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Sample records for allocating network resources

  1. Electronic neural network for dynamic resource allocation

    NASA Technical Reports Server (NTRS)

    Thakoor, A. P.; Eberhardt, S. P.; Daud, T.

    1991-01-01

    A VLSI implementable neural network architecture for dynamic assignment is presented. The resource allocation problems involve assigning members of one set (e.g. resources) to those of another (e.g. consumers) such that the global 'cost' of the associations is minimized. The network consists of a matrix of sigmoidal processing elements (neurons), where the rows of the matrix represent resources and columns represent consumers. Unlike previous neural implementations, however, association costs are applied directly to the neurons, reducing connectivity of the network to VLSI-compatible 0 (number of neurons). Each row (and column) has an additional neuron associated with it to independently oversee activations of all the neurons in each row (and each column), providing a programmable 'k-winner-take-all' function. This function simultaneously enforces blocking (excitatory/inhibitory) constraints during convergence to control the number of active elements in each row and column within desired boundary conditions. Simulations show that the network, when implemented in fully parallel VLSI hardware, offers optimal (or near-optimal) solutions within only a fraction of a millisecond, for problems up to 128 resources and 128 consumers, orders of magnitude faster than conventional computing or heuristic search methods.

  2. Optimal Resource Allocation in Electrical Network Defense

    SciTech Connect

    Yao, Y; Edmunds, T; Papageorgiou, D; Alvarez, R

    2004-01-15

    Infrastructure networks supplying electricity, natural gas, water, and other commodities are at risk of disruption due to well-engineered and coordinated terrorist attacks. Countermeasures such as hardening targets, acquisition of spare critical components, and surveillance can be undertaken to detect and deter these attacks. Allocation of available countermeasures resources to sites or activities in a manner that maximizes their effectiveness is a challenging problem. This allocation must take into account the adversary's response after the countermeasure assets are in place and consequence mitigation measures the infrastructure operation can undertake after the attack. The adversary may simply switch strategies to avoid countermeasures when executing the attack. Stockpiling spares of critical energy infrastructure components has been identified as a key element of a grid infrastructure defense strategy in a recent National Academy of Sciences report [1]. Consider a scenario where an attacker attempts to interrupt the service of an electrical network by disabling some of its facilities while a defender wants to prevent or minimize the effectiveness of any attack. The interaction between the attacker and the defender can be described in three stages: (1) The defender deploys countermeasures, (2) The attacker disrupts the network, and (3) The defender responds to the attack by rerouting power to maintain service while trying to repair damage. In the first stage, the defender considers all possible attack scenarios and deploys countermeasures to defend against the worst scenarios. Countermeasures can include hardening targets, acquiring spare critical components, and installing surveillance devices. In the second stage, the attacker, with full knowledge of the deployed countermeasures, attempts to disable some nodes or links in the network to inflict the greatest loss on the defender. In the third stage, the defender re-dispatches power and restores disabled nodes or

  3. Optimal resource allocation in random networks with transportation bandwidths

    NASA Astrophysics Data System (ADS)

    Yeung, C. H.; Wong, K. Y. Michael

    2009-03-01

    We apply statistical physics to study the task of resource allocation in random sparse networks with limited bandwidths for the transportation of resources along the links. Recursive relations from the Bethe approximation are converted into useful algorithms. Bottlenecks emerge when the bandwidths are small, causing an increase in the fraction of idle links. For a given total bandwidth per node, the efficiency of allocation increases with the network connectivity. In the high connectivity limit, we find a phase transition at a critical bandwidth, above which clusters of balanced nodes appear, characterized by a profile of homogenized resource allocation similar to the Maxwell construction.

  4. Space Network Control Conference on Resource Allocation Concepts and Approaches

    NASA Technical Reports Server (NTRS)

    Moe, Karen L. (Editor)

    1991-01-01

    The results are presented of the Space Network Control (SNC) Conference. In the late 1990s, when the Advanced Tracking and Data Relay Satellite System is operational, Space Network communication services will be supported and controlled by the SNC. The goals of the conference were to survey existing resource allocation concepts and approaches, to identify solutions applicable to the Space Network, and to identify avenues of study in support of the SNC development. The conference was divided into three sessions: (1) Concepts for Space Network Allocation; (2) SNC and User Payload Operations Control Center (POCC) Human-Computer Interface Concepts; and (3) Resource Allocation Tools, Technology, and Algorithms. Key recommendations addressed approaches to achieving higher levels of automation in the scheduling process.

  5. Dynamic Resource Allocation in Hybrid Access Femtocell Network

    PubMed Central

    Islam, Mohammad Tariqul

    2014-01-01

    Intercell interference is one of the most challenging issues in femtocell deployment under the coverage of existing macrocell. Allocation of resources between femtocell and macrocell is essential to counter the effects of interference in dense femtocell networks. Advances in resource management strategies have improved the control mechanism for interference reduction at lower node density, but most of them are ineffective at higher node density. In this paper, a dynamic resource allocation management algorithm (DRAMA) for spectrum shared hybrid access OFDMA femtocell network is proposed. To reduce the macro-femto-tier interference and to improve the quality of service, the proposed algorithm features a dynamic resource allocation scheme by controlling them both centrally and locally. The proposed scheme focuses on Femtocell Access Point (FAP) owners' satisfaction and allows maximum utilization of available resources based on congestion in the network. A simulation environment is developed to study the quantitative performance of DRAMA in hybrid access-control femtocell network and compare it to closed and open access mechanisms. The performance analysis shows that higher number of random users gets connected to the FAP without compromising FAP owners' satisfaction allowing the macrocell to offload a large number of users in a dense heterogeneous network. PMID:24782662

  6. Decomposition method for zonal resource allocation problems in telecommunication networks

    NASA Astrophysics Data System (ADS)

    Konnov, I. V.; Kashuba, A. Yu

    2016-11-01

    We consider problems of optimal resource allocation in telecommunication networks. We first give an optimization formulation for the case where the network manager aims to distribute some homogeneous resource (bandwidth) among users of one region with quadratic charge and fee functions and present simple and efficient solution methods. Next, we consider a more general problem for a provider of a wireless communication network divided into zones (clusters) with common capacity constraints. We obtain a convex quadratic optimization problem involving capacity and balance constraints. By using the dual Lagrangian method with respect to the capacity constraint, we suggest to reduce the initial problem to a single-dimensional optimization problem, but calculation of the cost function value leads to independent solution of zonal problems, which coincide with the above single region problem. Some results of computational experiments confirm the applicability of the new methods.

  7. Radio Resource Allocation on Complex 4G Wireless Cellular Networks

    NASA Astrophysics Data System (ADS)

    Psannis, Kostas E.

    2015-09-01

    In this article we consider the heuristic algorithm which improves step by step wireless data delivery over LTE cellular networks by using the total transmit power with the constraint on users’ data rates, and the total throughput with the constraints on the total transmit power as well as users’ data rates, which are jointly integrated into a hybrid-layer design framework to perform radio resource allocation for multiple users, and to effectively decide the optimal system parameter such as modulation and coding scheme (MCS) in order to adapt to the varying channel quality. We propose new heuristic algorithm which balances the accessible data rate, the initial data rates of each user allocated by LTE scheduler, the priority indicator which signals delay- throughput- packet loss awareness of the user, and the buffer fullness by achieving maximization of radio resource allocation for multiple users. It is noted that the overall performance is improved with the increase in the number of users, due to multiuser diversity. Experimental results illustrate and validate the accuracy of the proposed methodology.

  8. Iterative resource allocation for ranking spreaders in complex networks

    NASA Astrophysics Data System (ADS)

    Ren, Zhuo-Ming; Zeng, An; Chen, Duan-Bing; Liao, Hao; Liu, Jian-Guo

    2014-05-01

    Ranking the spreading influence of nodes in networks is a very important issue with wide applications in many different fields. Various topology-based centrality measures have been proposed to identify influential spreaders. However, the spreading influence of a node is usually not only determined by its own centrality but also largely influenced by the centrality of neighbors. To incorporate the centrality information of neighbors in ranking spreaders, we design an iterative resource allocation (IRA) process in which the resource of nodes distributes to their neighbors according to neighbors' centrality. After iterations, the resource amount on each node will be stable and the final resources of nodes are used to rank their spreading influence. The iterative process can be applied to many traditional centrality measures including degree, K-shell, closeness, and betweenness. The validation of our method is based on the susceptible-infected-recovered (SIR) spreading in four representative real datasets. The results show that the ranking accuracy of the traditional centrality measures is remarkably enhanced by IRA.

  9. Software for Allocating Resources in the Deep Space Network

    NASA Technical Reports Server (NTRS)

    Wang, Yeou-Fang; Borden, Chester; Zendejas, Silvino; Baldwin, John

    2003-01-01

    TIGRAS 2.0 is a computer program designed to satisfy a need for improved means for analyzing the tracking demands of interplanetary space-flight missions upon the set of ground antenna resources of the Deep Space Network (DSN) and for allocating those resources. Written in Microsoft Visual C++, TIGRAS 2.0 provides a single rich graphical analysis environment for use by diverse DSN personnel, by connecting to various data sources (relational databases or files) based on the stages of the analyses being performed. Notable among the algorithms implemented by TIGRAS 2.0 are a DSN antenna-load-forecasting algorithm and a conflict-aware DSN schedule-generating algorithm. Computers running TIGRAS 2.0 can also be connected using SOAP/XML to a Web services server that provides analysis services via the World Wide Web. TIGRAS 2.0 supports multiple windows and multiple panes in each window for users to view and use information, all in the same environment, to eliminate repeated switching among various application programs and Web pages. TIGRAS 2.0 enables the use of multiple windows for various requirements, trajectory-based time intervals during which spacecraft are viewable, ground resources, forecasts, and schedules. Each window includes a time navigation pane, a selection pane, a graphical display pane, a list pane, and a statistics pane.

  10. Dynamic optical resource allocation for mobile core networks with software defined elastic optical networking.

    PubMed

    Zhao, Yongli; Chen, Zhendong; Zhang, Jie; Wang, Xinbo

    2016-07-25

    Driven by the forthcoming of 5G mobile communications, the all-IP architecture of mobile core networks, i.e. evolved packet core (EPC) proposed by 3GPP, has been greatly challenged by the users' demands for higher data rate and more reliable end-to-end connection, as well as operators' demands for low operational cost. These challenges can be potentially met by software defined optical networking (SDON), which enables dynamic resource allocation according to the users' requirement. In this article, a novel network architecture for mobile core network is proposed based on SDON. A software defined network (SDN) controller is designed to realize the coordinated control over different entities in EPC networks. We analyze the requirement of EPC-lightpath (EPCL) in data plane and propose an optical switch load balancing (OSLB) algorithm for resource allocation in optical layer. The procedure of establishment and adjustment of EPCLs is demonstrated on a SDON-based EPC testbed with extended OpenFlow protocol. We also evaluate the OSLB algorithm through simulation in terms of bandwidth blocking ratio, traffic load distribution, and resource utilization ratio compared with link-based load balancing (LLB) and MinHops algorithms.

  11. Efficient Allocation of Resources for Defense of Spatially Distributed Networks Using Agent-Based Simulation.

    PubMed

    Kroshl, William M; Sarkani, Shahram; Mazzuchi, Thomas A

    2015-09-01

    This article presents ongoing research that focuses on efficient allocation of defense resources to minimize the damage inflicted on a spatially distributed physical network such as a pipeline, water system, or power distribution system from an attack by an active adversary, recognizing the fundamental difference between preparing for natural disasters such as hurricanes, earthquakes, or even accidental systems failures and the problem of allocating resources to defend against an opponent who is aware of, and anticipating, the defender's efforts to mitigate the threat. Our approach is to utilize a combination of integer programming and agent-based modeling to allocate the defensive resources. We conceptualize the problem as a Stackelberg "leader follower" game where the defender first places his assets to defend key areas of the network, and the attacker then seeks to inflict the maximum damage possible within the constraints of resources and network structure. The criticality of arcs in the network is estimated by a deterministic network interdiction formulation, which then informs an evolutionary agent-based simulation. The evolutionary agent-based simulation is used to determine the allocation of resources for attackers and defenders that results in evolutionary stable strategies, where actions by either side alone cannot increase its share of victories. We demonstrate these techniques on an example network, comparing the evolutionary agent-based results to a more traditional, probabilistic risk analysis (PRA) approach. Our results show that the agent-based approach results in a greater percentage of defender victories than does the PRA-based approach.

  12. Estimation of Distribution Algorithm for Resource Allocation in Green Cooperative Cognitive Radio Sensor Networks

    PubMed Central

    Naeem, Muhammad; Pareek, Udit; Lee, Daniel C.; Anpalagan, Alagan

    2013-01-01

    Due to the rapid increase in the usage and demand of wireless sensor networks (WSN), the limited frequency spectrum available for WSN applications will be extremely crowded in the near future. More sensor devices also mean more recharging/replacement of batteries, which will cause significant impact on the global carbon footprint. In this paper, we propose a relay-assisted cognitive radio sensor network (CRSN) that allocates communication resources in an environmentally friendly manner. We use shared band amplify and forward relaying for cooperative communication in the proposed CRSN. We present a multi-objective optimization architecture for resource allocation in a green cooperative cognitive radio sensor network (GC-CRSN). The proposed multi-objective framework jointly performs relay assignment and power allocation in GC-CRSN, while optimizing two conflicting objectives. The first objective is to maximize the total throughput, and the second objective is to minimize the total transmission power of CRSN. The proposed relay assignment and power allocation problem is a non-convex mixed-integer non-linear optimization problem (NC-MINLP), which is generally non-deterministic polynomial-time (NP)-hard. We introduce a hybrid heuristic algorithm for this problem. The hybrid heuristic includes an estimation-of-distribution algorithm (EDA) for performing power allocation and iterative greedy schemes for constraint satisfaction and relay assignment. We analyze the throughput and power consumption tradeoff in GC-CRSN. A detailed analysis of the performance of the proposed algorithm is presented with the simulation results. PMID:23584119

  13. Reinforcement learning for resource allocation in LEO satellite networks.

    PubMed

    Usaha, Wipawee; Barria, Javier A

    2007-06-01

    In this paper, we develop and assess online decision-making algorithms for call admission and routing for low Earth orbit (LEO) satellite networks. It has been shown in a recent paper that, in a LEO satellite system, a semi-Markov decision process formulation of the call admission and routing problem can achieve better performance in terms of an average revenue function than existing routing methods. However, the conventional dynamic programming (DP) numerical solution becomes prohibited as the problem size increases. In this paper, two solution methods based on reinforcement learning (RL) are proposed in order to circumvent the computational burden of DP. The first method is based on an actor-critic method with temporal-difference (TD) learning. The second method is based on a critic-only method, called optimistic TD learning. The algorithms enhance performance in terms of requirements in storage, computational complexity and computational time, and in terms of an overall long-term average revenue function that penalizes blocked calls. Numerical studies are carried out, and the results obtained show that the RL framework can achieve up to 56% higher average revenue over existing routing methods used in LEO satellite networks with reasonable storage and computational requirements.

  14. Underground resource allocation between individual networks of mycorrhizal fungi.

    PubMed

    Mikkelsen, Bolette L; Rosendahl, Søren; Jakobsen, Iver

    2008-01-01

    Fusions between individual mycelia of arbuscular mycorrhizal (AM) fungi have been observed in two-dimensional systems but never in soil systems. Here, phosphorus ((32)P) labelling was used to demonstrate nutrient transfer between individual mycelia and to investigate the possible role of anastomosis. Trifolium subterraneum colonized by Glomus mosseae were grown in root-retaining mesh bags, which were placed 20 cm apart. The mycelium of one plant, the donor, had access to (32)P-labelled soil placed adjacent to the mesh bag. Transfer of (32)P from the donor mycelium to the receiver plant was measured at three harvests. In a second-harvest control treatment the receiver was colonized by Glomus caledonium in order to determine whether transfer occurred by other means than hyphal fusions. Significant amounts of P were transferred to the receiver plant at the last harvests when the two mycelia of G. mosseae overlapped. The transfer probably occurred via anastomoses between the mycelia as no transfer of (32)P was detected between the mycelia of different fungi at the second harvest. The indicated ability of AM fungal mycelia to anastomose in soil has implications for the formation of large plant-interlinking functional networks, long-distance nutrient transport and retention of nutrients in readily plant-available pools.

  15. Market Model for Resource Allocation in Emerging Sensor Networks with Reinforcement Learning.

    PubMed

    Zhang, Yue; Song, Bin; Zhang, Ying; Du, Xiaojiang; Guizani, Mohsen

    2016-11-29

    Emerging sensor networks (ESNs) are an inevitable trend with the development of the Internet of Things (IoT), and intend to connect almost every intelligent device. Therefore, it is critical to study resource allocation in such an environment, due to the concern of efficiency, especially when resources are limited. By viewing ESNs as multi-agent environments, we model them with an agent-based modelling (ABM) method and deal with resource allocation problems with market models, after describing users' patterns. Reinforcement learning methods are introduced to estimate users' patterns and verify the outcomes in our market models. Experimental results show the efficiency of our methods, which are also capable of guiding topology management.

  16. Market Model for Resource Allocation in Emerging Sensor Networks with Reinforcement Learning

    PubMed Central

    Zhang, Yue; Song, Bin; Zhang, Ying; Du, Xiaojiang; Guizani, Mohsen

    2016-01-01

    Emerging sensor networks (ESNs) are an inevitable trend with the development of the Internet of Things (IoT), and intend to connect almost every intelligent device. Therefore, it is critical to study resource allocation in such an environment, due to the concern of efficiency, especially when resources are limited. By viewing ESNs as multi-agent environments, we model them with an agent-based modelling (ABM) method and deal with resource allocation problems with market models, after describing users’ patterns. Reinforcement learning methods are introduced to estimate users’ patterns and verify the outcomes in our market models. Experimental results show the efficiency of our methods, which are also capable of guiding topology management. PMID:27916841

  17. Fair resource allocation and stability for communication networks with multipath routing

    NASA Astrophysics Data System (ADS)

    Li, Shiyong; Sun, Wei; Hua, Changchun

    2014-11-01

    Multipath networks allow that each source-destination pair can have several different paths for data transmission, thus they improve the performance of increasingly bandwidth-hungry applications and well cater for traffic load balancing and bandwidth usage efficiency. This paper investigates fair resource allocation for users in multipath networks and formulates it as a multipath network utility maximisation problem with several fairness concepts. By applying the Lagrangian method, sub-problems for users and paths are derived from the resource allocation model and interpreted from an economic point of view. In order to solve the model, a novel rate-based flow control algorithm is proposed for achieving optimal resource allocation, which depends only on local information. In the presence of round-trip delays, sufficient conditions are obtained for local stability of the delayed algorithm. As for the end-to-end implementation in Internet, a window-based flow control mechanism is presented since it is more convenient to implement than rate-based flow control.

  18. Dynamic resource allocation for target tracking in sensor and robot networks

    NASA Astrophysics Data System (ADS)

    Shan, Xiaoning; Tan, Jindong

    2005-05-01

    Sensor network is generally composed of a set of sensors with limited computation capability and power supply. Thus, a well-defined allocation scheme is essential for maintaining the whole sensor network. This paper investigates the dynamic resource allocation problem in a sensor and robot networks for mobile target tracking tasks. Most of sensors will be in sleep mode except for the ones that can contribute for tracking. The sensor network resource allocation is achieved by a hierarchical structure--clustering. Upon detecting an interested event, a set of sensors form a cluster. Only cluster members will be activated during the tracking task. The cluster headship and membership will be updated based on the target's movement properties. In this paper, the clustering algorithm considers sensing area with communication holes and a routing tree is set up within the cluster. For a cluster with communication and/or sensing holes, mobile sensors will be deployed to enhance the sensing and communication capability in the clustering area. Simulations have been used to verify the proposed algorithm.

  19. Adaptive call admission control and resource allocation in multi server wireless/cellular network

    NASA Astrophysics Data System (ADS)

    Jain, Madhu; Mittal, Ragini

    2016-11-01

    The ever increasing demand of the subscribers has put pressure on the capacity of wireless networks around the world. To utilize the scare resources, in the present paper we propose an optimal allocation scheme for an integrated wireless/cellular model with handoff priority and handoff guarantee services. The suggested algorithm optimally allocates the resources in each cell and dynamically adjust threshold to control the admission. To give the priority to handoff calls over the new calls, the provision of guard channels and subrating scheme is taken into consideration. The handoff voice call may balk and renege from the system while waiting in the buffer. An iterative algorithm is implemented to generate the arrival rate of the handoff calls in each cell. Various performance indices are established in term of steady state probabilities. The sensitivity analysis has also been carried out to examine the tractability of algorithms and to explore the effects of system descriptors on the performance indices.

  20. Resource allocation for downlink multiuser video transmission over wireless lossy networks.

    PubMed

    Maani, Ehsan; Pahalawatta, Peshala V; Berry, Randall; Pappas, Thrasyvoulos N; Katsaggelos, Aggelos K

    2008-09-01

    Demand for multimedia services, such as video streaming over wireless networks, has grown dramatically in recent years. The downlink transmission of multiple video sequences to multiple users over a shared resource-limited wireless channel, however, is a daunting task. Among the many challenges in this area are the time-varying channel conditions, limited available resources, such as bandwidth and power, and the different transmission requirements of different video content. This work takes into account the time-varying nature of the wireless channels, as well as the importance of individual video packets, to develop a cross-layer resource allocation and packet scheduling scheme for multiuser video streaming over lossy wireless packet access networks. Assuming that accurate channel feedback is not available at the scheduler, random channel losses combined with complex error concealment at the receiver make it impossible for the scheduler to determine the actual distortion of the sequence at the receiver. Therefore, the objective of the optimization is to minimize the expected distortion of the received sequence, where the expectation is calculated at the scheduler with respect to the packet loss probability in the channel. The expected distortion is used to order the packets in the transmission queue of each user, and then gradients of the expected distortion are used to efficiently allocate resources across users. Simulations show that the proposed scheme performs significantly better than a conventional content-independent scheme for video transmission.

  1. A network-centric robust resource allocation strategy for unmanned systems: stability analysis

    NASA Astrophysics Data System (ADS)

    Bouyoucef, K.; Khorasani, K.

    2007-04-01

    It is widely understood that communication is a critical technological factor in designing autonomous unmanned networks consisting of a large number of heterogeneous nodes that may be configured in ad-hoc fashions and incorporating intricate architectures. In fact, one of the challenges in this field is to recognize the entire network as a heterogenous collection of physical and information systems with complicated interconnections and interactions. Using high data rates that are essential for real-time interactive command and control systems, these networks require utilization of optimal integration of local feedback loops into a scheduling and resource allocation systems. This integration becomes particularly problematic in presence of latencies and delays. Given that dynamics of a network of unmanned systems could easily become unstable depending on interconnections among nodes, in this paper stability of the resulting time-delayed controlled network based on configuration changes is studied. We also formally investigate sufficient conditions for our proposed robust resource allocation strategies to be able to cope with these interconnections and time-delays in an optimal fashion. Our time-delayed dependent network consists of three nodes that can be configured into different architectures. To model our traffic and network we use a fluid flow model that is of low order and simpler than a detailed Markovian queueing probabilistic model. Using sliding mode-based variable structure control (SM-VSC) techniques that enjoy robustness capabilities, we design on the basis of an inaccurate/uncertain model our proposed robust nonlinear feedback-based control approaches. The results presented are analyzed analytically to guarantee stability of known/unknown time-delayed dependent network of unmanned systems for different configurations.

  2. Game theoretic wireless resource allocation for H.264 MGS video transmission over cognitive radio networks

    NASA Astrophysics Data System (ADS)

    Fragkoulis, Alexandros; Kondi, Lisimachos P.; Parsopoulos, Konstantinos E.

    2015-03-01

    We propose a method for the fair and efficient allocation of wireless resources over a cognitive radio system network to transmit multiple scalable video streams to multiple users. The method exploits the dynamic architecture of the Scalable Video Coding extension of the H.264 standard, along with the diversity that OFDMA networks provide. We use a game-theoretic Nash Bargaining Solution (NBS) framework to ensure that each user receives the minimum video quality requirements, while maintaining fairness over the cognitive radio system. An optimization problem is formulated, where the objective is the maximization of the Nash product while minimizing the waste of resources. The problem is solved by using a Swarm Intelligence optimizer, namely Particle Swarm Optimization. Due to the high dimensionality of the problem, we also introduce a dimension-reduction technique. Our experimental results demonstrate the fairness imposed by the employed NBS framework.

  3. Primary health-care network monitoring: a hierarchical resource allocation modeling approach.

    PubMed

    Pur, Aleksander; Bohanec, Marko; Lavrac, Nada; Cestnik, Bojan

    2010-01-01

    Management of a primary health-care network (PHCN) is a difficult task in every country. A suitable monitoring system can provide useful information for PHCN management, especially given a large quantity of health-care data that is produced daily in the network. This paper proposes a methodology for structured development of monitoring systems and a PHCN resource allocation monitoring model based on this methodology. The purpose of the monitoring model is to improve the allocation of health-care resources. The proposed methodology is based on modules that are organized into a hierarchy, where each module monitors a particular aspect of the system. This methodology was used to design a PHCN monitoring model for Slovenia. Specific aspects of the Slovenian PHCN were taken into account such as varying needs of patients from different municipalities, existence of small municipalities having less than 1000 residents, the fact that many patients visit physicians in other municipalities, and that physicians may work at more than one location or organization. The main modules in the model are focused on the overall assessment of the PHCN, monitoring of patients visits to health-care providers (HCPs), physical accessibility of health services, segment of patients in municipalities who have not selected a personal physician, assessment of the availability of HCPs for patients, physicians working on more than one location, and available human resources in the PHCN. Most of the model's components are general and can be adapted for other national health-care systems.

  4. Power-efficient distributed resource allocation under goodput QoS constraints for heterogeneous networks

    NASA Astrophysics Data System (ADS)

    Andreotti, Riccardo; Del Fiorentino, Paolo; Giannetti, Filippo; Lottici, Vincenzo

    2016-12-01

    This work proposes a distributed resource allocation (RA) algorithm for packet bit-interleaved coded OFDM transmissions in the uplink of heterogeneous networks (HetNets), characterized by small cells deployed over a macrocell area and sharing the same band. Every user allocates its transmission resources, i.e., bits per active subcarrier, coding rate, and power per subcarrier, to minimize the power consumption while both guaranteeing a target quality of service (QoS) and accounting for the interference inflicted by other users transmitting over the same band. The QoS consists of the number of information bits delivered in error-free packets per unit of time, or goodput (GP), estimated at the transmitter by resorting to an efficient effective SNR mapping technique. First, the RA problem is solved in the point-to-point case, thus deriving an approximate yet accurate closed-form expression for the power allocation (PA). Then, the interference-limited HetNet case is examined, where the RA problem is described as a non-cooperative game, providing a solution in terms of generalized Nash equilibrium. Thanks to the closed-form of the PA, the solution analysis is based on the best response concept. Hence, sufficient conditions for existence and uniqueness of the solution are analytically derived, along with a distributed algorithm capable of reaching the game equilibrium.

  5. Critical phenomena in communication/computation networks with various topologies and suboptimal to optimal resource allocation

    NASA Astrophysics Data System (ADS)

    Cogoni, Marco; Busonera, Giovanni; Anedda, Paolo; Zanetti, Gianluigi

    2015-01-01

    We generalize previous studies on critical phenomena in communication networks [1,2] by adding computational capabilities to the nodes. In our model, a set of tasks with random origin, destination and computational structure is distributed on a computational network, modeled as a graph. By varying the temperature of a Metropolis Montecarlo, we explore the global latency for an optimal to suboptimal resource assignment at a given time instant. By computing the two-point correlation function for the local overload, we study the behavior of the correlation distance (both for links and nodes) while approaching the congested phase: a transition from peaked to spread g(r) is seen above a critical (Montecarlo) temperature Tc. The average latency trend of the system is predicted by averaging over several network traffic realizations while maintaining a spatially detailed information for each node: a sharp decrease of performance is found over Tc independently of the workload. The globally optimized computational resource allocation and network routing defines a baseline for a future comparison of the transition behavior with respect to existing routing strategies [3,4] for different network topologies.

  6. QoS-Oriented High Dynamic Resource Allocation in Vehicular Communication Networks

    PubMed Central

    2014-01-01

    Vehicular ad hoc networks (VANETs) are emerging as new research area and attracting an increasing attention from both industry and research communities. In this context, a dynamic resource allocation policy that maximizes the use of available resources and meets the quality of service (QoS) requirement of constraining applications is proposed. It is a combination of a fair packet scheduling policy and a new adaptive QoS oriented call admission control (CAC) scheme based on the vehicle density variation. This scheme decides whether the connection request is to be admitted into the system, while providing fair access and guaranteeing the desired throughput. The proposed algorithm showed good performance in testing in real world environment. PMID:24616639

  7. QoS-oriented high dynamic resource allocation in vehicular communication networks.

    PubMed

    Bejaoui, Tarek

    2014-01-01

    Vehicular ad hoc networks (VANETs) are emerging as new research area and attracting an increasing attention from both industry and research communities. In this context, a dynamic resource allocation policy that maximizes the use of available resources and meets the quality of service (QoS) requirement of constraining applications is proposed. It is a combination of a fair packet scheduling policy and a new adaptive QoS oriented call admission control (CAC) scheme based on the vehicle density variation. This scheme decides whether the connection request is to be admitted into the system, while providing fair access and guaranteeing the desired throughput. The proposed algorithm showed good performance in testing in real world environment.

  8. A Novel Optimal Joint Resource Allocation Method in Cooperative Multicarrier Networks: Theory and Practice

    PubMed Central

    Gao, Yuan; Zhou, Weigui; Ao, Hong; Chu, Jian; Zhou, Quan; Zhou, Bo; Wang, Kang; Li, Yi; Xue, Peng

    2016-01-01

    With the increasing demands for better transmission speed and robust quality of service (QoS), the capacity constrained backhaul gradually becomes a bottleneck in cooperative wireless networks, e.g., in the Internet of Things (IoT) scenario in joint processing mode of LTE-Advanced Pro. This paper focuses on resource allocation within capacity constrained backhaul in uplink cooperative wireless networks, where two base stations (BSs) equipped with single antennae serve multiple single-antennae users via multi-carrier transmission mode. In this work, we propose a novel cooperative transmission scheme based on compress-and-forward with user pairing to solve the joint mixed integer programming problem. To maximize the system capacity under the limited backhaul, we formulate the joint optimization problem of user sorting, subcarrier mapping and backhaul resource sharing among different pairs (subcarriers for users). A novel robust and efficient centralized algorithm based on alternating optimization strategy and perfect mapping is proposed. Simulations show that our novel method can improve the system capacity significantly under the constraint of the backhaul resource compared with the blind alternatives. PMID:27077865

  9. Relationship Reciprocation Modulates Resource Allocation in Adolescent Social Networks: Developmental Effects.

    PubMed

    Burnett Heyes, Stephanie; Jih, Yeou-Rong; Block, Per; Hiu, Chii-Fen; Holmes, Emily A; Lau, Jennifer Y F

    2015-01-01

    Adolescence is characterized as a period of social reorientation toward peer relationships, entailing the emergence of sophisticated social abilities. Two studies (Study 1: N = 42, ages 13-17; Study 2: N = 81, ages 13-16) investigated age group differences in the impact of relationship reciprocation within school-based social networks on an experimental measure of cooperation behavior. Results suggest development between mid- and late adolescence in the extent to which reciprocation of social ties predicted resource allocation. With increasing age group, investment decisions increasingly reflected the degree to which peers reciprocated feelings of friendship. This result may reflect social-cognitive development, which could facilitate the ability to navigate an increasingly complex social world in adolescence and promote positive and enduring relationships into adulthood.

  10. Competitive allocation of resources on a network: an agent-based model of air companies competing for the best routes

    NASA Astrophysics Data System (ADS)

    Gurtner, Gérald; Valori, Luca; Lillo, Fabrizio

    2015-05-01

    We present a stylized model of the allocation of resources on a network. By considering as a concrete example the network of sectors of the airspace, where each node is a sector characterized by a maximal number of simultaneously present aircraft, we consider the problem of air companies competing for the allocation of the airspace. Each company is characterized by a cost function, weighting differently punctuality and length of the flight. We consider the model in the presence of pure and mixed populations of types of airline companies and we study how the equilibria depends on the characteristics of the network.

  11. Collaborative Resource Allocation

    NASA Technical Reports Server (NTRS)

    Wang, Yeou-Fang; Wax, Allan; Lam, Raymond; Baldwin, John; Borden, Chester

    2007-01-01

    Collaborative Resource Allocation Networking Environment (CRANE) Version 0.5 is a prototype created to prove the newest concept of using a distributed environment to schedule Deep Space Network (DSN) antenna times in a collaborative fashion. This program is for all space-flight and terrestrial science project users and DSN schedulers to perform scheduling activities and conflict resolution, both synchronously and asynchronously. Project schedulers can, for the first time, participate directly in scheduling their tracking times into the official DSN schedule, and negotiate directly with other projects in an integrated scheduling system. A master schedule covers long-range, mid-range, near-real-time, and real-time scheduling time frames all in one, rather than the current method of separate functions that are supported by different processes and tools. CRANE also provides private workspaces (both dynamic and static), data sharing, scenario management, user control, rapid messaging (based on Java Message Service), data/time synchronization, workflow management, notification (including emails), conflict checking, and a linkage to a schedule generation engine. The data structure with corresponding database design combines object trees with multiple associated mortal instances and relational database to provide unprecedented traceability and simplify the existing DSN XML schedule representation. These technologies are used to provide traceability, schedule negotiation, conflict resolution, and load forecasting from real-time operations to long-range loading analysis up to 20 years in the future. CRANE includes a database, a stored procedure layer, an agent-based middle tier, a Web service wrapper, a Windows Integrated Analysis Environment (IAE), a Java application, and a Web page interface.

  12. Joint Mode Selection and Resource Allocation for Cellular Controlled Short-Range Communication in OFDMA Networks

    NASA Astrophysics Data System (ADS)

    Deng, Hui; Tao, Xiaoming; Ge, Ning; Lu, Jianhua

    This letter studies cellular controlled short-range communication in OFDMA networks. The network needs to decide when to allow direct communication between a closely located device-to-device (D2D) pair instead of conveying data from one device to the other via the base station and when not to, in addition to subchannel and power allocation. Our goal is to maximize the total network throughput while guaranteeing the rate requirements of all users. For that purpose, we formulate an optimization problem subject to subchannel and power constraints. A scheme which combines a joint mode selection and subchannel allocation algorithm based on equal power allocation with a power reallocation scheme is proposed. Simulation results show that our proposed scheme can improve the network throughput and outage probability compared with other schemes.

  13. Opportunistic Capacity-Based Resource Allocation for Chunk-Based Multi-Carrier Cognitive Radio Sensor Networks

    PubMed Central

    Huang, Jie; Zeng, Xiaoping; Jian, Xin; Tan, Xiaoheng; Zhang, Qi

    2017-01-01

    The spectrum allocation for cognitive radio sensor networks (CRSNs) has received considerable research attention under the assumption that the spectrum environment is static. However, in practice, the spectrum environment varies over time due to primary user/secondary user (PU/SU) activity and mobility, resulting in time-varied spectrum resources. This paper studies resource allocation for chunk-based multi-carrier CRSNs with time-varied spectrum resources. We present a novel opportunistic capacity model through a continuous time semi-Markov chain (CTSMC) to describe the time-varied spectrum resources of chunks and, based on this, a joint power and chunk allocation model by considering the opportunistically available capacity of chunks is proposed. To reduce the computational complexity, we split this model into two sub-problems and solve them via the Lagrangian dual method. Simulation results illustrate that the proposed opportunistic capacity-based resource allocation algorithm can achieve better performance compared with traditional algorithms when the spectrum environment is time-varied. PMID:28106803

  14. Resource Balancing Control Allocation

    NASA Technical Reports Server (NTRS)

    Frost, Susan A.; Bodson, Marc

    2010-01-01

    Next generation aircraft with a large number of actuators will require advanced control allocation methods to compute the actuator commands needed to follow desired trajectories while respecting system constraints. Previously, algorithms were proposed to minimize the l1 or l2 norms of the tracking error and of the control effort. The paper discusses the alternative choice of using the l1 norm for minimization of the tracking error and a normalized l(infinity) norm, or sup norm, for minimization of the control effort. The algorithm computes the norm of the actuator deflections scaled by the actuator limits. Minimization of the control effort then translates into the minimization of the maximum actuator deflection as a percentage of its range of motion. The paper shows how the problem can be solved effectively by converting it into a linear program and solving it using a simplex algorithm. Properties of the algorithm are investigated through examples. In particular, the min-max criterion results in a type of resource balancing, where the resources are the control surfaces and the algorithm balances these resources to achieve the desired command. A study of the sensitivity of the algorithms to the data is presented, which shows that the normalized l(infinity) algorithm has the lowest sensitivity, although high sensitivities are observed whenever the limits of performance are reached.

  15. K-Shortest-Path-Based Evacuation Routing with Police Resource Allocation in City Transportation Networks.

    PubMed

    He, Yunyue; Liu, Zhong; Shi, Jianmai; Wang, Yishan; Zhang, Jiaming; Liu, Jinyuan

    2015-01-01

    Emergency evacuation aims to transport people from dangerous places to safe shelters as quickly as possible. Police play an important role in the evacuation process, as they can handle traffic accidents immediately and help people move smoothly on roads. This paper investigates an evacuation routing problem that involves police resource allocation. We propose a novel k-th-shortest-path-based technique that uses explicit congestion control to optimize evacuation routing and police resource allocation. A nonlinear mixed-integer programming model is presented to formulate the problem. The model's objective is to minimize the overall evacuation clearance time. Two algorithms are given to solve the problem. The first one linearizes the original model and solves the linearized problem with CPLEX. The second one is a heuristic algorithm that uses a police resource utilization efficiency index to directly solve the original model. This police resource utilization efficiency index significantly aids in the evaluation of road links from an evacuation throughput perspective. The proposed algorithms are tested with a number of examples based on real data from cities of different sizes. The computational results show that the police resource utilization efficiency index is very helpful in finding near-optimal solutions. Additionally, comparing the performance of the heuristic algorithm and the linearization method by using randomly generated examples indicates that the efficiency of the heuristic algorithm is superior.

  16. K-Shortest-Path-Based Evacuation Routing with Police Resource Allocation in City Transportation Networks

    PubMed Central

    He, Yunyue; Liu, Zhong; Shi, Jianmai; Wang, Yishan; Zhang, Jiaming; Liu, Jinyuan

    2015-01-01

    Emergency evacuation aims to transport people from dangerous places to safe shelters as quickly as possible. Police play an important role in the evacuation process, as they can handle traffic accidents immediately and help people move smoothly on roads. This paper investigates an evacuation routing problem that involves police resource allocation. We propose a novel k-th-shortest-path-based technique that uses explicit congestion control to optimize evacuation routing and police resource allocation. A nonlinear mixed-integer programming model is presented to formulate the problem. The model’s objective is to minimize the overall evacuation clearance time. Two algorithms are given to solve the problem. The first one linearizes the original model and solves the linearized problem with CPLEX. The second one is a heuristic algorithm that uses a police resource utilization efficiency index to directly solve the original model. This police resource utilization efficiency index significantly aids in the evaluation of road links from an evacuation throughput perspective. The proposed algorithms are tested with a number of examples based on real data from cities of different sizes. The computational results show that the police resource utilization efficiency index is very helpful in finding near-optimal solutions. Additionally, comparing the performance of the heuristic algorithm and the linearization method by using randomly generated examples indicates that the efficiency of the heuristic algorithm is superior. PMID:26226109

  17. Physical and Cross-Layer Security Enhancement and Resource Allocation for Wireless Networks

    ERIC Educational Resources Information Center

    Bashar, Muhammad Shafi Al

    2011-01-01

    In this dissertation, we present novel physical (PHY) and cross-layer design guidelines and resource adaptation algorithms to improve the security and user experience in the future wireless networks. Physical and cross-layer wireless security measures can provide stronger overall security with high efficiency and can also provide better…

  18. Resource allocation using risk analysis

    SciTech Connect

    Bott, T. F.; Eisenhawer, S. W.

    2003-01-01

    Allocating limited resources among competing priorities is an important problem in management. In this paper we describe an approach to resource allocation using risk as a metric. We call this approach the Logic-Evolved Decision (LED) approach because we use logic-models to generate an exhaustive set of competing options and to describe the often highly complex model used for evaluating the risk reduction achieved by different resource allocations among these options. The risk evaluation then proceeds using probabilistic or linguistic input data.

  19. Large-scale reduction of the Bacillus subtilis genome: consequences for the transcriptional network, resource allocation, and metabolism.

    PubMed

    Reuß, Daniel R; Altenbuchner, Josef; Mäder, Ulrike; Rath, Hermann; Ischebeck, Till; Sappa, Praveen Kumar; Thürmer, Andrea; Guérin, Cyprien; Nicolas, Pierre; Steil, Leif; Zhu, Bingyao; Feussner, Ivo; Klumpp, Stefan; Daniel, Rolf; Commichau, Fabian M; Völker, Uwe; Stülke, Jörg

    2017-02-01

    Understanding cellular life requires a comprehensive knowledge of the essential cellular functions, the components involved, and their interactions. Minimized genomes are an important tool to gain this knowledge. We have constructed strains of the model bacterium, Bacillus subtilis, whose genomes have been reduced by ∼36%. These strains are fully viable, and their growth rates in complex medium are comparable to those of wild type strains. An in-depth multi-omics analysis of the genome reduced strains revealed how the deletions affect the transcription regulatory network of the cell, translation resource allocation, and metabolism. A comparison of gene counts and resource allocation demonstrates drastic differences in the two parameters, with 50% of the genes using as little as 10% of translation capacity, whereas the 6% essential genes require 57% of the translation resources. Taken together, the results are a valuable resource on gene dispensability in B. subtilis, and they suggest the roads to further genome reduction to approach the final aim of a minimal cell in which all functions are understood.

  20. Optimal dynamic bandwidth allocation for complex networks

    NASA Astrophysics Data System (ADS)

    Jiang, Zhong-Yuan; Liang, Man-Gui; Li, Qian; Guo, Dong-Chao

    2013-03-01

    Traffic capacity of one network strongly depends on the link’s bandwidth allocation strategy. In previous bandwidth allocation mechanisms, once one link’s bandwidth is allocated, it will be fixed throughout the overall traffic transmission process. However, the traffic load of every link changes from time to time. In this paper, with finite total bandwidth resource of the network, we propose to dynamically allocate the total bandwidth resource in which each link’s bandwidth is proportional to the queue length of the output buffer of the link per time step. With plenty of data packets in the network, the traffic handling ability of all links of the network achieves full utilization. The theoretical analysis and the extensive simulation results on complex networks are consistent. This work is valuable for network service providers to improve network performance or to do reasonable network design efficiently.

  1. Approaches to Resource Allocation

    ERIC Educational Resources Information Center

    Dressel, Paul; Simon, Lou Anna Kimsey

    1976-01-01

    Various budgeting patterns and strategies are currently in use, each with its own particular strengths and weaknesses. Neither cost-benefit analysis nor cost-effectiveness analysis offers any better solution to the allocation problem than do the unsupported contentions of departments or the historical unit costs. An operable model that performs…

  2. Ground data systems resource allocation process

    NASA Technical Reports Server (NTRS)

    Berner, Carol A.; Durham, Ralph; Reilly, Norman B.

    1989-01-01

    The Ground Data Systems Resource Allocation Process at the Jet Propulsion Laboratory provides medium- and long-range planning for the use of Deep Space Network and Mission Control and Computing Center resources in support of NASA's deep space missions and Earth-based science. Resources consist of radio antenna complexes and associated data processing and control computer networks. A semi-automated system was developed that allows operations personnel to interactively generate, edit, and revise allocation plans spanning periods of up to ten years (as opposed to only two or three weeks under the manual system) based on the relative merit of mission events. It also enhances scientific data return. A software system known as the Resource Allocation and Planning Helper (RALPH) merges the conventional methods of operations research, rule-based knowledge engineering, and advanced data base structures. RALPH employs a generic, highly modular architecture capable of solving a wide variety of scheduling and resource sequencing problems. The rule-based RALPH system has saved significant labor in resource allocation. Its successful use affirms the importance of establishing and applying event priorities based on scientific merit, and the benefit of continuity in planning provided by knowledge-based engineering. The RALPH system exhibits a strong potential for minimizing development cycles of resource and payload planning systems throughout NASA and the private sector.

  3. Joint Resource Allocation of Spectrum Sensing and Energy Harvesting in an Energy-Harvesting-Based Cognitive Sensor Network.

    PubMed

    Liu, Xin; Lu, Weidang; Ye, Liang; Li, Feng; Zou, Deyue

    2017-03-16

    The cognitive sensor (CS) can transmit data to the control center in the same spectrum that is licensed to the primary user (PU) when the absence of the PU is detected by spectrum sensing. However, the battery energy of the CS is limited due to its small size, deployment in atrocious environments and long-term working. In this paper, an energy-harvesting-based CS is described, which senses the PU together with collecting the radio frequency energy to supply data transmission. In order to improve the transmission performance of the CS, we have proposed the joint resource allocation of spectrum sensing and energy harvesting in the cases of a single energy-harvesting-based CS and an energy-harvesting-based cognitive sensor network (CSN), respectively. Based on the proposed frame structure, we have formulated the resource allocation as a class of joint optimization problems, which seek to maximize the transmission rate of the CS by jointly optimizing sensing time, harvesting time and the numbers of sensing nodes and harvesting nodes. Using the half searching method and the alternating direction optimization, we have achieved the sub-optimal solution by converting the joint optimization problem into several convex sub-optimization problems. The simulation results have indicated the predominance of the proposed energy-harvesting-based CS and CSN models.

  4. Joint Resource Allocation of Spectrum Sensing and Energy Harvesting in an Energy-Harvesting-Based Cognitive Sensor Network

    PubMed Central

    Liu, Xin; Lu, Weidang; Ye, Liang; Li, Feng; Zou, Deyue

    2017-01-01

    The cognitive sensor (CS) can transmit data to the control center in the same spectrum that is licensed to the primary user (PU) when the absence of the PU is detected by spectrum sensing. However, the battery energy of the CS is limited due to its small size, deployment in atrocious environments and long-term working. In this paper, an energy-harvesting-based CS is described, which senses the PU together with collecting the radio frequency energy to supply data transmission. In order to improve the transmission performance of the CS, we have proposed the joint resource allocation of spectrum sensing and energy harvesting in the cases of a single energy-harvesting-based CS and an energy-harvesting-based cognitive sensor network (CSN), respectively. Based on the proposed frame structure, we have formulated the resource allocation as a class of joint optimization problems, which seek to maximize the transmission rate of the CS by jointly optimizing sensing time, harvesting time and the numbers of sensing nodes and harvesting nodes. Using the half searching method and the alternating direction optimization, we have achieved the sub-optimal solution by converting the joint optimization problem into several convex sub-optimization problems. The simulation results have indicated the predominance of the proposed energy-harvesting-based CS and CSN models. PMID:28300763

  5. Administrators' Decisions about Resource Allocation

    ERIC Educational Resources Information Center

    Knight, William E.; Folkins, John W.; Hakel, Milton D.; Kennell, Richard P.

    2011-01-01

    Do academic administrators make decisions about resource allocation differently depending on the discipline receiving the funding? Does an administrator's academic identity influence these decisions? This study explored those questions with a sample of 1,690 academic administrators at doctoral-research universities. Participants used fictional…

  6. Resource Allocation: A Participatory Process.

    ERIC Educational Resources Information Center

    Reid, Alban E.

    Whether a participatory process for resource allocation in a public community college setting occurs depends upon several key factors: (1) the leadership style of the institutional chief executive officer; (2) the administrative organizational structure of the institution; (3) the relationship which exists between and among members of the various…

  7. Policy Gradient SMDP for Resource Allocation and Routing in Integrated Services Networks

    NASA Astrophysics Data System (ADS)

    Vien, Ngo Anh; Viet, Nguyen Hoang; Lee, Seunggwan; Chung, Taechoong

    In this paper, we solve the call admission control (CAC) and routing problem in an integrated network that handles several classes of calls of different values and with different resource requirements. The problem of maximizing the average reward (or cost) of admitted calls per unit time is naturally formulated as a semi-Markov Decision Process (SMDP) problem, but is too complex to allow for an exact solution. Thus in this paper, a policy gradient algorithm, together with a decomposition approach, is proposed to find the dynamic (state-dependent) optimal CAC and routing policy among a parameterized policy space. To implement that gradient algorithm, we approximate the gradient of the average reward. Then, we present a simulation-based algorithm to estimate the approximate gradient of the average reward (called GSMDP algorithm), using only a single sample path of the underlying Markov chain for the SMDP of CAC and routing problem. The algorithm enhances performance in terms of convergence speed, rejection probability, robustness to the changing arrival statistics and an overall received average revenue. The experimental simulations will compare our method's performance with other existing methods and show the robustness of our method.

  8. Relationship Reciprocation Modulates Resource Allocation in Adolescent Social Networks: Developmental Effects

    ERIC Educational Resources Information Center

    Burnett Heyes, Stephanie; Jih, Yeou-Rong; Block, Per; Hiu, Chii-Fen; Holmes, Emily A.; Lau, Jennifer Y. F.

    2015-01-01

    Adolescence is characterized as a period of social reorientation toward peer relationships, entailing the emergence of sophisticated social abilities. Two studies (Study 1: N = 42, ages 13-17; Study 2: N = 81, ages 13-16) investigated age group differences in the impact of relationship reciprocation within school-based social networks on an…

  9. Microeconomics-based resource allocation in overlay networks by using non-strategic behavior modeling

    NASA Astrophysics Data System (ADS)

    Analoui, Morteza; Rezvani, Mohammad Hossein

    2011-01-01

    Behavior modeling has recently been investigated for designing self-organizing mechanisms in the context of communication networks in order to exploit the natural selfishness of the users with the goal of maximizing the overall utility. In strategic behavior modeling, the users of the network are assumed to be game players who seek to maximize their utility with taking into account the decisions that the other players might make. The essential difference between the aforementioned researches and this work is that it incorporates the non-strategic decisions in order to design the mechanism for the overlay network. In this solution concept, the decisions that a peer might make does not affect the actions of the other peers at all. The theory of consumer-firm developed in microeconomics is a model of the non-strategic behavior that we have adopted in our research. Based on it, we have presented distributed algorithms for peers' "joining" and "leaving" operations. We have modeled the overlay network as a competitive economy in which the content provided by an origin server can be viewed as commodity and the origin server and the peers who multicast the content to their downside are considered as the firms. On the other hand, due to the dual role of the peers in the overlay network, they can be considered as the consumers as well. On joining to the overlay economy, each peer is provided with an income and tries to get hold of the service regardless to the behavior of the other peers. We have designed the scalable algorithms in such a way that the existence of equilibrium price (known as Walrasian equilibrium price) is guaranteed.

  10. Resource Allocation: Ration, Fashion, or Innovashun?

    ERIC Educational Resources Information Center

    Lourens, Roy

    1986-01-01

    Resource allocation is a key factor in promoting or retarding innovation. In a restrictive economic climate, it is easy to use resource allocation for decremental rationing and to stifle innovative thinking. The technique can also be used to ensure that the institution's human resources are encouraged to identify opportunities for innovation. (MSE)

  11. Probabilistic resource allocation system with self-adaptive capability

    NASA Technical Reports Server (NTRS)

    Yufik, Yan M. (Inventor)

    1998-01-01

    A probabilistic resource allocation system is disclosed containing a low capacity computational module (Short Term Memory or STM) and a self-organizing associative network (Long Term Memory or LTM) where nodes represent elementary resources, terminal end nodes represent goals, and weighted links represent the order of resource association in different allocation episodes. Goals and their priorities are indicated by the user, and allocation decisions are made in the STM, while candidate associations of resources are supplied by the LTM based on the association strength (reliability). Weights are automatically assigned to the network links based on the frequency and relative success of exercising those links in the previous allocation decisions. Accumulation of allocation history in the form of an associative network in the LTM reduces computational demands on subsequent allocations. For this purpose, the network automatically partitions itself into strongly associated high reliability packets, allowing fast approximate computation and display of allocation solutions satisfying the overall reliability and other user-imposed constraints. System performance improves in time due to modification of network parameters and partitioning criteria based on the performance feedback.

  12. Probabilistic resource allocation system with self-adaptive capability

    NASA Technical Reports Server (NTRS)

    Yufik, Yan M. (Inventor)

    1996-01-01

    A probabilistic resource allocation system is disclosed containing a low capacity computational module (Short Term Memory or STM) and a self-organizing associative network (Long Term Memory or LTM) where nodes represent elementary resources, terminal end nodes represent goals, and directed links represent the order of resource association in different allocation episodes. Goals and their priorities are indicated by the user, and allocation decisions are made in the STM, while candidate associations of resources are supplied by the LTM based on the association strength (reliability). Reliability values are automatically assigned to the network links based on the frequency and relative success of exercising those links in the previous allocation decisions. Accumulation of allocation history in the form of an associative network in the LTM reduces computational demands on subsequent allocations. For this purpose, the network automatically partitions itself into strongly associated high reliability packets, allowing fast approximate computation and display of allocation solutions satisfying the overall reliability and other user-imposed constraints. System performance improves in time due to modification of network parameters and partitioning criteria based on the performance feedback.

  13. Resource Allocation in Dynamic Environments

    DTIC Science & Technology

    2012-10-01

    is steerable , it has implications for the ability to share the sensor among multiple users; however, this will not be the case if a sensor is...similar to the operational scenario that Figure 1 il- lustrates. In particular, there is a steerable high-resolution camera mounted on a tower; this is...TOC and connected by a wired network to the steerable camera mounted on the mast. To focus our study on resource manage- ment, we do not address

  14. A Subcarrier-Pair Based Resource Allocation Scheme Using Proportional Fairness for Cooperative OFDM-Based Cognitive Radio Networks

    PubMed Central

    Ma, Yongtao; Zhou, Liuji; Liu, Kaihua

    2013-01-01

    The paper presents a joint subcarrier-pair based resource allocation algorithm in order to improve the efficiency and fairness of cooperative multiuser orthogonal frequency division multiplexing (MU-OFDM) cognitive radio (CR) systems. A communication model where one source node communicates with one destination node assisted by one half-duplex decode-and-forward (DF) relay is considered in the paper. An interference-limited environment is considered, with the constraint of transmitted sum-power over all channels and aggregate average interference towards multiple primary users (PUs). The proposed resource allocation algorithm is capable of maximizing both the system transmission efficiency and fairness among secondary users (SUs). Besides, the proposed algorithm can also keep the interference introduced to the PU bands below a threshold. A proportional fairness constraint is used to assure that each SU can achieve a required data rate, with quality of service guarantees. Moreover, we extend the analysis to the scenario where each cooperative SU has no channel state information (CSI) about non-adjacent links. We analyzed the throughput and fairness tradeoff in CR system. A detailed analysis of the performance of the proposed algorithm is presented with the simulation results. PMID:23939586

  15. Resource Allocation in High Schools. Final Report.

    ERIC Educational Resources Information Center

    Hartman, William T.

    This study investigated the resource allocation process--how school administrators obtain the proper resources to operate their schools, distribute the available resources among the various school programs appropriately, and manage resources for effective educational results--in four high schools during the 1984-85 school year. Information was…

  16. Allocation of Scarce Resources: Some Problems

    PubMed Central

    Secundy, Marian G.

    1981-01-01

    This paper presents an overview of current philosophical perspectives and societal trends in relation to allocation of scarce resources. An analysis and comparative assessment of various positions of current philosophers, theologians, and bioethicists is provided. Currently proposed cost containment measures at the federal level require that black health professionals particularly pay attention to these proposals specifically as related to allocation of resources. The ways in which cost containment and/ or modification of resource allocation will affect health care delivery, specifically for the black community, must be carefully examined. This article may suggest some approaches for individual and group response to the continuing dialogue and to the allocation process itself. The equitable distribution of health care, particularly scarce new technologies, will be one of the greatest problems facing society in the next 20 years. PMID:7265284

  17. Healthcare resource allocation decisions affecting uninsured services

    PubMed Central

    Harrison, Krista Lyn; Taylor, Holly A.

    2017-01-01

    Purpose Using the example of community access programs (CAPs), the purpose of this paper is to describe resource allocation and policy decisions related to providing health services for the uninsured in the USA and the organizational values affecting these decisions. Design/methodology/approach The study used comparative case study methodology at two geographically diverse sites. Researchers collected data from program documents, meeting observations, and interviews with program stakeholders. Findings Five resource allocation or policy decisions relevant to providing healthcare services were described at each site across three categories: designing the health plan, reacting to funding changes, and revising policies. Organizational values of access to care and stewardship most frequently affected resource allocation and policy decisions, while economic and political pressures affect the relative prioritization of values. Research limitations/implications Small sample size, the potential for social desirability or recall bias, and the exclusion of provider, member or community perspectives beyond those represented among participating board members. Practical implications Program directors or researchers can use this study to assess the extent to which resource allocation and policy decisions align with organizational values and mission statements. Social implications The description of how healthcare decisions are actually made can be matched with literature that describes how healthcare resource decisions ought to be made, in order to provide a normative grounding for future decisions. Originality/value This study addresses a gap in literature regarding how CAPs actually make resource allocation decisions that affect access to healthcare services. PMID:27934550

  18. Resource allocation for efficient environmental management.

    PubMed

    McCarthy, Michael A; Thompson, Colin J; Hauser, Cindy; Burgman, Mark A; Possingham, Hugh P; Moir, Melinda L; Tiensin, Thanawat; Gilbert, Marius

    2010-10-01

    Environmental managers must decide how to invest available resources. Researchers have previously determined how to allocate conservation resources among regions, design nature reserves, allocate funding to species conservation programs, design biodiversity surveys and monitoring programs, manage species and invest in greenhouse gas mitigation schemes. However, these issues have not been addressed with a unified theory. Furthermore, uncertainty is prevalent in environmental management, and needs to be considered to manage risks. We present a theory for optimal environmental management, synthesizing previous approaches to the topic and incorporating uncertainty. We show that the theory solves a diverse range of important problems of resource allocation, including distributing conservation resources among the world's biodiversity hotspots; surveillance to detect the highly pathogenic avian influenza H5N1 virus in Thailand; and choosing survey methods for the insect order Hemiptera. Environmental management decisions are similar to decisions about financial investments, with trade-offs between risk and reward.

  19. Scientific Allocation of Water Resources.

    ERIC Educational Resources Information Center

    Buras, Nathan

    Oriented for higher education students, researchers, practicing engineers and planners, this book surveys the state of the art of water resources engineering. A broad spectrum of issues is embraced in the treatment of water resources: quantity aspects as well as quality aspects within a systems approach. Using a rational mode for water resources…

  20. Resource Allocation Planning Helper (RALPH): Lessons learned

    NASA Technical Reports Server (NTRS)

    Durham, Ralph; Reilly, Norman B.; Springer, Joe B.

    1990-01-01

    The current task of Resource Allocation Process includes the planning and apportionment of JPL's Ground Data System composed of the Deep Space Network and Mission Control and Computing Center facilities. The addition of the data driven, rule based planning system, RALPH, has expanded the planning horizon from 8 weeks to 10 years and has resulted in large labor savings. Use of the system has also resulted in important improvements in science return through enhanced resource utilization. In addition, RALPH has been instrumental in supporting rapid turn around for an increased volume of special what if studies. The status of RALPH is briefly reviewed and important lessons learned from the creation of an highly functional design team are focused on through an evolutionary design and implementation period in which an AI shell was selected, prototyped, and ultimately abandoned, and through the fundamental changes to the very process that spawned the tool kit. Principal topics include proper integration of software tools within the planning environment, transition from prototype to delivered to delivered software, changes in the planning methodology as a result of evolving software capabilities and creation of the ability to develop and process generic requirements to allow planning flexibility.

  1. Optimality versus stability in water resource allocation.

    PubMed

    Read, Laura; Madani, Kaveh; Inanloo, Bahareh

    2014-01-15

    Water allocation is a growing concern in a developing world where limited resources like fresh water are in greater demand by more parties. Negotiations over allocations often involve multiple groups with disparate social, economic, and political status and needs, who are seeking a management solution for a wide range of demands. Optimization techniques for identifying the Pareto-optimal (social planner solution) to multi-criteria multi-participant problems are commonly implemented, although often reaching agreement for this solution is difficult. In negotiations with multiple-decision makers, parties who base decisions on individual rationality may find the social planner solution to be unfair, thus creating a need to evaluate the willingness to cooperate and practicality of a cooperative allocation solution, i.e., the solution's stability. This paper suggests seeking solutions for multi-participant resource allocation problems through an economics-based power index allocation method. This method can inform on allocation schemes that quantify a party's willingness to participate in a negotiation rather than opt for no agreement. Through comparison of the suggested method with a range of distance-based multi-criteria decision making rules, namely, least squares, MAXIMIN, MINIMAX, and compromise programming, this paper shows that optimality and stability can produce different allocation solutions. The mismatch between the socially-optimal alternative and the most stable alternative can potentially result in parties leaving the negotiation as they may be too dissatisfied with their resource share. This finding has important policy implications as it justifies why stakeholders may not accept the socially optimal solution in practice, and underlies the necessity of considering stability where it may be more appropriate to give up an unstable Pareto-optimal solution for an inferior stable one. Authors suggest assessing the stability of an allocation solution as an

  2. Resource Allocation in Cerebral Specialization.

    DTIC Science & Technology

    1980-01-01

    of this multiple-resources view. EXTENSION OF THE THEORY TO THE TWO CEREBRAL HEMISPHERES Since the anatomical division of the brain invites...performance differences between the hemispheres (e.g., right-handed males with no familial history of left- handedness who use a normal rather than an...G. Beaumont (Eds.), Hemisphere function in the human rain.. New York: Halstead Press, 1974. Kinsbourne, M. The cerebral basis of lateral asymmetries

  3. Competing Principles for Allocating Health Care Resources.

    PubMed

    Carter, Drew; Gordon, Jason; Watt, Amber M

    2016-10-01

    We clarify options for conceptualizing equity, or what we refer to as justice, in resource allocation. We do this by systematically differentiating, expounding, and then illustrating eight different substantive principles of justice. In doing this, we compare different meanings that can be attributed to "need" and "the capacity to benefit" (CTB). Our comparison is sharpened by two analytical tools. First, quantification helps to clarify the divergent consequences of allocations commended by competing principles. Second, a diagrammatic approach developed by economists Culyer and Wagstaff offers a visual and conceptual aid. Of the eight principles we illustrate, only two treat as relevant both a person's initial health state and a person's CTB per resource unit expended: (1) allocate resources so as to most closely equalize final health states and (2) allocate resources so as to equally restore health states to population norms. These allocative principles ought to be preferred to the alternatives if one deems relevant both a person's initial health state and a person's CTB per resource unit expended. Finally, we examine some possibilities for conceptualizing benefits as relative to how badly off someone is, extending Parfit's thought on Prioritarianism (a prioritizing of the worst off). Questions arise as to how much intervention effects accruing to the worse off count for more and how this changes with improving health. We explicate some recent efforts to answer these questions, including in Dutch and British government circles. These efforts can be viewed as efforts to operationalize need as an allocative principle. Each effort seeks to maximize in the aggregate quanta of effect that are differentially valued in favor of the worst off. In this respect, each effort constitutes one type of Prioritarianism, which Parfit failed to differentiate from other types.

  4. Rumination and Impaired Resource Allocation in Depression

    PubMed Central

    Levens, Sara M.; Muhtadie, Luma; Gotlib, Ian H.

    2010-01-01

    Depression is characterized by a range of cognitive deficits that theorists posit are due to the resource capturing properties of rumination. The present study was designed to examine the relation between rumination and resource allocation in depression. Twenty-five depressed and 25 nondepressed participants completed a modified dual-task version of the recency-probes task, which assesses the controlled allocation of cognitive resources by comparing performance across low- and high-interference conditions. In low-interference conditions, participants performed either the recency-probes task or a tracking task, which required participants to track specific stimuli across trials (i.e., no dual-task interference). In the high-interference condition, participants performed both the recency-probes task and the tracking task, which required the controlled allocation of resources to resolve dual-task interference. Depressed participants performed significantly worse than did their nondepressed counterparts in only the high-interference condition; performance of the 2 groups was comparable in the low-interference conditions. Furthermore, the degree to which depressed participants were impaired in the high-interference condition was correlated .74 with rumination. These findings suggest that an association between rumination and impairments in resource allocation underlies the cognitive difficulties experienced by depressed individuals. PMID:19899845

  5. Biomass Resource Allocation among Competing End Uses

    SciTech Connect

    Newes, E.; Bush, B.; Inman, D.; Lin, Y.; Mai, T.; Martinez, A.; Mulcahy, D.; Short, W.; Simpkins, T.; Uriarte, C.; Peck, C.

    2012-05-01

    The Biomass Scenario Model (BSM) is a system dynamics model developed by the U.S. Department of Energy as a tool to better understand the interaction of complex policies and their potential effects on the biofuels industry in the United States. However, it does not currently have the capability to account for allocation of biomass resources among the various end uses, which limits its utilization in analysis of policies that target biomass uses outside the biofuels industry. This report provides a more holistic understanding of the dynamics surrounding the allocation of biomass among uses that include traditional use, wood pellet exports, bio-based products and bioproducts, biopower, and biofuels by (1) highlighting the methods used in existing models' treatments of competition for biomass resources; (2) identifying coverage and gaps in industry data regarding the competing end uses; and (3) exploring options for developing models of biomass allocation that could be integrated with the BSM to actively exchange and incorporate relevant information.

  6. Resource Allocation Patterns and Student Achievement

    ERIC Educational Resources Information Center

    James, Lori; Pate, James; Leech, Donald; Martin, Ellice; Brockmeier, Lantry; Dees, Elizabeth

    2011-01-01

    This quantitative research study was designed to examine the relationship between system resource allocation patterns and student achievement, as measured by eighth grade Criterion-Referenced Competency Test (CRCT) mathematics, eighth grade CRCT reading, eleventh grade Georgia High School Graduation Test (GHSGT) mathematics, eleventh grade and…

  7. The Allocation of Resources in a University

    ERIC Educational Resources Information Center

    Koch, James V.

    1974-01-01

    The paper describes a linear programming model which generates explicit quantitative information about (1) the optimal allocation of resources inside the public university (2) the "shadow price" attached to each input used in the academic process; and (3) the optimal mixture of academic outputs produced by the university. (KM)

  8. Continuity Aware Spectrum Allocation Schemes for Virtual Optical Network Embedding in Elastic Optical Networks

    NASA Astrophysics Data System (ADS)

    Wang, Wei; Zhao, Yongli; He, Ruiying; Yu, Xiaosong; Zhang, Jie; Zheng, Haomian; Lin, Yi; Han, Jianrui

    2016-05-01

    Optical network virtualization has been studied as a promising technique for optical network resources provisioning. In the virtualization context of Elastic Optical Network (EON), Virtual Optical Network Embedding (VONE) is investigated as a key issue for allocating spectrum resources to VON requests. This paper discusses the continuity constraint for the VONE problem in EONs, and presents three continuity-aware spectrum allocation schemes according to strict and relaxed continuity constraints. We have demonstrated the proposed schemes on emulated testbed to verify the feasibility of composing VON with discontiguous spectrum resources. Additionally, the performances of the proposed schemes are compared via simulation in terms of blocking probability, spectrum resource utilization and discontinuity degree.

  9. Dynamic Resource Allocation in Conservation Planning

    DTIC Science & Technology

    2011-08-01

    Dynamic Resource Allocation in Conservation Planning Daniel Golovin Caltech Pasadena, CA, USA Andreas Krause ETH Zürich Zurich, Switzerland Beth...to adaptive policies ( Golovin and Krause 2010). We omit details due to space limita- tions. 1335 using the independent cascade model of Goldenberg... Golovin and Krause [2010]. However, their approach is not known to provide competitiveness guarantees such as those of Theo- rem 2, where the set of

  10. Resource allocation equity in northeastern Mexico.

    PubMed

    Rocha, Georgina Mayela Núñez; Martínez, Ana María Salinas; Ríos, Enrique Villarreal; Elizondo, Ma Eugenia Garza

    2004-12-01

    Currently, the population health needs are unlimited, but allocation of financial resources is not in accordance with these needs, probably due to the lack of specific information. In this work, we propose a new approach to allocate resources with equity as a tool for decision-making in planning. The grade of equity in resource allocation in decentralized management medical areas (DMMAs (AMGD, for its initials in Spanish)) was determined; these are limited geographical areas of a social security institution in three states of the northeastern region of Mexico. The areas with more health needs in the global index were DMMA no. 12 in Tamaulipas with a Z-score (ZS) of -5; area no. 3 in Coahuila with -4; and area no. 9 in Nuevo Leon, no. 16 and no. 17 in Tamaulipas with -2. Equity was measured according to the degree of concordance between the health needs index and the per capita health expenditure of each area: (r = 0.19, P > 0.05). Low concordance was found between these variables in the studied medical areas.

  11. Combat Resource Allocation Planning in Naval Engagements

    DTIC Science & Technology

    2007-08-01

    Valcartier; August 2007. Management of tactical combat resources, as a part of military naval Command & Con- trol (C2) process , provides a real world multi...systèmes d’agents et multi-agents est présentée et les problèmes de planifi - cation en temps réel et de l’allocation des ressources sont abordés...data to be processed under time-critical conditions pose significant challenges for future shipboard Command & Control Systems (CCSs). Among other

  12. Community-aware task allocation for social networked multiagent systems.

    PubMed

    Wang, Wanyuan; Jiang, Yichuan

    2014-09-01

    In this paper, we propose a novel community-aware task allocation model for social networked multiagent systems (SN-MASs), where the agent' cooperation domain is constrained in community and each agent can negotiate only with its intracommunity member agents. Under such community-aware scenarios, we prove that it remains NP-hard to maximize system overall profit. To solve this problem effectively, we present a heuristic algorithm that is composed of three phases: 1) task selection: select the desirable task to be allocated preferentially; 2) allocation to community: allocate the selected task to communities based on a significant task-first heuristics; and 3) allocation to agent: negotiate resources for the selected task based on a nonoverlap agent-first and breadth-first resource negotiation mechanism. Through the theoretical analyses and experiments, the advantages of our presented heuristic algorithm and community-aware task allocation model are validated. 1) Our presented heuristic algorithm performs very closely to the benchmark exponential brute-force optimal algorithm and the network flow-based greedy algorithm in terms of system overall profit in small-scale applications. Moreover, in the large-scale applications, the presented heuristic algorithm achieves approximately the same overall system profit, but significantly reduces the computational load compared with the greedy algorithm. 2) Our presented community-aware task allocation model reduces the system communication cost compared with the previous global-aware task allocation model and improves the system overall profit greatly compared with the previous local neighbor-aware task allocation model.

  13. Vaccines: from valuation to resource allocation.

    PubMed

    Bloom, David E; Madhavan, Guruprasad

    2015-06-08

    This review focuses on selected challenges and opportunities concerning broader valuation of vaccines and immunization. The challenges involve conceptualizing and measuring the value of vaccines, while the opportunities relate to the strategic and systematic use of that information in health policy decisions that range from the adoption of particular vaccines in national immunization plans to the allocation of resources to vaccine research, development, and delivery. Clarifying the demonstrable individual, family, and community-level benefits of vaccines will allow the public health community to make better-informed and more meaningful comparisons of the costs of vaccines in relation to their full benefits. Taking advantage of this opportunity will require enhanced data collection and the development of strategic planning tools for transparently assessing trade-offs among the myriad attributes of different vaccines in various social and economic contexts.

  14. Cognitive radio based optimal channel sensing and resources allocation

    NASA Astrophysics Data System (ADS)

    Vijayasarveswari, V.; Khatun, S.; Fakir, M. M.; Nayeem, M. N.; Kamarudin, L. M.; Jakaria, A.

    2017-03-01

    Cognitive radio (CR) is the latest type of wireless technoloy that is proposed to mitigate spectrum saturation problem. İn cognitve radio, secondary user will use primary user's spectrum during primary user's absence without interupting primary user's transmission. This paper focuses on practical cognitive radio network development process using Android based smart phone for the data transmission. Energy detector based sensing method was proposed and used here because it doesnot require primary user's information. Bluetooth and Wi-fi are the two available types of spectrum that was sensed for CR detection. Simulation showed cognitive radio network can be developed using Android based smart phones. So, a complete application was developed using Java based Android Eclipse program. Finally, the application was uploaded and run on Android based smart phone to form and verify CR network for channel sensing and resource allocation. The observed efficiency of the application was around 81%.

  15. Resource allocation planning with international components

    NASA Technical Reports Server (NTRS)

    Burke, Gene; Durham, Ralph; Leppla, Frank; Porter, David

    1993-01-01

    Dumas, Briggs, Reid and Smith (1989) describe the need for identifying mutually acceptable methodologies for developing standard agreements for the exchange of tracking time or facility use among international components. One possible starting point is the current process used at the Jet Propulsion Laboratory (JPL) in planning the use of tracking resources. While there is a significant promise of better resource utilization by international cooperative agreements, there is a serious challenge to provide convenient user participation given the separate project and network locations. Coordination among users and facility providers will require a more decentralized communication process and a wider variety of automated planning tools to help users find potential exchanges. This paper provides a framework in which international cooperation in the utilization of ground based space communication systems can be facilitated.

  16. Immune response from a resource allocation perspective

    PubMed Central

    Rauw, Wendy M.

    2012-01-01

    The immune system is a life history trait that can be expected to trade off against other life history traits. Whether or not a trait is considered to be a life history trait has consequences for the expectation on how it responds to natural selection and evolution; in addition, it may have consequences for the outcome of artificial selection when it is included in the breeding objective. The immune system involved in pathogen resistance comprises multiple mechanisms that define a host's defensive capacity. Immune resistance involves employing mechanisms that either prevent pathogens from invading or eliminate the pathogens when they do invade. On the other hand, tolerance involves limiting the damage that is caused by the infection. Both tolerance and resistance traits require (re)allocation of resources and carry physiological costs. Examples of trade-offs between immune function and growth, reproduction and stress response are provided in this review, in addition to consequences of selection for increased production on immune function and vice versa. Reaction norms are used to deal with questions of immune resistance vs. tolerance to pathogens that relate host health to infection intensity. In essence, selection for immune tolerance in livestock is a particular case of selection for animal robustness. Since breeding goals that include robustness traits are required in the implementation of more sustainable agricultural production systems, it is of interest to investigate whether immune tolerance is a robustness trait that is positively correlated with overall animal robustness. Considerably more research is needed to estimate the shapes of the cost functions of different immune strategies, and investigate trade-offs and cross-over benefits of selection for disease resistance and/or disease tolerance in livestock production. PMID:23413205

  17. Important Factors For Resource Allocation In Applied Research And Development

    NASA Astrophysics Data System (ADS)

    Kotte, E. U.

    1989-01-01

    Competitiveness of modern societies requires optimum allocation of capital, qualified workforce and organizational infrastructure with the connecting link determined by information technology. Human resources of the scientific and technical community can compensate limited resources of other types supported by enhanced information promotion mechanisms in applied research and development. Descriptive features of the problem dimensions are given as a frame of reference, and important factors are reviewed for possible consideration in the fields of technology policy, resource allocation methods and management practices.

  18. Rate Adaptive Based Resource Allocation with Proportional Fairness Constraints in OFDMA Systems.

    PubMed

    Yin, Zhendong; Zhuang, Shufeng; Wu, Zhilu; Ma, Bo

    2015-09-25

    Orthogonal frequency division multiple access (OFDMA), which is widely used in the wireless sensor networks, allows different users to obtain different subcarriers according to their subchannel gains. Therefore, how to assign subcarriers and power to different users to achieve a high system sum rate is an important research area in OFDMA systems. In this paper, the focus of study is on the rate adaptive (RA) based resource allocation with proportional fairness constraints. Since the resource allocation is a NP-hard and non-convex optimization problem, a new efficient resource allocation algorithm ACO-SPA is proposed, which combines ant colony optimization (ACO) and suboptimal power allocation (SPA). To reduce the computational complexity, the optimization problem of resource allocation in OFDMA systems is separated into two steps. For the first one, the ant colony optimization algorithm is performed to solve the subcarrier allocation. Then, the suboptimal power allocation algorithm is developed with strict proportional fairness, and the algorithm is based on the principle that the sums of power and the reciprocal of channel-to-noise ratio for each user in different subchannels are equal. To support it, plenty of simulation results are presented. In contrast with root-finding and linear methods, the proposed method provides better performance in solving the proportional resource allocation problem in OFDMA systems.

  19. Rate Adaptive Based Resource Allocation with Proportional Fairness Constraints in OFDMA Systems

    PubMed Central

    Yin, Zhendong; Zhuang, Shufeng; Wu, Zhilu; Ma, Bo

    2015-01-01

    Orthogonal frequency division multiple access (OFDMA), which is widely used in the wireless sensor networks, allows different users to obtain different subcarriers according to their subchannel gains. Therefore, how to assign subcarriers and power to different users to achieve a high system sum rate is an important research area in OFDMA systems. In this paper, the focus of study is on the rate adaptive (RA) based resource allocation with proportional fairness constraints. Since the resource allocation is a NP-hard and non-convex optimization problem, a new efficient resource allocation algorithm ACO-SPA is proposed, which combines ant colony optimization (ACO) and suboptimal power allocation (SPA). To reduce the computational complexity, the optimization problem of resource allocation in OFDMA systems is separated into two steps. For the first one, the ant colony optimization algorithm is performed to solve the subcarrier allocation. Then, the suboptimal power allocation algorithm is developed with strict proportional fairness, and the algorithm is based on the principle that the sums of power and the reciprocal of channel-to-noise ratio for each user in different subchannels are equal. To support it, plenty of simulation results are presented. In contrast with root-finding and linear methods, the proposed method provides better performance in solving the proportional resource allocation problem in OFDMA systems. PMID:26426016

  20. A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

    SciTech Connect

    Hameed, Abdul; Khoshkbarforoushha, Alireza; Ranjan, Rajiv; Jayaraman, Prem Prakash; Kolodziej, Joanna; Balaji, Pavan; Zeadally, Sherali; Malluhi, Qutaibah Marwan; Tziritas, Nikos; Vishnu, Abhinav; Khan, Samee U.; Zomaya, Albert

    2014-06-06

    In a cloud computing paradigm, energy efficient allocation of different virtualized ICT resources (servers, storage disks, and networks, and the like) is a complex problem due to the presence of heterogeneous application (e.g., content delivery networks, MapReduce, web applications, and the like) workloads having contentious allocation requirements in terms of ICT resource capacities (e.g., network bandwidth, processing speed, response time, etc.). Several recent papers have tried to address the issue of improving energy efficiency in allocating cloud resources to applications with varying degree of success. However, to the best of our knowledge there is no published literature on this subject that clearly articulates the research problem and provides research taxonomy for succinct classification of existing techniques. Hence, the main aim of this paper is to identify open challenges associated with energy efficient resource allocation. In this regard, the study, first, outlines the problem and existing hardware and software-based techniques available for this purpose. Furthermore, available techniques already presented in the literature are summarized based on the energy-efficient research dimension taxonomy. The advantages and disadvantages of the existing techniques are comprehensively analyzed against the proposed research dimension taxonomy namely: resource adaption policy, objective function, allocation method, allocation operation, and interoperability.

  1. A review of alternative approaches to healthcare resource allocation.

    PubMed

    Petrou, S; Wolstenholme, J

    2000-07-01

    The resources available for healthcare are limited compared with demand, if not need, and all healthcare systems, regardless of their financing and organisation, employ mechanisms to ration or prioritise finite healthcare resources. This paper reviews alternative approaches that can be used to allocate healthcare resources. It discusses the problems encountered when allocating healthcare resources according to free market principles. It then proceeds to discuss the advantages and disadvantages of alternative resource allocation approaches that can be applied to public health systems. These include: (i) approaches based on the concept of meeting the needs of the population to maximising its capacity to benefit from interventions; (ii) economic approaches that identify the most efficient allocation of resources with the view of maximising health benefits or other measures of social welfare; (iii) approaches that seek to ration healthcare by age; and (iv) approaches that resolve resource allocation disputes through debate and bargaining. At present, there appears to be no consensus about the relative importance of the potentially conflicting principles that can be used to guide resource allocation decisions. It is concluded that whatever shape tomorrow's health service takes, the requirement to make equitable and efficient use of finite healthcare resources will remain.

  2. [A model for resource allocation in primary health care].

    PubMed

    Raña K, Javier; Ferrer O, Juan-Carlos; Bedregal G, Paula

    2007-01-01

    Resource allocation in primary health care is a worldwide issue. In Chile, the state allocates resources to city halls using a mechanism called "per capita". However, each city hall distributes these resources according to the historical expenses of each health center. None of these methods considers the epidemiological and demographic differences in demand. This article proposes a model that allocates resources to health centers in an equitable, efficient and transparent fashion. The model incorporates two types of activities; those that are programmable, whose demand is generated by medical teams and those associated to morbidity, generated by patients. In the first case the health promotion, prevention and control activities are programmed according to the goals proposed by health authorities. In the second case, the utilization rates are calculated for different sociodemographic groups. This model was applied in one of the most populated communities of Metropolitan Santiago and proved to increase efficiency and transparency in resource allocation.

  3. Scarcity, Conflict, and Equity in Allocating Public Recreation Resources.

    ERIC Educational Resources Information Center

    Shelby, Bo; Danley, Mark

    The conflict between the interests of commercial outfitters and private boaters in the use of whitewater rivers is examined. A discussion is presented on the literature on scarcity, allocation, and conflict among groups. These concepts are applied to the allocation of public resources on whitewater rivers. The conflicting interest groups are…

  4. On the Allocation of Resources for Secondary Schools

    ERIC Educational Resources Information Center

    Haelermans, Carla; De Witte, Kristof; Blank, Jos L. T.

    2012-01-01

    This paper studies the optimal allocation of resources--in terms of school management, teachers, supporting employees and materials--in secondary schools. We use a flexible budget constrained output distance function model to estimate both technical and allocative efficiency scores for 448 Dutch secondary schools between 2002 and 2007. The results…

  5. Dynamic computing resource allocation in online flood monitoring and prediction

    NASA Astrophysics Data System (ADS)

    Kuchar, S.; Podhoranyi, M.; Vavrik, R.; Portero, A.

    2016-08-01

    This paper presents tools and methodologies for dynamic allocation of high performance computing resources during operation of the Floreon+ online flood monitoring and prediction system. The resource allocation is done throughout the execution of supported simulations to meet the required service quality levels for system operation. It also ensures flexible reactions to changing weather and flood situations, as it is not economically feasible to operate online flood monitoring systems in the full performance mode during non-flood seasons. Different service quality levels are therefore described for different flooding scenarios, and the runtime manager controls them by allocating only minimal resources currently expected to meet the deadlines. Finally, an experiment covering all presented aspects of computing resource allocation in rainfall-runoff and Monte Carlo uncertainty simulation is performed for the area of the Moravian-Silesian region in the Czech Republic.

  6. Resource Allocation Procedure at Queensland University: A Dynamic Modelling Project.

    ERIC Educational Resources Information Center

    Galbraith, Peter L.; Carss, Brian W.

    A structural reorganization of the University of Queensland, Australia, was undertaken to promote efficient resource management, and a resource allocation model was developed to aid in policy evaluation and planning. The operation of the restructured system was based on creating five resource groups to manage the distribution of academic resources…

  7. Network channel allocation and revenue maximization

    NASA Astrophysics Data System (ADS)

    Hamalainen, Timo; Joutsensalo, Jyrki

    2002-09-01

    This paper introduces a model that can be used to share link capacity among customers under different kind of traffic conditions. This model is suitable for different kind of networks like the 4G networks (fast wireless access to wired network) to support connections of given duration that requires a certain quality of service. We study different types of network traffic mixed in a same communication link. A single link is considered as a bottleneck and the goal is to find customer traffic profiles that maximizes the revenue of the link. Presented allocation system accepts every calls and there is not absolute blocking, but the offered data rate/user depends on the network load. Data arrival rate depends on the current link utilization, user's payment (selected CoS class) and delay. The arrival rate is (i) increasing with respect to the offered data rate, (ii) decreasing with respect to the price, (iii) decreasing with respect to the network load, and (iv) decreasing with respect to the delay. As an example, explicit formula obeying these conditions is given and analyzed.

  8. Partitioning of resources: the evolutionary genetics of sexual conflict over resource acquisition and allocation.

    PubMed

    Zajitschek, F; Connallon, T

    2017-04-01

    Fitness depends on both the resources that individuals acquire and the allocation of those resources to traits that influence survival and reproduction. Optimal resource allocation differs between females and males as a consequence of their fundamentally different reproductive strategies. However, because most traits have a common genetic basis between the sexes, conflicting selection between the sexes over resource allocation can constrain the evolution of optimal allocation within each sex, and generate trade-offs for fitness between them (i.e. 'sexual antagonism' or 'intralocus sexual conflict'). The theory of resource acquisition and allocation provides an influential framework for linking genetic variation in acquisition and allocation to empirical evidence of trade-offs between distinct life-history traits. However, these models have not considered the emergence of trade-offs within the context of sexual dimorphism, where they are expected to be particularly common. Here, we extend acquisition-allocation theory and develop a quantitative genetic framework for predicting genetically based trade-offs between life-history traits within sexes and between female and male fitness. Our models demonstrate that empirically measurable evidence of sexually antagonistic fitness variation should depend upon three interacting factors that may vary between populations: (1) the genetic variances and between-sex covariances for resource acquisition and allocation traits, (2) condition-dependent expression of resource allocation traits and (3) sex differences in selection on the allocation of resource to different fitness components.

  9. Resource Allocation Strategies in Doctoral/Research University (Extensive) Libraries

    ERIC Educational Resources Information Center

    Blake Gonzalez, Barbara

    2011-01-01

    The purpose of this study was to identify and understand the management of resources by library directors at 151 Public and Private Carnegie classified extensive university libraries in an environment of limited funding for higher education. This study examined the following research questions: 1. What resource allocation strategies are used by…

  10. The Role of Research and Analysis in Resource Allocation Decisions

    ERIC Educational Resources Information Center

    Lea, Dennis; Polster, Patty Poppe

    2011-01-01

    In a time of diminishing resources and increased accountability, it is important for school leaders to make the most of every dollar they spend. One approach to ensuring responsible resource allocation is to closely examine the organizational culture surrounding decision making and provide a structure and process to incorporate research and data…

  11. Resource allocation and compensation during development in holometabolous insects.

    PubMed

    Nestel, David; Papadopoulos, Nikos T; Pascacio-Villafán, Carlos; Righini, Nicoletta; Altuzar-Molina, Alma R; Aluja, Martín

    2016-12-01

    We provide an extensive review on current knowledge and future research paths on the topic of resource allocation and compensation during development in holometabolous insects, emphasizing the role of resource management during development, and how compensatory mechanisms may be acting to remediate nutritional deficiencies carried over from earlier stages of development. We first review resource allocation in "open" and "closed" developmental stages and then move on to the topic of modelling resource allocation and its trade-offs. In doing so, we review novel methodological developments such as response-surface methods and mixture experiments as well as nutritional geometry. We also dwell on the fascinating topic of compensatory physiology and behavior. We finish by discussing future research paths, among them the emerging field of nutrigenomics and gut microbiome, which will shed light into the yet poorly understood role of the symbiotic microbiota in nutrient compensation or assimilation.

  12. Resource allocation to reproduction in animals.

    PubMed

    Kooijman, Sebastiaan A L M; Lika, Konstadia

    2014-11-01

    The standard Dynamic Energy Budget (DEB) model assumes that a fraction κ of mobilised reserve is allocated to somatic maintenance plus growth, while the rest is allocated to maturity maintenance plus maturation (in embryos and juveniles) or reproduction (in adults). All DEB parameters have been estimated for 276 animal species from most large phyla and all chordate classes. The goodness of fit is generally excellent. We compared the estimated values of κ with those that would maximise reproduction in fully grown adults with abundant food. Only 13% of these species show a reproduction rate close to the maximum possible (assuming that κ can be controlled), another 4% have κ lower than the optimal value, and 83% have κ higher than the optimal value. Strong empirical support hence exists for the conclusion that reproduction is generally not maximised. We also compared the parameters of the wild chicken with those of races selected for meat and egg production and found that the latter indeed maximise reproduction in terms of κ, while surface-specific assimilation was not affected by selection. We suggest that small values of κ relate to the down-regulation of maximum body size, and large values to the down-regulation of reproduction. We briefly discuss the ecological context for these findings.

  13. Health Resources Priority and Allocations System (HRPAS). Interim final rule.

    PubMed

    2015-07-17

    This interim final rule establishes standards and procedures by which the U.S. Department of Health and Human Services (HHS) may require that certain contracts or orders that promote the national defense be given priority over other contracts or orders. This rule also sets new standards and procedures by which HHS may allocate materials, services, and facilities to promote the national defense. This rule will implement HHS's administration of priorities and allocations actions, and establish the Health Resources Priorities and Allocation System (HRPAS). The HRPAS will cover health resources pursuant to the authority under Section 101(c) of the Defense Production Act as delegated to HHS by Executive Order 13603. Priorities authorities (and other authorities delegated to the Secretary in E.O. 13603, but not covered by this regulation) may be re-delegated by the Secretary. The Secretary retains the authority for allocations.

  14. Resource-dependent sex-allocation in a simultaneous hermaphrodite.

    PubMed

    Vizoso, D B; Schärer, L

    2007-05-01

    Most sex allocation theory is based on the relationship between the resource investment into male and female reproduction and the consequent fitness returns (often called fitness-gain curves). Here we investigate the effects of resource availability on the sex allocation of a simultaneously hermaphroditic animal, the free-living flatworm Macrostomum lignano. We kept the worms under different resource levels and determined the size of their testes and ovaries over a period of time. At higher resource levels, worms allocated relatively more into the female function, suggesting a saturating male fitness-gain curve for this species. A large part of the observed effect was due to a correlated increase in body size, showing size-dependent sex allocation in M. lignano. However, a significant part of the overall effect was independent of body size, and therefore likely due to the differences in resource availability. Moreover, in accordance with a saturating male fitness-gain curve, the worms developed the male gonads first. As the group size was kept constant, our results contrast with expectations from sex allocation models that deal with local mate competition alone, and with previous experiments that test these models.

  15. Waste management: how reducing partiality can promote efficient resource allocation.

    PubMed

    Choshen-Hillel, Shoham; Shaw, Alex; Caruso, Eugene M

    2015-08-01

    Two central principles that guide resource-allocation decisions are equity (providing equal pay for equal work) and efficiency (not wasting resources). When these two principles conflict with one another, people will often waste resources to avoid inequity. We suggest that people wish to avoid inequity not because they find it inherently unfair, but because they want to avoid the appearance of partiality associated with it. We explore one way to reduce waste by reducing the perceived partiality of inequitable allocations. Specifically, we hypothesize that people will be more likely to favor an efficient (albeit inequitable) allocation if it puts them in a disadvantaged position than if it puts others in a disadvantaged position. To test this hypothesis, we asked participants to choose between giving some extra resource to one person (thereby creating inequity between this person and equally deserving others) and not giving the resource to anyone (thereby wasting the resource). Six studies, using realistic scenarios and behavioral paradigms, provide robust evidence for a self-disadvantaging effect: Allocators were consistently more likely to create inequity to avoid wasting resources when the resulting inequity would put them at a relative disadvantage than when it would put others at a relative disadvantage. We further find that this self-disadvantaging effect is a direct result of people's concern about appearing partial. Our findings suggest the importance of impartiality even in distributive justice, thereby bridging a gap between the distributive and procedural justice literatures.

  16. The allocation of aquifer resources in Scotland

    NASA Astrophysics Data System (ADS)

    Robins, N. S.

    1987-02-01

    The traditional role of aquifers for groundwater supply may not be appropriate in some areas of Scotland where high rainfall, low evapotranspiration, and abundant upland catchments and storage areas yield more than adequate surface water supplies. Some groundwater will always be required to satisfy specific needs but much aquifer potential will remain untapped. It is suggested that some of this potential could usefully be allocated to the disposal of wastes including oiled beach material, or the storage of heat or fluids, any of which could contaminate the aquifer. Care will be required to ensure that surface waters and other amenities are not put at risk. Resolution of conflicts between water supply and waste disposal usage of an aquifer requires guidelines; suggestions are made for their formulation and the need for legislative and planning controls is outlined.

  17. On-Line Allocation Of Robot Resources To Task Plans

    NASA Astrophysics Data System (ADS)

    Lyons, Damian M.

    1989-02-01

    In this paper, I present an approach to representing plans that make on-line decisions about resource allocation. An on-line decision is the evaluation of a conditional expression involving sensory information as the plan is being executed. I use a plan representation called 7ZS10'1 1,12that has been especially designed for the domain of robot programming, and in particular, for the problem of on-line decisions. The resource allocation example is based on the robot assembly cell architecture outlined by Venkataraman and Lyons16. I begin by setting forth a definition of on-line decision making and some arguments as to why this form of decision making is important and useful. To set the context for the resource allocation example, I take some care in categorizing the types of on-line decision making and the approaches adopted by other workers so far. In particular, I justify a plan-based approach to the study of on-line decision making. From that, the focus shifts to one type of decision making: on-line allocation of robot resources to task plans. Robot resources are the physical manipulators (grippers, wrists, arms, feeders, etc) that are available to carry out the task. I formulate the assembly cell architecture of Venkataraman and Lyons16 as an R.S plan schema, and show how the on-line allocation specified in that architecture can be implemented. Finally, I show how considering the on-line allocation of logical resources, that is a physical resource plus some model information, can be used as a non-traditional approach to some problems in robot task planning.

  18. Synthesis of waste interception and allocation networks

    SciTech Connect

    El-Halwagi, M.M.; Hamad, A.A.; Garrison, G.W.

    1996-11-01

    This article introduces the novel concept of synthesizing waste-interception networks (WINs) and incorporates it within a mass-integration framework for the global allocation of pollutants. The essence of this notion is to provide selective interception and rerouting of undesirable species at the heart of the process instead of dealing with the pollutants in the terminal waste streams. It also provides a unified framework for simultaneously tackling gaseous and liquid pollution. Several tools are developed to track the pollutant throughout the process and determine the optimal interception policies. The problem is formulated as an optimization program that seeks to determine the optimum locations for interception the pollutants, extent of separation, and separating agents to carry out the interception tasks. Furthermore, the WINs can be used within a mass-integration scheme for the global allocation of species throughout the plant. These new concepts and associated mathematical formulation are demonstrated using a case study on the removal of a chlorinated hydrocarbon. This approach has benefits over conventional recycle/reuse (such as MEN synthesis).

  19. Auction-based resource allocation game under a hierarchical structure

    NASA Astrophysics Data System (ADS)

    Cui, Yingying; Zou, Suli; Ma, Zhongjing

    2016-01-01

    This paper studies a class of auction-based resource allocation games under a hierarchical structure, such that each supplier is assigned a certain amount of resource from a single provider and allocates it to its buyers with auction mechanisms. To implement the efficient allocations for the underlying hierarchical system, we first design an auction mechanism, for each local system composed of a supplier and its buyers, which inherits the advantages of the progressive second price mechanism. By employing a dynamic algorithm, each local system converges to its own efficient Nash equilibrium, at which the efficient resource allocation is achieved and the bidding prices of all the buyers in this local system are identical with each other. After the local systems reach their own equilibria respectively, the resources assigned to suppliers are readjusted via a dynamic hierarchical algorithm with respect to the bidding prices associated with the implemented equilibria of local systems. By applying the proposed hierarchical process, the formulated hierarchical system can converge to the efficient allocation under certain mild conditions. The developed results in this work are demonstrated with simulations.

  20. Interference Avoidance and Resource Allocation for OFDMA Downlink of Femtocells with Distributed Power Control

    NASA Astrophysics Data System (ADS)

    Jung, Hyunduk; Han, Jechan; Lee, Jaiyong

    OFDMA femtocells in the macrocellular network of which frequency reuse factor is 1 cause serious interference to macrocell users, while the femtocells improve the performance of indoor users. In this letter, a novel downlink resource allocation algorithm for OFDMA femtocell networks is proposed to reduce interference between the macrocells and the femtocells. This algorithm allocates femtocell subchannels to avoid interference to macrocell users in the femtocell coverage, and minimizes the total transmission power of the femtocell to reduce the negative effect on the performance of the macrocell. Simulation results are provided to present the performance of the proposed algorithm.

  1. Adaptive and Robust Resource Allocation and Scheduling

    DTIC Science & Technology

    2010-05-03

    HOK nvjrnocn OT. vvunr. uim l NUMDUI /. rtni-unminiu UHUHNUA I IUN NMivttis) HNU Muuneosicoi Brown University Office of Research...telecommunication technologies which enables entreprises and organizations to track their operations in real-time us- ing technologies such as GPS...RFIDs, sensors, and high- performance networks. The ubiquity of telecommunication technologies led to a paradigm shift in business processes

  2. Flexible resource allocation during plant defense responses

    PubMed Central

    Schultz, Jack C.; Appel, Heidi M.; Ferrieri, Abigail P.; Arnold, Thomas M.

    2013-01-01

    Plants are organisms composed of modules connected by xylem and phloem transport streams. Attack by both insects and pathogens elicits sometimes rapid defense responses in the attacked module. We have also known for some time that proteins are often reallocated away from pathogen-infected tissues, while the same infection sites may draw carbohydrates to them. This has been interpreted as a tug of war in which the plant withdraws critical resources to block microbial growth while the microbes attempt to acquire more resources. Sink-source regulated transport among modules of critical resources, particularly carbon and nitrogen, is also altered in response to attack. Insects and jasmonate can increase local sink strength, drawing carbohydrates that support defense production. Shortly after attack, carbohydrates may also be drawn to the root. The rate and direction of movement of photosynthate or signals in phloem in response to attack is subject to constraints that include branching, degree of connection among tissues, distance between sources and sinks, proximity, strength, and number of competing sinks, and phloem loading/unloading regulators. Movement of materials (e.g., amino acids, signals) to or from attack sites in xylem is less well understood but is partly driven by transpiration. The root is an influential sink and may regulate sink-source interactions and transport above and below ground as well as between the plant and the rhizosphere and nearby, connected plants. Research on resource translocation in response to pathogens or herbivores has focused on biochemical mechanisms; whole-plant research is needed to determine which, if any, of these plant behaviors actually influence plant fitness. PMID:23986767

  3. Optimal Resource Allocation under Fair QoS in Multi-tier Server Systems

    NASA Astrophysics Data System (ADS)

    Akai, Hirokazu; Ushio, Toshimitsu; Hayashi, Naoki

    Recent development of network technology realizes multi-tier server systems, where several tiers perform functionally different processing requested by clients. It is an important issue to allocate resources of the systems to clients dynamically based on their current requests. On the other hand, Q-RAM has been proposed for resource allocation in real-time systems. In the server systems, it is important that execution results of all applications requested by clients are the same QoS(quality of service) level. In this paper, we extend Q-RAM to multi-tier server systems and propose a method for optimal resource allocation with fairness of the QoS levels of clients’ requests. We also consider an assignment problem of physical machines to be sleep in each tier sothat the energy consumption is minimized.

  4. Approximate Dynamic Programming for Military Resource Allocation

    DTIC Science & Technology

    2014-12-26

    UNLIMITED The views expressed in this thesis are those of the author and do not reflect the official policy or position of the United States Air... auction algo- rithm in a greedy fashion to an exact (but computationally expensive) branching and bounding technique. Sahin and Leblebicioglu [62] apply...network architectures. Brown et al. [18] apply a two-sided model to determine the optimal location to pre- position defensive platforms with the objective

  5. Rectifying social inequalities in a resource allocation task.

    PubMed

    Elenbaas, Laura; Rizzo, Michael T; Cooley, Shelby; Killen, Melanie

    2016-10-01

    To investigate whether children rectify social inequalities in a resource allocation task, participants (N=185 African-American and European-American 5-6year-olds and 10-11year-olds) witnessed an inequality of school supplies between peers of different racial backgrounds. Assessments were conducted on how children judged the wrongfulness of the inequality, allocated new resources to racial ingroup and outgroup recipients, evaluated alternative allocation strategies, and reasoned about their decisions. Younger children showed ingroup favorability; their responses differed depending on whether they had witnessed their ingroup or an outgroup at a disadvantage. With age, children increasingly reasoned about the importance of equal access to school supplies and correcting past disparities. Older children judged the resource inequality negatively, allocated more resources to the disadvantaged group, and positively evaluated the actions of others who did the same, regardless of whether they had seen their racial ingroup or an outgroup at a disadvantage. Thus, balancing moral and social group concerns enabled individuals to rectify inequalities and ensure fair access to important resources regardless of racial group membership.

  6. Consumer-Resource Dynamics: Quantity, Quality, and Allocation

    PubMed Central

    Getz, Wayne M.; Owen-Smith, Norman

    2011-01-01

    Background The dominant paradigm for modeling the complexities of interacting populations and food webs is a system of coupled ordinary differential equations in which the state of each species, population, or functional trophic group is represented by an aggregated numbers-density or biomass-density variable. Here, using the metaphysiological approach to model consumer-resource interactions, we formulate a two-state paradigm that represents each population or group in a food web in terms of both its quantity and quality. Methodology and Principal Findings The formulation includes an allocation function controlling the relative proportion of extracted resources to increasing quantity versus elevating quality. Since lower quality individuals senesce more rapidly than higher quality individuals, an optimal allocation proportion exists and we derive an expression for how this proportion depends on population parameters that determine the senescence rate, the per-capita mortality rate, and the effects of these rates on the dynamics of the quality variable. We demonstrate that oscillations do not arise in our model from quantity-quality interactions alone, but require consumer-resource interactions across trophic levels that can be stabilized through judicious resource allocation strategies. Analysis and simulations provide compelling arguments for the necessity of populations to evolve quality-related dynamics in the form of maternal effects, storage or other appropriate structures. They also indicate that resource allocation switching between investments in abundance versus quality provide a powerful mechanism for promoting the stability of consumer-resource interactions in seasonally forcing environments. Conclusions/Significance Our simulations show that physiological inefficiencies associated with this switching can be favored by selection due to the diminished exposure of inefficient consumers to strong oscillations associated with the well-known paradox of

  7. A Greedy Double Auction Mechanism for Grid Resource Allocation

    NASA Astrophysics Data System (ADS)

    Ding, Ding; Luo, Siwei; Gao, Zhan

    To improve the resource utilization and satisfy more users, a Greedy Double Auction Mechanism(GDAM) is proposed to allocate resources in grid environments. GDAM trades resources at discriminatory price instead of uniform price, reflecting the variance in requirements for profits and quantities. Moreover, GDAM applies different auction rules to different cases, over-demand, over-supply and equilibrium of demand and supply. As a new mechanism for grid resource allocation, GDAM is proved to be strategy-proof, economically efficient, weakly budget-balanced and individual rational. Simulation results also confirm that GDAM outperforms the traditional one on both the total trade amount and the user satisfaction percentage, specially as more users are involved in the auction market.

  8. SECURITY MODELING FOR MARITIME PORT DEFENSE RESOURCE ALLOCATION

    SciTech Connect

    Harris, S.; Dunn, D.

    2010-09-07

    Redeployment of existing law enforcement resources and optimal use of geographic terrain are examined for countering the threat of a maritime based small-vessel radiological or nuclear attack. The evaluation was based on modeling conducted by the Savannah River National Laboratory that involved the development of options for defensive resource allocation that can reduce the risk of a maritime based radiological or nuclear threat. A diverse range of potential attack scenarios has been assessed. As a result of identifying vulnerable pathways, effective countermeasures can be deployed using current resources. The modeling involved the use of the Automated Vulnerability Evaluation for Risks of Terrorism (AVERT{reg_sign}) software to conduct computer based simulation modeling. The models provided estimates for the probability of encountering an adversary based on allocated resources including response boats, patrol boats and helicopters over various environmental conditions including day, night, rough seas and various traffic flow rates.

  9. ACARA - AVAILABILITY, COST AND RESOURCE ALLOCATION

    NASA Technical Reports Server (NTRS)

    Viterna, L. A.

    1994-01-01

    ACARA is a program for analyzing availability, lifecycle cost, and resource scheduling. It uses a statistical Monte Carlo method to simulate a system's capacity states as well as component failure and repair. Component failures are modelled using a combination of exponential and Weibull probability distributions. ACARA schedules component replacement to achieve optimum system performance. The scheduling will comply with any constraints on component production, resupply vehicle capacity, on-site spares, or crew manpower and equipment. ACARA is capable of many types of analyses and trade studies because of its integrated approach. It characterizes the system performance in terms of both state availability and equivalent availability (a weighted average of state availability). It can determine the probability of exceeding a capacity state to assess reliability and loss of load probability. It can also evaluate the effect of resource constraints on system availability and lifecycle cost. ACARA interprets the results of a simulation and displays tables and charts for: (1) performance, i.e., availability and reliability of capacity states, (2) frequency of failure and repair, (3) lifecycle cost, including hardware, transportation, and maintenance, and (4) usage of available resources, including mass, volume, and maintenance man-hours. ACARA incorporates a user-friendly, menu-driven interface with full screen data entry. It provides a file management system to store and retrieve input and output datasets for system simulation scenarios. ACARA is written in APL2 using the APL2 interpreter for IBM PC compatible systems running MS-DOS. Hardware requirements for the APL2 system include 640K of RAM, 2Mb of extended memory, and an 80386 or 80486 processor with an 80x87 math co-processor. A dot matrix printer is required if the user wishes to print a graph from a results table. A sample MS-DOS executable is provided on the distribution medium. The executable contains licensed

  10. Dynamic resource allocation scheme for distributed heterogeneous computer systems

    NASA Technical Reports Server (NTRS)

    Liu, Howard T. (Inventor); Silvester, John A. (Inventor)

    1991-01-01

    This invention relates to a resource allocation in computer systems, and more particularly, to a method and associated apparatus for shortening response time and improving efficiency of a heterogeneous distributed networked computer system by reallocating the jobs queued up for busy nodes to idle, or less-busy nodes. In accordance with the algorithm (SIDA for short), the load-sharing is initiated by the server device in a manner such that extra overhead in not imposed on the system during heavily-loaded conditions. The algorithm employed in the present invention uses a dual-mode, server-initiated approach. Jobs are transferred from heavily burdened nodes (i.e., over a high threshold limit) to low burdened nodes at the initiation of the receiving node when: (1) a job finishes at a node which is burdened below a pre-established threshold level, or (2) a node is idle for a period of time as established by a wakeup timer at the node. The invention uses a combination of the local queue length and the local service rate ratio at each node as the workload indicator.

  11. Optimal Allocation of Cognitive Resources to Spatial Location

    ERIC Educational Resources Information Center

    Shaw, Marilyn L.; Shaw, Peter

    1977-01-01

    From experiments showing that subjects differentially attend to parts of the visual field, psychologists have inferred a limitation on human visual information processing capacity. The model presented describes an optimal way to allocate a limited quantity of "cognitive resources", "attention" or "mental effort". An experiment tests this model.…

  12. Resource Allocation to Government Documents Departments in Academic Libraries.

    ERIC Educational Resources Information Center

    Cook, Kevin L.

    1985-01-01

    Explores both the allocation of resources to documents departments in academic libraries and the wide variation in local levels of support. Ways in which documents librarians may change levels of support through sources within and beyond their libraries are suggested. (CLB)

  13. A Model for Resource Allocation Using Operational Knowledge Assets

    ERIC Educational Resources Information Center

    Andreou, Andreas N.; Bontis, Nick

    2007-01-01

    Purpose: The paper seeks to develop a business model that shows the impact of operational knowledge assets on intellectual capital (IC) components and business performance and use the model to show how knowledge assets can be prioritized in driving resource allocation decisions. Design/methodology/approach: Quantitative data were collected from 84…

  14. Funding the Plan: Integration of Strategic Planning and Resource Allocation

    ERIC Educational Resources Information Center

    Pagel, Richard T.

    2011-01-01

    California Community Colleges are facing increased accountability while at the same time experiencing reduced and uncertain state funding. When resources are not properly allocated there is waste, public criticism, and ultimately increased oversight. A review of the Accrediting Commission for Community and Junior Colleges (ACCJC) sanction letters…

  15. Dynamic Resource Allocation in Disaster Response: Tradeoffs in Wildfire Suppression

    DTIC Science & Technology

    2012-04-13

    Postgraduate School, Monterey, California , United States of America, 3 Physics Department, University of California , Santa Barbara, Santa Barbara... California , United States of America Abstract Challenges associated with the allocation of limited resources to mitigate the impact of natural disasters...manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: petrovic@columbia.edu Introduction Wildfire

  16. Resource Allocation in Ka-band Satellite Systems

    DTIC Science & Technology

    2001-01-01

    resource allocation problem is equivalent to a Multi-choice Multiple Knapsack Problem (MCMKP), which, in general, is very hard to solve in a reasonable ... time . By introducing the seeding theory into the antenna scheduling, we decompose the original MCMCP into a sequence of Multiple-choice Knapsack Problems

  17. Linking Performance Measures to Resource Allocation: Exploring Unmapped Terrain.

    ERIC Educational Resources Information Center

    Ewell, Peter T.

    1999-01-01

    Examination of how (and whether) particular types of institutional performance measures can be beneficially used in making resource allocation decisions finds that only easily verifiable "hard" statistics should be used in classic performance funding approaches, although surveys and the use of good practices by institutions may…

  18. Increasing Subscription Costs and Problems of Resource Allocation.

    ERIC Educational Resources Information Center

    Varma, D. K.

    1983-01-01

    Comparison of business serial subscription prices in 1975 and 1981 in three groups--U.S. and Canadian periodicals; periodicals from other countries; and reference services--examines the problem of rapid cost increase in serial renewals, its effects on library collections, and how to deal with resource allocation within the book budget. (EJS)

  19. Dynamic resource allocation in a hierarchical multiprocessor system: A preliminary study

    NASA Technical Reports Server (NTRS)

    Ngai, Tin-Fook

    1986-01-01

    An integrated system approach to dynamic resource allocation is proposed. Some of the problems in dynamic resource allocation and the relationship of these problems to system structures are examined. A general dynamic resource allocation scheme is presented. A hierarchial system architecture which dynamically maps between processor structure and programs at multiple levels of instantiations is described. Simulation experiments were conducted to study dynamic resource allocation on the proposed system. Preliminary evaluation based on simple dynamic resource allocation algorithms indicates that with the proposed system approach, the complexity of dynamic resource management could be significantly reduced while achieving reasonable effective dynamic resource allocation.

  20. Iterative resource allocation based on propagation feature of node for identifying the influential nodes

    NASA Astrophysics Data System (ADS)

    Zhong, Lin-Feng; Liu, Jian-Guo; Shang, Ming-Sheng

    2015-10-01

    The identification of the influential nodes in networks is one of the most promising domains. In this paper, we present an improved iterative resource allocation (IIRA) method by considering the centrality information of neighbors and the influence of spreading rate for a target node. Comparing with the results of the Susceptible Infected Recovered (SIR) model for four real networks, the IIRA method could identify influential nodes more accurately than the tradition IRA method. Specially, in the Erdös network, Kendall's tau could be enhanced 23% when the spreading rate is 0.12. In the Protein network, Kendall's tau could be enhanced 24% when the spreading rate is 0.08.

  1. Statistical mechanics of human resource allocation

    NASA Astrophysics Data System (ADS)

    Inoue, Jun-Ichi; Chen, He

    2014-03-01

    We provide a mathematical platform to investigate the network topology of agents, say, university graduates who are looking for their positions in labor markets. The basic model is described by the so-called Potts spin glass which is well-known in the research field of statistical physics. In the model, each Potts spin (a tiny magnet in atomic scale length) represents the action of each student, and it takes a discrete variable corresponding to the company he/she applies for. We construct the energy to include three distinct effects on the students' behavior, namely, collective effect, market history and international ranking of companies. In this model system, the correlations (the adjacent matrix) between students are taken into account through the pairwise spin-spin interactions. We carry out computer simulations to examine the efficiency of the model. We also show that some chiral representation of the Potts spin enables us to obtain some analytical insights into our labor markets. This work was financially supported by Grant-in-Aid for Scientific Research (C) of Japan Society for the Promotion of Science No. 25330278.

  2. Geographic variation in resource allocation to the abdomen in geometrid moths

    NASA Astrophysics Data System (ADS)

    Kivelä, Sami M.; Välimäki, Panu; Carrasco, David; Mäenpää, Maarit I.; Mänttäri, Satu

    2012-08-01

    A resource allocation trade-off is expected when resources from a common pool are allocated to two or more traits. In holometabolous insects, resource allocation to different functions during metamorphosis relies completely on larval-derived resources. At adult eclosion, resource allocation to the abdomen at the expense of other body parts can be seen as a rough estimate of resource allocation to reproduction. Theory suggests geographic variation in resource allocation to the abdomen, but there are currently no empirical data on it. We measured resource allocation to the abdomen at adult eclosion in four geometrid moths along a latitudinal gradient. Resource (total dry material, carbon, nitrogen) allocation to the abdomen showed positive allometry with body size. We found geographic variation in resource allocation to the abdomen in each species, and this variation was independent of allometry in three species. Geographic variation in resource allocation to the abdomen was complex. Resource allocation to the abdomen was relatively high in partially bivoltine populations in two species, which fits theoretical predictions, but the overall support for theory is weak. This study indicates that the geographic variation in resource allocation to the abdomen is not an allometric consequence of geographic variation in resource acquisition (i.e., body size). Thus, there is a component of resource allocation that can evolve independently of resource acquisition. Our results also suggest that there may be intraspecific variation in the degree of capital versus income breeding.

  3. Maternal-fetal resource allocation: co-operation and conflict.

    PubMed

    Fowden, A L; Moore, T

    2012-11-01

    Pregnancy is generally a co-operative interaction between mother and fetus in which the evolutionary genetic interests of both benefit from production of healthy offspring. While this view is largely supported by empirical data, Kinship Theory predicts that mother and fetus will disagree over the optimum level of maternal investment that maximises their respective fitnesses. This conflict will be more evident with polyandrous than monogamous mating systems, when resources are scarce and in late gestation when the fetus is growing maximally, particularly if conceptus mass is large relative to maternal mass. As the site of nutrient transfer, the placenta is pivotal in the tug-of-war between mother and fetus over resource allocation. It responds to both fetal signals of nutrient demand and maternal signals of nutrient availability and, by adapting its phenotype, regulates the distribution of available resources. These adaptations involve changes in placental size, morphology, transport characteristics, metabolism and hormone bioavailability. They are mediated by key growth regulatory, endocrine and nutrient supply genes responsive to mismatches between nutrient availability and the fetal genetic drive for growth. Indeed, evolution of genomic imprinting and placental secretion of hormones are believed to have been driven by maternal-fetal conflict over resource allocation. Although many of the specific mechanisms involved still have to be identified, the placenta confers optimal fitness on the offspring for its developmental environment by balancing conflict and cooperation in the allocation of resources through generation of nutrient transport phenotypes specific to the prevailing nutritional conditions and/or fetal genotype.

  4. Florida Information Resource Network.

    ERIC Educational Resources Information Center

    Watson, Francis C.

    1986-01-01

    The Florida Information Resource Network (FIRN) is an effort by the Florida education community and the Florida Legislature to provide an electronic link among all agencies, institutions, and schools in the public education system. The communications link, perhaps one of the most advanced in the nation, has three purposes: (1) to provide equal…

  5. Gender Discrimination in the Allocation of Migrant Household Resources*

    PubMed Central

    Antman, Francisca M.

    2016-01-01

    This paper considers the relationship between international migration and gender discrimination through the lens of decision-making power over intrahousehold resource allocation. The endogeneity of migration is addressed with a difference-in-differences style identification strategy and a model with household fixed effects. The results suggest that while a migrant household head is away, a greater share of resources is spent on girls relative to boys and his spouse commands greater decision-making power. Once the head returns home, however, a greater share of resources goes to boys and there is suggestive evidence of greater authority for the head of household. PMID:27546986

  6. A study of multiagent systems for resource allocation

    NASA Astrophysics Data System (ADS)

    Liu, Haixiao; Shao, Zhichao; Li, Shanfei; Tan, Xianglin

    2017-03-01

    The agent and multiagent system is one of the most active methods for solving complicated problems as to resource allocation recently. Here, an agent can be considered as a computer program who takes autonomous actions to obtain some units of resources for individual purposes and common goals. The environment can be referred to the place where scattered resources and agent behavior-restricted rules are stored. And a multiagent system is a type of computing system built upon multiple situated agents who interact with each other under mechanisms. This paper aims to overview the techniques regarding agents and the environment.

  7. Ising game: Nonequilibrium steady states of resource-allocation systems

    NASA Astrophysics Data System (ADS)

    Xin, C.; Yang, G.; Huang, J. P.

    2017-04-01

    Resource-allocation systems are ubiquitous in the human society. But how external fields affect the state of such systems remains poorly explored due to the lack of a suitable model. Because the behavior of spins pursuing energy minimization required by physical laws is similar to that of humans chasing payoff maximization studied in game theory, here we combine the Ising model with the market-directed resource-allocation game, yielding an Ising game. Based on the Ising game, we show theoretical, simulative and experimental evidences for a formula, which offers a clear expression of nonequilibrium steady states (NESSs). Interestingly, the formula also reveals a convertible relationship between the external field (exogenous factor) and resource ratio (endogenous factor), and a class of saturation as the external field exceeds certain limits. This work suggests that the Ising game could be a suitable model for studying external-field effects on resource-allocation systems, and it could provide guidance both for seeking more relations between NESSs and equilibrium states and for regulating human systems by choosing NESSs appropriately.

  8. Resource allocation framework for heterogeneous SPMD interactive television environments

    NASA Astrophysics Data System (ADS)

    Hensgen, Debra A.

    2001-07-01

    A framework for autonomously controlling resource allocation at the application level in a distributed, heterogeneous multi-tasking SPMD environment called Operator-controlled, distributed resource allocation is motivated and described. The environment requiring such resource allocation is typified by the interactive television environment. In an interactive television environment, applications that are intended to execute within a virtual machine environment on a viewer's integrated receiver decoder (IRD), are encoded and broadcast with the audio-video television program. Different viewers make different choices to cause the application, which is identically downloaded to each IRD, to execute differently, hence comprising a multi-tasking SPMD environment. In current deployments, the IRDs are furnished by the operator who ensures that each IRD has sufficient resources to execute each and every program that is broadcast concurrently; hence, two viewers making exactly the same choices will execute the downloaded application identically. In the future, IRDs are expected to be available at retail stores, purchased by consumers that may choose more or less functionality so long as the IRD has the minimally acceptable functionality according to standards that are currently being developed by the middleware and consumer electronics vendors in conjunction with broadcasters and MSOs.

  9. Computing the Envelope for Stepwise Constant Resource Allocations

    NASA Technical Reports Server (NTRS)

    Muscettola, Nicola; Clancy, Daniel (Technical Monitor)

    2001-01-01

    Estimating tight resource level is a fundamental problem in the construction of flexible plans with resource utilization. In this paper we describe an efficient algorithm that builds a resource envelope, the tightest possible such bound. The algorithm is based on transforming the temporal network of resource consuming and producing events into a flow network with noises equal to the events and edges equal to the necessary predecessor links between events. The incremental solution of a staged maximum flow problem on the network is then used to compute the time of occurrence and the height of each step of the resource envelope profile. The staged algorithm has the same computational complexity of solving a maximum flow problem on the entire flow network. This makes this method computationally feasible for use in the inner loop of search-based scheduling algorithms.

  10. Computing the Envelope for Stepwise-Constant Resource Allocations

    NASA Technical Reports Server (NTRS)

    Muscettola, Nicola; Clancy, Daniel (Technical Monitor)

    2002-01-01

    Computing tight resource-level bounds is a fundamental problem in the construction of flexible plans with resource utilization. In this paper we describe an efficient algorithm that builds a resource envelope, the tightest possible such bound. The algorithm is based on transforming the temporal network of resource consuming and producing events into a flow network with nodes equal to the events and edges equal to the necessary predecessor links between events. A staged maximum flow problem on the network is then used to compute the time of occurrence and the height of each step of the resource envelope profile. Each stage has the same computational complexity of solving a maximum flow problem on the entire flow network. This makes this method computationally feasible and promising for use in the inner loop of flexible-time scheduling algorithms.

  11. Water rights: scarce resource allocation, bureaucracy, and the environment

    SciTech Connect

    Anderson, T.L.

    1983-01-01

    This collection of 9 papers confronts the major issues of water allocation: (1) growing demand and scarce resources point to persistent scarcity; (2) market capabilities and limitations must be identified; and (3) ineffectiveness of state intervention should be understood. The analysis is divided into 3 parts (3 papers each). Part 1 provides a summary look at water policy. Part 2 focuses on reform - proposals for eradicating inefficient allocation resulting from present institutions. The 3 articles examine the economics of property rights based on prior appropriation; efficiency aspects of privatization of water rights based on consumptive use; and a comparison of public and private ownership. Part 3 goes further toward privatization, arguing that institutional externalities can be removed and the most valued use of resources attained through private management of ground water basins.

  12. Time? Money? Both? The allocation of resources to older parents.

    PubMed

    Couch, K A; Daly, M C; Wolf, D A

    1999-05-01

    We provide estimates of a reduced-form model of the allocation of household time and money resources. We consider four demands for these resources: time spent working, time spent providing care for noncoresident elderly parents, time spent performing housework, and monetary transfers to noncoresident elderly parents. We focus on the effects of wage rates and parental characteristics on the allocation decisions of adult children and their households concerning these four demands. We find that households with individuals earning high wages rely relatively more on cash transfers and relatively less on time transfers than do lower-wage households. We also find evidence consistent with an unmeasured tendency of some families to provide multiple sources of support.

  13. Mixed strategies and natural selection in resource allocation.

    PubMed

    Kareva, Irina; Berezovkaya, Faina; Karev, Georgy

    2013-01-01

    An appropriate choice of strategy for resource allocation may frequently determine whether a population will be able to survive under the conditions of severe resource limitations. Here we focus on two classes of strategies allocation of resources towards rapid proliferation, or towards slower proliferation but increased physiological and environmental maintenance. We propose a generalized framework, where individuals within a population can use either strategy in different proportion for utilization of a common dynamical resource in order to maximize their fitness. We use the model to address two major questions, namely, whether either strategy is more likely to be selected for as a result of natural selection, and, if one allows for the possibility of resource over-consumption, whether either strategy is preferable for avoiding population collapse due to resource exhaustion. Analytical and numerical results suggest that the ultimate choice of strategy is determined primarily by the initial distribution of individuals in the population, and that while investment in physiological and environmental maintenance is a preferable strategy in a homogeneous population, no generalized prediction can be made about heterogeneous populations.

  14. [Optimal allocation of irrigation water resources based on systematical strategy].

    PubMed

    Cheng, Shuai; Zhang, Shu-qing

    2015-01-01

    With the development of the society and economy, as well as the rapid increase of population, more and more water is needed by human, which intensified the shortage of water resources. The scarcity of water resources and growing competition of water in different water use sectors reduce water availability for irrigation, so it is significant to plan and manage irrigation water resources scientifically and reasonably for improving water use efficiency (WUE) and ensuring food security. Many investigations indicate that WUE can be increased by optimization of water use. However, present studies focused primarily on a particular aspect or scale, which lack systematic analysis on the problem of irrigation water allocation. By summarizing previous related studies, especially those based on intelligent algorithms, this article proposed a multi-level, multi-scale framework for allocating irrigation water, and illustrated the basic theory of each component of the framework. Systematical strategy of optimal irrigation water allocation can not only control the total volume of irrigation water on the time scale, but also reduce water loss on the spatial scale. It could provide scientific basis and technical support for improving the irrigation water management level and ensuring the food security.

  15. Optimal allocation of file servers in a local network environment

    NASA Technical Reports Server (NTRS)

    Woodside, C. M.; Tripathi, S. K.

    1986-01-01

    Files associated with workstations in a local area network are to be allocated among two or more file servers. Assuming statistically identical workstations and file servers and a performance model which is a closed multiclass separable queueing network, an optimal allocation is found. It is shown that all the files of each workstation should be placed on one file server, with the workstations divided as equally as possible among the file servers.

  16. Resource physiology of conifers: Acquisition, allocation, and utilization

    SciTech Connect

    Smith, W.K.; Hinckley, T.M.

    1995-03-01

    This book focuses on a synthetic view of the resource physiology of conifer trees with an emphasis on developing a perspective that can integrate across the biological hierarchy. This objective is in concert with more scientific goals of maintaining biological diversity and the sustainability of forest systems. The preservation of coniferous forest ecosystems is a major concern today. This volume deals with the topics of resource acquisition, allocation, and utilization in conifers. Selected papers are indexed separately for inclusion in the Energy Science and Technology Database.

  17. Adversarial Risk Analysis for Urban Security Resource Allocation.

    PubMed

    Gil, César; Rios Insua, David; Rios, Jesus

    2016-04-01

    Adversarial risk analysis (ARA) provides a framework to deal with risks originating from intentional actions of adversaries. We show how ARA may be used to allocate security resources in the protection of urban spaces. We take into account the spatial structure and consider both proactive and reactive measures, in that we aim at both trying to reduce criminality as well as recovering as best as possible from it, should it happen. We deal with the problem by deploying an ARA model over each spatial unit, coordinating the models through resource constraints, value aggregation, and proximity. We illustrate our approach with an example that uncovers several relevant policy issues.

  18. Smart LED allocation scheme for efficient multiuser visible light communication networks.

    PubMed

    Sewaiwar, Atul; Tiwari, Samrat Vikramaditya; Chung, Yeon Ho

    2015-05-18

    In a multiuser bidirectional visible light communication (VLC), a large number of LEDs or an LED array needs to be allocated in an efficient manner to ensure sustainable data rate and link quality. Moreover, in order to support an increasing or decreasing number of users in the network, the LED allocation is required to be performed dynamically. In this paper, a novel smart LED allocation scheme for efficient multiuser VLC networks is presented. The proposed scheme allocates RGB LEDs to multiple users in a dynamic and efficient fashion, while satisfying illumination requirements in an indoor environment. The smart LED array comprised of RGB LEDs is divided into sectors according to the location of the users. The allocated sectors then provide optical power concentration toward the users for efficient and reliable data transmission. An algorithm for the dynamic allocation of the LEDs is also presented. To verify its effective resource allocation feature of the proposed scheme, simulations were performed. It is found that the proposed smart LED allocation scheme provides the effect of optical beamforming toward individual users, thereby increasing the collective power concentration of the optical signals on the desirable users and resulting in significantly increased data rate, while ensuring sufficient illumination in a multiuser VLC environment.

  19. Protecting resources for primary health care under fiscal federalism: options for resource allocation.

    PubMed

    Okorafor, Okore A; Thomas, Stephen

    2007-11-01

    The introduction of fiscal federalism or decentralization of functions to lower levels of government is a reform not done primarily with health sector concerns. A major concern for the health sector is that devolution of expenditure responsibilities to sub-national levels of government can adversely affect the equitable distribution of financial resources across local jurisdictions. Since the adoption of fiscal federalism in South Africa, progress towards achieving a more equitable distribution of public sector health resources (financial) has slowed down considerably. This study attempts to identify appropriate resource allocation mechanisms under the current South African fiscal federal system that could be employed to promote equity in primary health care (PHC) allocations across provinces and districts. The study uses data from interviews with government officials involved in the budgeting and resource allocation process for PHC, literature on fiscal federalism and literature on international experience to inform analysis and recommendations. The results from the study identify historical incremental budgeting, weak managerial capacity at lower levels of government, poor accounting of PHC expenditure, and lack of protection for PHC funds as constraints to the realization of a more equitable distribution of PHC allocations. Based on interview data, no one resource allocation mechanism received unanimous support from stakeholders. However, the study highlights the particularly high level of autonomy enjoyed by provincial governments with regards to decision making for allocations to health and PHC services as the major constraint to achieving a more equitable distribution of PHC resources. The national government needs to have more involvement in decision making for resource allocation to PHC services if significant progress towards equity is to be achieved.

  20. Simple rationality? The law of healthcare resource allocation in England

    PubMed Central

    Foster, Charles

    2007-01-01

    This paper examines the law relating to healthcare resource allocation in England. The National Health Service (NHS) Act 1977 does not impose an absolute duty to provide specified healthcare services. The courts will only interfere with a resource allocation decision made by an NHS body if that decision is frankly irrational (or where the decision infringes the principle of proportionality when a right under the European Convention on Human Rights (ECHR) is engaged). Such irrationality is very difficult to establish. The ECHR has made no significant contribution to domestic English law in the arena of healthcare provision. The decision of the European Court in the Yvonne Watts case establishes that, in relation to the question of entitlement to seek treatment abroad at the expense of the NHS, a clinical judgment about the urgency of treatment trumps an administrative decision about waiting list targets. That decision goes against the grain of domestic law about healthcare allocation, but is not likely to have wide ramifications in domestic law. PMID:17601868

  1. Controlling collective dynamics in complex minority-game resource-allocation systems.

    PubMed

    Zhang, Ji-Qiang; Huang, Zi-Gang; Dong, Jia-Qi; Huang, Liang; Lai, Ying-Cheng

    2013-05-01

    Resource allocation takes place in various kinds of real-world complex systems, such as traffic systems, social services institutions or organizations, or even ecosystems. The fundamental principle underlying complex resource-allocation dynamics is Boolean interactions associated with minority games, as resources are generally limited and agents tend to choose the least used resource based on available information. A common but harmful dynamical behavior in resource-allocation systems is herding, where there are time intervals during which a large majority of the agents compete for a few resources, leaving many other resources unused. Accompanying the herd behavior is thus strong fluctuations with time in the number of resources being used. In this paper, we articulate and establish that an intuitive control strategy, namely pinning control, is effective at harnessing the herding dynamics. In particular, by fixing the choices of resources for a few agents while leaving the majority of the agents free, herding can be eliminated completely. Our investigation is systematic in that we consider random and targeted pinning and a variety of network topologies, and we carry out a comprehensive analysis in the framework of mean-field theory to understand the working of control. The basic philosophy is then that, when a few agents waive their freedom to choose resources by receiving sufficient incentives, the majority of the agents benefit in that they will make fair, efficient, and effective use of the available resources. Our work represents a basic and general framework to address the fundamental issue of fluctuations in complex dynamical systems with significant applications to social, economical, and political systems.

  2. Relaxed Time Slot Negotiation for Grid Resource Allocation

    NASA Astrophysics Data System (ADS)

    Son, Seokho; Sim, Kwang Mong

    Since participants in a computational grid may be independent bodies, some mechanisms are necessary for resolving the differences in their preferences for price and desirable time slots for utilizing/leasing computing resources. Whereas there are mechanisms for supporting price negotiation for grid resource allocation, there is little or no negotiation support for allocating mutually acceptable time slots for grid participants. The contribution of this work is designing a negotiation mechanism for facilitating time slot negotiations between grid participants. In particular, this work adopts a relaxed time slot negotiation protocol designed to enhance the success rate and resource utilization level by allowing some flexibility for making slight adjustments following a tentative agreement for a mutually acceptable time slot. The ideas of the relaxed time slot negotiation are implemented in an agent-based grid testbed, and empirical results of the relaxed time slot negotiation mechanism carried out, (i) a consumer and a provider agent have a mutually satisfying agreement on time slot and price, (ii) consumer agents achieved higher success rates in negotiation, and (iii) provider agents achieved higher utility and resource utilization of overall grid.

  3. Updated System-Availability and Resource-Allocation Program

    NASA Technical Reports Server (NTRS)

    Viterna, Larry

    2004-01-01

    A second version of the Availability, Cost and Resource Allocation (ACARA) computer program has become available. The first version was reported in an earlier tech brief. To recapitulate: ACARA analyzes the availability, mean-time-between-failures of components, life-cycle costs, and scheduling of resources of a complex system of equipment. ACARA uses a statistical Monte Carlo method to simulate the failure and repair of components while complying with user-specified constraints on spare parts and resources. ACARA evaluates the performance of the system on the basis of a mathematical model developed from a block-diagram representation. The previous version utilized the MS-DOS operating system and could not be run by use of the most recent versions of the Windows operating system. The current version incorporates the algorithms of the previous version but is compatible with Windows and utilizes menus and a file-management approach typical of Windows-based software.

  4. Dynamic resource allocation in disaster response: tradeoffs in wildfire suppression.

    PubMed

    Petrovic, Nada; Alderson, David L; Carlson, Jean M

    2012-01-01

    Challenges associated with the allocation of limited resources to mitigate the impact of natural disasters inspire fundamentally new theoretical questions for dynamic decision making in coupled human and natural systems. Wildfires are one of several types of disaster phenomena, including oil spills and disease epidemics, where (1) the disaster evolves on the same timescale as the response effort, and (2) delays in response can lead to increased disaster severity and thus greater demand for resources. We introduce a minimal stochastic process to represent wildfire progression that nonetheless accurately captures the heavy tailed statistical distribution of fire sizes observed in nature. We then couple this model for fire spread to a series of response models that isolate fundamental tradeoffs both in the strength and timing of response and also in division of limited resources across multiple competing suppression efforts. Using this framework, we compute optimal strategies for decision making scenarios that arise in fire response policy.

  5. Understanding Student-Weighted Allocation as a Means to Greater School Resource Equity

    ERIC Educational Resources Information Center

    Miles, Karen Hawley; Roza, Marguerite

    2006-01-01

    As attention shifts to how districts allocate resources to schools, student weighted allocation has emerged as an alternative to traditional staff-based allocation policies. Student-weighted allocation uses student need, rather than staff placement, as the building block of school budgeting. This article examines how the shift to student-weighted…

  6. Children's allocation of resources in social dominance situations.

    PubMed

    Charafeddine, Rawan; Mercier, Hugo; Clément, Fabrice; Kaufmann, Laurence; Reboul, Anne; Van der Henst, Jean-Baptiste

    2016-11-01

    Two experiments with preschoolers (36 to 78 months) and 8-year-old children (Experiment 1, N = 173; Experiment 2, N = 132) investigated the development of children's resource distribution in dominance contexts. On the basis of the distributive justice literature, 2 opposite predictions were tested. Children could match resource allocation with the unequal social setting they observe and thus favor a dominant individual over a subordinate 1. Alternatively, children could choose to compensate the subordinate if they consider that the dominance asymmetry should be counteracted. Two experiments using a giving task (Experiment 1) and a taking task (Experiment 2) led to the same results. In both experiments, children took dominance into account when allocating resources. Moreover, their distributive decisions were similarly affected by age: Although 3- and 4-year-old children favored the dominant individual, 5-year-old children showed no preference and 8-year-old children strongly favored the subordinate. Several mechanisms accounting for this developmental pattern are discussed. (PsycINFO Database Record

  7. Cognitive cost as dynamic allocation of energetic resources

    PubMed Central

    Christie, S. Thomas; Schrater, Paul

    2015-01-01

    While it is widely recognized that thinking is somehow costly, involving cognitive effort and producing mental fatigue, these costs have alternatively been assumed to exist, treated as the brain's assessment of lost opportunities, or suggested to be metabolic but with implausible biological bases. We present a model of cognitive cost based on the novel idea that the brain senses and plans for longer-term allocation of metabolic resources by purposively conserving brain activity. We identify several distinct ways the brain might control its metabolic output, and show how a control-theoretic model that models decision-making with an energy budget can explain cognitive effort avoidance in terms of an optimal allocation of limited energetic resources. The model accounts for both subject responsiveness to reward and the detrimental effects of hypoglycemia on cognitive function. A critical component of the model is using astrocytic glycogen as a plausible basis for limited energetic reserves. Glycogen acts as an energy buffer that can temporarily support high neural activity beyond the rate supported by blood glucose supply. The published dynamics of glycogen depletion and repletion are consonant with a broad array of phenomena associated with cognitive cost. Our model thus subsumes both the “cost/benefit” and “limited resource” models of cognitive cost while retaining valuable contributions of each. We discuss how the rational control of metabolic resources could underpin the control of attention, working memory, cognitive look ahead, and model-free vs. model-based policy learning. PMID:26379482

  8. Improving Hospital-Wide Early Resource Allocation through Machine Learning.

    PubMed

    Gartner, Daniel; Padman, Rema

    2015-01-01

    The objective of this paper is to evaluate the extent to which early determination of diagnosis-related groups (DRGs) can be used for better allocation of scarce hospital resources. When elective patients seek admission, the true DRG, currently determined only at discharge, is unknown. We approach the problem of early DRG determination in three stages: (1) test how much a Naïve Bayes classifier can improve classification accuracy as compared to a hospital's current approach; (2) develop a statistical program that makes admission and scheduling decisions based on the patients' clincial pathways and scarce hospital resources; and (3) feed the DRG as classified by the Naïve Bayes classifier and the hospitals' baseline approach into the model (which we evaluate in simulation). Our results reveal that the DRG grouper performs poorly in classifying the DRG correctly before admission while the Naïve Bayes approach substantially improves the classification task. The results from the connection of the classification method with the mathematical program also reveal that resource allocation decisions can be more effective and efficient with the hybrid approach.

  9. Cooperative network clustering and task allocation for heterogeneous small satellite network

    NASA Astrophysics Data System (ADS)

    Qin, Jing

    The research of small satellite has emerged as a hot topic in recent years because of its economical prospects and convenience in launching and design. Due to the size and energy constraints of small satellites, forming a small satellite network(SSN) in which all the satellites cooperate with each other to finish tasks is an efficient and effective way to utilize them. In this dissertation, I designed and evaluated a weight based dominating set clustering algorithm, which efficiently organizes the satellites into stable clusters. The traditional clustering algorithms of large monolithic satellite networks, such as formation flying and satellite swarm, are often limited on automatic formation of clusters. Therefore, a novel Distributed Weight based Dominating Set(DWDS) clustering algorithm is designed to address the clustering problems in the stochastically deployed SSNs. Considering the unique features of small satellites, this algorithm is able to form the clusters efficiently and stably. In this algorithm, satellites are separated into different groups according to their spatial characteristics. A minimum dominating set is chosen as the candidate cluster head set based on their weights, which is a weighted combination of residual energy and connection degree. Then the cluster heads admit new neighbors that accept their invitations into the cluster, until the maximum cluster size is reached. Evaluated by the simulation results, in a SSN with 200 to 800 nodes, the algorithm is able to efficiently cluster more than 90% of nodes in 3 seconds. The Deadline Based Resource Balancing (DBRB) task allocation algorithm is designed for efficient task allocations in heterogeneous LEO small satellite networks. In the task allocation process, the dispatcher needs to consider the deadlines of the tasks as well as the residue energy of different resources for best energy utilization. We assume the tasks adopt a Map-Reduce framework, in which a task can consist of multiple

  10. Dynamic Resource Allocation with the arcControlTower

    NASA Astrophysics Data System (ADS)

    Filipčič, A.; Cameron, D.; Nilsen, J. K.

    2015-12-01

    Distributed computing resources available for high-energy physics research are becoming less dedicated to one type of workflow and researchers workloads are increasingly exploiting modern computing technologies such as parallelism. The current pilot job management model used by many experiments relies on static dedicated resources and cannot easily adapt to these changes. The model used for ATLAS in Nordic countries and some other places enables a flexible job management system based on dynamic resources allocation. Rather than a fixed set of resources managed centrally, the model allows resources to be requested on the fly. The ARC Computing Element (ARC-CE) and ARC Control Tower (aCT) are the key components of the model. The aCT requests jobs from the ATLAS job management system (PanDA) and submits a fully-formed job description to ARC-CEs. ARC-CE can then dynamically request the required resources from the underlying batch system. In this paper we describe the architecture of the model and the experience of running many millions of ATLAS jobs on it.

  11. Lessons learned from a regional strategy for resource allocation.

    PubMed

    Edwards, Janine C; Stapley, Jonathan; Akins, Ralitsa; Silenas, Rasa; Williams, Josie R

    2005-01-01

    Two qualitative case studies focus on the allocation of CDC funds distributed during 2002 for bioterrorism preparedness in two Texas public health regions (each as populous and complex as many states). Lessons learned are presented for public health officials and others who work to build essential public health services and security for our nation. The first lesson is that personal relationships are the cornerstone of preparedness. A major lesson is that a regional strategy to manage funds may be more effective than allocating funds on a per capita basis. One regional director required every local department to complete a strategic plan as a basis for proportional allocation of the funds. Control of communicable diseases was a central component of the planning. Some funds were kept at the regional level to provide epidemiology services, computer software, equipment, and training for the entire region. Confirmation of the value of this regional strategy was expressed by local public health and emergency management officials in a focus group 1 year after the strategy had been implemented. The group members also pointed out the need to streamline the planning process, provide up-to-date computer networks, and receive more than minimal communication. This regional strategy can be viewed from the perspective of adaptive leadership, defined as activities to bring about constructive change, which also can be used to analyze other difficult areas of preparedness.

  12. A Hierarchical Auction-Based Mechanism for Real-Time Resource Allocation in Cloud Robotic Systems.

    PubMed

    Wang, Lujia; Liu, Ming; Meng, Max Q-H

    2017-02-01

    Cloud computing enables users to share computing resources on-demand. The cloud computing framework cannot be directly mapped to cloud robotic systems with ad hoc networks since cloud robotic systems have additional constraints such as limited bandwidth and dynamic structure. However, most multirobotic applications with cooperative control adopt this decentralized approach to avoid a single point of failure. Robots need to continuously update intensive data to execute tasks in a coordinated manner, which implies real-time requirements. Thus, a resource allocation strategy is required, especially in such resource-constrained environments. This paper proposes a hierarchical auction-based mechanism, namely link quality matrix (LQM) auction, which is suitable for ad hoc networks by introducing a link quality indicator. The proposed algorithm produces a fast and robust method that is accurate and scalable. It reduces both global communication and unnecessary repeated computation. The proposed method is designed for firm real-time resource retrieval for physical multirobot systems. A joint surveillance scenario empirically validates the proposed mechanism by assessing several practical metrics. The results show that the proposed LQM auction outperforms state-of-the-art algorithms for resource allocation.

  13. Resource Allocation over a GRID Military Network

    DTIC Science & Technology

    2006-12-01

    The behaviour is called PHB (Per Hop Behaviour) and it is defined locally; i.e., it is not an end- to-end specification (as for RSVP) but it is...UNLIMITED UNCLASSIFIED/UNLIMITED The class selector PHB offers three forwarding priorities: Expedited Forwarding (EF) characterized by a minimum...14] J. Heinanen, F. Baker, W. Weiss, J. Wroclawski, “Assured Forwarding PHB Group,” IETF RFC 2597, June 1999. [15] E. Crawley, R. Nair, B

  14. Joint scheduling and resource allocation for multiple video decoding tasks

    NASA Astrophysics Data System (ADS)

    Foo, Brian; van der Schaar, Mihaela

    2008-01-01

    In this paper we propose a joint resource allocation and scheduling algorithm for video decoding on a resource-constrained system. By decomposing a multimedia task into decoding jobs using quality-driven priority classes, we demonstrate using queuing theoretic analysis that significant power savings can be achieved under small video quality degradation without requiring the encoder to adapt its transmitted bitstream. Based on this scheduling algorithm, we propose an algorithm for maximizing the sum of video qualities in a multiple task environment, while minimizing system energy consumption, without requiring tasks to reveal information about their performances to the system or to other potentially exploitative applications. Importantly, we offer a method to optimize the performance of multiple video decoding tasks on an energy-constrained system, while protecting private information about the system and the applications.

  15. Resource allocation in health care: the allocation of lifestyles to providers.

    PubMed

    Reinhardt, U E

    1987-01-01

    The objective of this article has been to draw the spotlight onto a much neglected facet of the discussion on resource allocation in health care: the process by which society decides what lifestyle the providers of health care may extract, directly or indirectly, from the patient's pocket book. Given the slice of the GNP society surrenders to the providers of health care collectively, the quantity of real health care resources made available to patients obviously varies inversely with the elevation of the lifestyle attained by the providers. These reflections have been triggered by a vexing paradox plaguing contemporary American health care: incessant talk about rationing in the midst of plenty. Conference after conference in this country has been dedicated in recent years to the "agonizing choices visited upon American health care by the age of restricting resources." Remarkably, few of the avid conference organizers, and few of their fiery orators, ever stop to think just what resource flow has actually been constricting. Has it been the supply of physicians? Has it been the supply of hospital beds? Has it been the flow of real purchasing power into the health care system? In general, the preference has been to bypass these questions altogether and to lament in a data-free context. What has been contracting in American health care has not been the flow of money into the sector, nor the flow of professionals, facilities, and entrepreneurs seeking to to do well there by doing good, but, if anything at all, the flow of real health services from providers to patients, certainly to patients who are uninsured and of modest means. And what seems required to solve the sector's problem is not so much an infusion of yet larger sums of money, but a decision-making algorithm capable of using the money already in the system to redirect real health care resources from persons who now receive perilously too many health services to persons who now receive perilously too few

  16. Patch Network for Power Allocation and Distribution in Smart Materials

    NASA Technical Reports Server (NTRS)

    Golembiewski, Walter T.

    2000-01-01

    The power allocation and distribution (PAD) circuitry is capable of allocating and distributing a single or multiple sources of power over multi-elements of a power user grid system. The purpose of this invention is to allocate and distribute power that is collected by individual patch rectennas to a region of specific power-user devices, such as actuators. The patch rectenna converts microwave power into DC power. Then this DC power is used to drive actuator devices. However, the power from patch rectennas is not sufficient to drive actuators unless all the collected power is effectively used to drive another group by allocation and distribution. The power allocation and distribution (PAD) circuitry solves the shortfall of power for devices in a large array. The PAD concept is based on the networked power control in which power collected over the whole array of rectennas is allocated to a sub domain where a group of devices is required to be activated for operation. Then the allocated power is distributed to individual element of power-devices in the sub domain according to a selected run-mode.

  17. Link prediction in complex networks based on an information allocation index

    NASA Astrophysics Data System (ADS)

    Pei, Panpan; Liu, Bo; Jiao, Licheng

    2017-03-01

    An important issue in link prediction of complex networks is to make full use of different kinds of available information simultaneously. To tackle this issue, recently, an information-theoretic model has been proposed and a novel Neighbor Set Information Index (NSI) has been designed. Motivated by this work, we proposed a more general information-theoretic model by further distinguishing the contributions from different variables of the available features. Then, by introducing the resource allocation process into the model, we designed a new index based on neighbor sets with a virtual information allocation process: Neighbor Set Information Allocation Index(NSIA). Experimental studies on real world networks from disparate fields indicate that NSIA performs well compared with NSI as well as other typical proximity indices.

  18. Allocation of time and resources by married couples approaching retirement.

    PubMed

    Clark, R L; Johnson, T; McDermed, A A

    1980-04-01

    The work and retirement decisions of husbands and wives are likely to be made jointly as they allocate their available resources. This article models the allocation of family wealth and family members' time over the lifetime of the unit. The first section reports simulation results that illustrate the relationship between the value of members' time in both market work and the production of home services. The model is then tested by means of the Retirement History Study for 1969-73. The estimation is conducted by employing a simultaneous logit model of labor-force participation by the husband and wife. Principal findings are: (1) Individuals respond positively to increases in their own wage rate but tend to reduce labor-force participation as the wage rate of their spouse increases, (2) the health of the husband is an important determinant of his labor-force participation, and (3) the probability that a person will be in the labor force is raised if the spouse is employed.

  19. Resource acquisition, allocation, and utilization in parasitoid reproductive strategies.

    PubMed

    Jervis, Mark A; Ellers, Jacintha; Harvey, Jeffrey A

    2008-01-01

    Parasitoids display remarkable inter- and intraspecific variation in their reproductive and associated traits. Adaptive explanations have been proposed for many of the between-trait relationships. We present an overview of the current knowledge of parasitoid reproductive biology, focusing on egg production strategies in females, by placing parasitoid reproduction within physiological and ecological contexts. Thus, we relate parasitoid reproduction both to inter- and intraspecific patterns of nutrient allocation, utilization, and acquisition, and to key aspects of host ecology, specifically abundance and dispersion pattern. We review the evidence that resource trade-offs underlie several key intertrait correlations and that reproductive and feeding strategies are closely integrated at both the physiological and the behavioral levels. The idea that parasitoids can be divided into capital-breeders or income-breeders is no longer tenable; such terminology is best restricted to the females' utilization of particular nutrients.

  20. Dynamic bandwidth allocation by using efficient threshold reporting for quality of service in Ethernet passive optical networks

    NASA Astrophysics Data System (ADS)

    Yang, Yeon-Mo; Nho, Ji-Myong; Perros, Harry G.; Mahalik, N. P.; Kim, Kiseon; Ahn, Byung-Ha

    2006-03-01

    We present a dynamic bandwidth allocation scheme for Ethernet passive optical networks. This scheme, referred to as TDBA, is based on efficient threshold reporting and provides quality of service (QoS) to three different classes of packets. It is shown that network resources are efficiently allocated among the three traffic classes while guaranteeing the requested QoS by avoiding nearly all fragmentation losses. Simulation results using OPNET show that the TDBA scheme provides better packet delay and channel utilization than the other previously published allocation schemes.

  1. Web based tool for resource allocation in multiple mass casualty incidents.

    PubMed

    Inampudi, Venkata S; Ganz, Aura

    2009-01-01

    In this paper we introduce a web based real time resource allocation tool that can assist the incident commanders and resource managers in the complex task of resource allocation and transportation for multiple simultaneous incidents that occur in close geographical proximity. The tool takes real time inputs like the location of emergency sites and damaged routes from Google Maps, generates an optimal transportation plan so that emergency sites with highest priorities for a resource are assigned the resources in the least amount of time. The optimal solution is presented graphically using Google Maps. Our solution can be used for emergency resource allocation at both the initial response stage and later stages.

  2. Children's recognition of fairness and others' welfare in a resource allocation task: Age related changes.

    PubMed

    Rizzo, Michael T; Elenbaas, Laura; Cooley, Shelby; Killen, Melanie

    2016-08-01

    The present study investigated age-related changes regarding children's (N = 136) conceptions of fairness and others' welfare in a merit-based resource allocation paradigm. To test whether children at 3- to 5-years-old and 6- to 8-years-old took others' welfare into account when dividing resources, in addition to merit and equality concerns, children were asked to allocate, judge, and reason about allocations of necessary (needed to avoid harm) and luxury (enjoyable to have) resources to a hardworking and a lazy character. While 3- to 5-year-olds did not differentiate between distributing luxury and necessary resources, 6- to 8-year-olds allocated luxury resources more meritoriously than necessary resources. Further, children based their allocations of necessary resources on concerns for others' welfare, rather than merit, even when one character was described as working harder. The findings revealed that, with age, children incorporated the concerns for others' welfare and merit into their conceptions of fairness in a resource allocation context, and prioritized these concerns differently depending on whether they were allocating luxury or necessary resources. Further, with age, children weighed multiple moral concerns including equality, merit, and others' welfare, when determining the fair allocation of resources. (PsycINFO Database Record

  3. Evolution of symbiosis with resource allocation from fecundity to survival.

    PubMed

    Fukui, Shin

    2014-05-01

    Symbiosis is one of the most fundamental relationships between or among organisms and includes parasitism (which has negative effects on the fitness of the interacting partner), commensalism (no effect), and mutualism (positive effects). The effects of these interactions are usually assumed to influence a single component of a species' fitness, either survival or fecundity, even though in reality the interaction can simultaneously affect both of these components. I used a dual lattice model to investigate the process of evolution of mutualistic symbiosis in the presence of interactive effects on both survival and fecundity. I demonstrate that a positive effect on survival and a negative effect on fecundity are key to the establishment of mutualism. Furthermore, both the parasitic and the mutualistic behaviour must carry large costs for mutualism to evolve. This helps develop a new understanding of symbiosis as a function of resource allocation, in which resources are shifted from fecundity to survival. The simultaneous establishment of mutualism from parasitism never occurs in two species, but can do so in one of the species as long as the partner still behaves parasitically. This suggests that one of the altruistic behaviours in a mutualistic unit consisting of two species must originate as a parasitic behaviour.

  4. Evolution of symbiosis with resource allocation from fecundity to survival

    NASA Astrophysics Data System (ADS)

    Fukui, Shin

    2014-05-01

    Symbiosis is one of the most fundamental relationships between or among organisms and includes parasitism (which has negative effects on the fitness of the interacting partner), commensalism (no effect), and mutualism (positive effects). The effects of these interactions are usually assumed to influence a single component of a species' fitness, either survival or fecundity, even though in reality the interaction can simultaneously affect both of these components. I used a dual lattice model to investigate the process of evolution of mutualistic symbiosis in the presence of interactive effects on both survival and fecundity. I demonstrate that a positive effect on survival and a negative effect on fecundity are key to the establishment of mutualism. Furthermore, both the parasitic and the mutualistic behaviour must carry large costs for mutualism to evolve. This helps develop a new understanding of symbiosis as a function of resource allocation, in which resources are shifted from fecundity to survival. The simultaneous establishment of mutualism from parasitism never occurs in two species, but can do so in one of the species as long as the partner still behaves parasitically. This suggests that one of the altruistic behaviours in a mutualistic unit consisting of two species must originate as a parasitic behaviour.

  5. Dynamic fair node spectrum allocation for ad hoc networks using random matrices

    NASA Astrophysics Data System (ADS)

    Rahmes, Mark; Lemieux, George; Chester, Dave; Sonnenberg, Jerry

    2015-05-01

    Dynamic Spectrum Access (DSA) is widely seen as a solution to the problem of limited spectrum, because of its ability to adapt the operating frequency of a radio. Mobile Ad Hoc Networks (MANETs) can extend high-capacity mobile communications over large areas where fixed and tethered-mobile systems are not available. In one use case with high potential impact, cognitive radio employs spectrum sensing to facilitate the identification of allocated frequencies not currently accessed by their primary users. Primary users own the rights to radiate at a specific frequency and geographic location, while secondary users opportunistically attempt to radiate at a specific frequency when the primary user is not using it. We populate a spatial radio environment map (REM) database with known information that can be leveraged in an ad hoc network to facilitate fair path use of the DSA-discovered links. Utilization of high-resolution geospatial data layers in RF propagation analysis is directly applicable. Random matrix theory (RMT) is useful in simulating network layer usage in nodes by a Wishart adjacency matrix. We use the Dijkstra algorithm for discovering ad hoc network node connection patterns. We present a method for analysts to dynamically allocate node-node path and link resources using fair division. User allocation of limited resources as a function of time must be dynamic and based on system fairness policies. The context of fair means that first available request for an asset is not envied as long as it is not yet allocated or tasked in order to prevent cycling of the system. This solution may also save money by offering a Pareto efficient repeatable process. We use a water fill queue algorithm to include Shapley value marginal contributions for allocation.

  6. Resource Allocation in Private Research Universities. Studies in Higher Education Dissertation Series.

    ERIC Educational Resources Information Center

    Rodas, Daniel

    This book explores the resource allocation process in contemporary private research universities through detailed case studies. It discusses historical approaches to university resource allocation and the mission, culture, priorities, and economic factors involved. Cases are based on interviews with administrators. The chapters are: (1)…

  7. A Model of Resource Allocation in Public School Districts: A Theoretical and Empirical Analysis.

    ERIC Educational Resources Information Center

    Chambers, Jay G.

    This paper formulates a comprehensive model of resource allocation in a local public school district. The theoretical framework specified could be applied equally well to any number of local public social service agencies. Section 1 develops the theoretical model describing the process of resource allocation. This involves the determination of the…

  8. 76 FR 64085 - Post-2014 Resource Pool-Loveland Area Projects, Final Power Allocation

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-10-17

    ... Area Power Administration Post-2014 Resource Pool-Loveland Area Projects, Final Power Allocation AGENCY...), announces its Post-2014 Resource Pool-Loveland Area Projects, Final Power Allocation developed under the requirements of subpart C-Power Marketing Initiative of the Energy Planning and Management Program...

  9. The Effects of Charter School Competition on School District Resource Allocation

    ERIC Educational Resources Information Center

    Arsen, David; Ni, Yongmei

    2012-01-01

    Purpose: This article examines two questions: (a) How does resource allocation change in school districts experiencing sustained charter school competition? (b) Among districts exposed to charter competition, are there differences in the resource allocation adjustments between those that do and do not succeed in stemming further enrollment loss to…

  10. Where Does the Money Go? Resource Allocation in Elementary and Secondary Education.

    ERIC Educational Resources Information Center

    Picus, Lawrence O., Ed.; Wattenbarger, James L., Ed.

    The 13 Chapters in this book address the important issue of how schools and school districts allocate their resources. The book summarizes the emerging research in educational resource allocations (tax dollars) at the district, school, and classroom levels. Following the preface by Lawrence O. Picus, the chapters include: (1) "Why Do We Need to…

  11. Complex Genetic Effects on Early Vegetative Development Shape Resource Allocation Differences Between Arabidopsis lyrata Populations

    PubMed Central

    Remington, David L.; Leinonen, Päivi H.; Leppälä, Johanna; Savolainen, Outi

    2013-01-01

    Costs of reproduction due to resource allocation trade-offs have long been recognized as key forces in life history evolution, but little is known about their functional or genetic basis. Arabidopsis lyrata, a perennial relative of the annual model plant A. thaliana with a wide climatic distribution, has populations that are strongly diverged in resource allocation. In this study, we evaluated the genetic and functional basis for variation in resource allocation in a reciprocal transplant experiment, using four A. lyrata populations and F2 progeny from a cross between North Carolina (NC) and Norway parents, which had the most divergent resource allocation patterns. Local alleles at quantitative trait loci (QTL) at a North Carolina field site increased reproductive output while reducing vegetative growth. These QTL had little overlap with flowering date QTL. Structural equation models incorporating QTL genotypes and traits indicated that resource allocation differences result primarily from QTL effects on early vegetative growth patterns, with cascading effects on later vegetative and reproductive development. At a Norway field site, North Carolina alleles at some of the same QTL regions reduced survival and reproductive output components, but these effects were not associated with resource allocation trade-offs in the Norway environment. Our results indicate that resource allocation in perennial plants may involve important adaptive mechanisms largely independent of flowering time. Moreover, the contributions of resource allocation QTL to local adaptation appear to result from their effects on developmental timing and its interaction with environmental constraints, and not from simple models of reproductive costs. PMID:23979581

  12. Intelligence Level and the Allocation of Resources for Creative Tasks: A Pupillometry Study

    ERIC Educational Resources Information Center

    Ojha, Amitash; Indurkhya, Bipin; Lee, Minho

    2017-01-01

    This pupillometry study examined the relationship between intelligence and creative cognition from the resource allocation perspective. It was hypothesized that, during a creative metaphor task, individuals with higher intelligence scores would have different resource allocation patterns than individuals with lower intelligence scores. The study…

  13. Resource expenditure not resource allocation: response to McDougall on cloning and dignity.

    PubMed

    Williams, M J

    2009-05-01

    This paper offers some comments on bioethical debates about resource allocation in healthcare. It is stimulated by Rosalind McDougall's argument that it is an affront to the human dignity of people with below "liberties-level" health to fund human reproductive cloning. McDougall is right to underline the relevance of resource prioritisation to the ethics of research and provision of new biomedical technologies. This paper argues that bioethicists should be careful when offering comments about such issues. In particular, it emphasises the need to represent accurately the reality of the situation-especially when we are passing judgement on technologies that are in their infancy and whose practical application is yet to be confirmed. The paper also emphasises the importance of the actual context to bioethical debate, and note that it would be better to talk about resource expenditure rather than resource allocation when it comes to discussing the rights and wrongs of how money is spent. It also reiterates the claims made by other writers that social and political philosophy need to have a transparent and considered role in debates about resources.

  14. Optimal resource allocation enables mathematical exploration of microbial metabolic configurations.

    PubMed

    Tournier, Laurent; Goelzer, Anne; Fromion, Vincent

    2017-03-30

    Central to the functioning of any living cell, the metabolic network is a complex network of biochemical reactions. It may also be viewed as an elaborate production system, integrating a diversity of internal and external signals in order to efficiently produce the energy and the biochemical precursors to ensure all cellular functions. Even in simple organisms like bacteria, it shows a striking level of coordination, adapting to very different growth media. Constraint-based models constitute an efficient mathematical framework to compute optimal metabolic configurations, at the scale of a whole genome. Combining the constraint-based approach "Resource Balance Analysis" with combinatorial optimization techniques, we propose a general method to explore these configurations, based on the inference of logical rules governing the activation of metabolic fluxes in response to diverse extracellular media. Using the concept of partial Boolean functions, we notably introduce a novel tractable algorithm to infer monotone Boolean functions on a minimal support. Monotonicity seems particularly relevant in this context, since the orderliness exhibited by the metabolic network's dynamical behavior is expected to give rise to relatively simple rules. First results are promising, as the application of the method on Bacillus subtilis central carbon metabolism allows to recover known regulations as well as to investigate lesser known parts of the global regulatory network.

  15. Evidence-based medicine: a new tool for resource allocation?

    PubMed

    Nunes, Rui

    2003-01-01

    Evidence-Based Medicine (EBM) is defined as the conscious, and judicious use of current best evidence in making decisions about the care of individual patients. The greater the level of evidence the greater the grade of recommendation. This pioneering explicit concept of EBM is embedded in a particular view of medical practice namely the singular nature of the patient-physician relation and the commitment of the latter towards a specific goal: the treatment and the well being of his or her client. Nevertheless, in many European countries as well as in the United States, this "integration of the best evidence from systematic research with clinical expertise and patient values" appears to be re-interpreted in light of the scarcity of healthcare resources. The purpose of this paper is double. First, to claim that from an ethical perspective EBM should be a guideline to clinical practice; and second, that in specific circumstances EBM might be a useful tool in macro-allocation of healthcare resources. Methodologically the author follows Norman Daniels' theory of "democratic accountability" to justify this assumption. That is, choices in healthcare must be accountable by democratic procedures. This perspective of distributive justice is responsible for the scope and limits of healthcare services. It follows that particular entitlements to healthcare--namely expensive innovative treatments and medicines--may be fairly restricted as long as this decision is socially and democratically accountable and imposed by financial restrictions of the system. In conclusion, the implementation of EBM, as long as it limits the access to drugs and treatments of unproven scientific results is in accordance with this perspective. The use of EBM is regarded as an instrument to facilitate the access of all citizens to a reasonable level of healthcare and to promote the efficiency of the system.

  16. How do people learn to allocate resources? Comparing two learning theories.

    PubMed

    Rieskamp, Jörg; Busemeyer, Jerome R; Laine, Tei

    2003-11-01

    How do people learn to allocate resources? To answer this question, 2 major learning models are compared, each incorporating different learning principles. One is a global search model, which assumes that allocations are made probabilistically on the basis of expectations formed through the entire history of past decisions. The 2nd is a local adaptation model, which assumes that allocations are made by comparing the present decision with the most successful decision up to that point, ignoring all other past decisions. In 2 studies, participants repeatedly allocated a capital resource to 3 financial assets. Substantial learning effects occurred, although the optimal allocation was often not found. From the calibrated models of Study 1, a priori predictions were derived and tested in Study 2. This generalization test shows that the local adaptation model provides a better account of learning in resource allocations than the global search model.

  17. Hybrid Resource Allocation Scheme with Proportional Fairness in OFDMA-Based Cognitive Radio Systems

    NASA Astrophysics Data System (ADS)

    Li, Li; Xu, Changqing; Fan, Pingzhi; He, Jian

    In this paper, the resource allocation problem for proportional fairness in hybrid Cognitive Radio (CR) systems is studied. In OFDMA-based CR systems, traditional resource allocation algorithms can not guarantee proportional rates among CR users (CRU) in each OFDM symbol because the number of available subchannels might be smaller than that of CRUs in some OFDM symbols. To deal with this time-varying nature of available spectrum resource, a hybrid CR scheme in which CRUs are allowed to use subchannels in both spectrum holes and primary users (PU) bands is adopted and a resource allocation algorithm is proposed to guarantee proportional rates among CRUs with no undue interference to PUs.

  18. Research of water resources allocation of South-to-North Water Diversion East Route Project in Jiangsu Province ,Eastern China

    NASA Astrophysics Data System (ADS)

    Zeng, C.

    2015-12-01

    Optimized allocation of water resources is the important means of solving regional water shortage and can improve the utilization of water resources. Water resources allocation in the large-scale water diversion project area is the current research focus. This research takes the east route of the South-to-North Water Transfer Project in Jiangsu province as the research area, based on the hydrological model, agricultural irrigation quota model, and water project scheduling model, a water resources allocation model was constructed. The research carried on generalized regional water supply network, simulated the water supply, water demand and water deficit in agriculture, industry, life, ecology and lock under the status quo and planning engineering conditions. According to the results, the east route of the South-to-North Water Transfer Project is helpful to improve regional water shortage situation. The results showed that pump output increase by 2.8 billion cubic meters of water. On the conditions of P = 95%, 75% and 50%, compared with the benchmark year, water demand increases slightly due to the need of social and economic development in planning years, and water supply increased significantly because of new diversion ability. Water deficit are greatly reduced by 74.9% especially in the commonly drought condition because of the new project operation and optimized allocation of water resources.

  19. Robust allocation of weighted dependency links in cyber-physical networks

    NASA Astrophysics Data System (ADS)

    Li, Xin; Wu, Haotian; Scoglio, Caterina; Gruenbacher, Don

    2015-09-01

    Interdependent network models are often used to show how one network has an effect on another network through dependencies. In this paper, we propose a novel interdependent network model which consists of two individual networks with unequal numbers of nodes and one-to-multiple weighted dependency links between the two networks. Based on realistic assumptions, this model differs from previous works that considered equal numbers of nodes in the two networks and identical dependency links. We formulate an optimization problem to allocate dependency links using least resources. This novel model enhances the practicability of traditional cyber-physical system structures, but it makes the dependency link deployment problem more complex and the optimization problem cannot be solved in large networks. To overcome this problem, we propose a new algorithm based on a revised network flow method. Extensive simulations on random networks and real networks show that our deployment method produces topologies that are more robust than the ones obtained by other deployment techniques. Results indicate that our algorithm is efficient and cost-effective in designing robust interdependent networks, and our deployment method is suitable for networks of any size.

  20. The past, present and future of HIV, AIDS and resource allocation

    PubMed Central

    2009-01-01

    Background How should HIV and AIDS resources be allocated to achieve the greatest possible impact? This paper begins with a theoretical discussion of this issue, describing the key elements of an "evidence-based allocation strategy". While it is noted that the quality of epidemiological and economic data remains inadequate to define such an optimal strategy, there do exist tools and research which can lead countries in a way that they can make allocation decisions. Furthermore, there are clear indications that most countries are not allocating their HIV and AIDS resources in a way which is likely to achieve the greatest possible impact. For example, it is noted that neighboring countries, even when they have a similar prevalence of HIV, nonetheless often allocate their resources in radically different ways. These differing allocation patterns appear to be attributable to a number of different issues, including a lack of data, contradictory results in existing data, a need for overemphasizing a multisectoral response, a lack of political will, a general inefficiency in the use of resources when they do get allocated, poor planning and a lack of control over the way resources get allocated. Methods There are a number of tools currently available which can improve the resource-allocation process. Tools such as the Resource Needs Model (RNM) can provide policymakers with a clearer idea of resource requirements, whereas other tools such as Goals and the Allocation by Cost-Effectiveness (ABCE) models can provide countries with a clearer vision of how they might reallocate funds. Results Examples from nine different countries provide information about how policymakers are trying to make their resource-allocation strategies more "evidence based". By identifying the challenges and successes of these nine countries in making more informed allocation decisions, it is hoped that future resource-allocation decisions for all countries can be improved. Conclusion We discuss the

  1. Optimal allocation of computational resources in hydrogeological models under uncertainty

    NASA Astrophysics Data System (ADS)

    Moslehi, Mahsa; Rajagopal, Ram; de Barros, Felipe P. J.

    2015-09-01

    Flow and transport models in heterogeneous geological formations are usually large-scale with excessive computational complexity and uncertain characteristics. Uncertainty quantification for predicting subsurface flow and transport often entails utilizing a numerical Monte Carlo framework, which repeatedly simulates the model according to a random field parameter representing hydrogeological characteristics of the aquifer. The physical resolution (e.g. spatial grid resolution) for the simulation is customarily chosen based on recommendations in the literature, independent of the number of Monte Carlo realizations. This practice may lead to either excessive computational burden or inaccurate solutions. We develop an optimization-based methodology that considers the trade-off between the following conflicting objectives: time associated with computational costs, statistical convergence of the model prediction and physical errors corresponding to numerical grid resolution. Computational resources are allocated by considering the overall error based on a joint statistical-numerical analysis and optimizing the error model subject to a given computational constraint. The derived expression for the overall error explicitly takes into account the joint dependence between the discretization error of the physical space and the statistical error associated with Monte Carlo realizations. The performance of the framework is tested against computationally extensive simulations of flow and transport in spatially heterogeneous aquifers. Results show that modelers can achieve optimum physical and statistical resolutions while keeping a minimum error for a given computational time. The physical and statistical resolutions obtained through our analysis yield lower computational costs when compared to the results obtained with prevalent recommendations in the literature. Lastly, we highlight the significance of the geometrical characteristics of the contaminant source zone on the

  2. Adversarial reasoning and resource allocation: the LG approach

    NASA Astrophysics Data System (ADS)

    Stilman, Boris; Yakhnis, Vladimir; Umanskiy, Oleg; Boyd, Ron

    2005-05-01

    Many existing automated tools purporting to model the intelligent enemy utilize a fixed battle plan for the enemy while using flexible decisions of human players for the friendly side. According to the Naval Studies Board, "It is an open secret and a point of distress ... that too much of the substantive content of such M&S has its origin in anecdote, ..., or a narrow construction tied to stereotypical current practices of 'doctrinally correct behavior.'" Clearly, such runs lack objectivity by being heavily skewed in favor of the friendly forces. Presently, the military branches employ a variety of game-based simulators and synthetic environments, with manual (i.e., user-based) decision-making, for training and other purposes. However, without an ability to automatically generate the best strategies, tactics, and COA, the games serve mostly to display the current situation rather than form a basis for automated decision-making and effective training. We solve the problem of adversarial reasoning as a gaming problem employing Linguistic Geometry (LG), a new type of game theory demonstrating significant increase in size in gaming problems solvable in real and near-real time. It appears to be a viable approach for solving such practical problems as mission planning and battle management. Essentially, LG may be structured into two layers: game construction and game solving. Game construction includes construction of a game called an LG hypergame based on a hierarchy of Abstract Board Games (ABG). Game solving includes resource allocation for constructing an advantageous initial game state and strategy generation to reach a desirable final game state in the course of the game.

  3. Branching habit and the allocation of reproductive resources in conifers

    PubMed Central

    Leslie, Andrew B.

    2012-01-01

    Background and Aims Correlated relationships between branch thickness, branch density, and twig and leaf size have been used extensively to study the evolution of plant canopy architecture, but fewer studies have explored the impact of these relationships on the allocation of reproductive resources. This study quantifies pollen cone production in conifers, which have similar basic reproductive biology but vary dramatically in branching habit, in order to test how differences in branch diameter influence pollen cone size and the density with which they are deployed in the canopy. Methods Measurements of canopy branch density, the number of cones per branch and cone size were used to estimate the amount of pollen cone tissues produced by 16 species in three major conifer clades. The number of pollen grains produced was also estimated using direct counts from individual pollen cones. Key Results The total amount of pollen cone tissues in the conifer canopy varied little among species and clades, although vegetative traits such as branch thickness, branch density and pollen cone size varied over several orders of magnitude. However, branching habit controls the way these tissues are deployed: taxa with small branches produce small pollen cones at a high density, while taxa with large branches produce large cones relatively sparsely. Conclusions Conifers appear to invest similar amounts of energy in pollen production independent of branching habit. However, similar associations between branch thickness, branch density and pollen cone size are seen across conifers, including members of living and extinct groups not directly studied here. This suggests that reproductive features relating to pollen cone size are in large part a function of the evolution of vegetative morphology and branching habit. PMID:22782240

  4. A survey on resource allocation in high performance distributed computing systems

    SciTech Connect

    Hussain, Hameed; Malik, Saif Ur Rehman; Hameed, Abdul; Khan, Samee Ullah; Bickler, Gage; Min-Allah, Nasro; Qureshi, Muhammad Bilal; Zhang, Limin; Yongji, Wang; Ghani, Nasir; Kolodziej, Joanna; Zomaya, Albert Y.; Xu, Cheng-Zhong; Balaji, Pavan; Vishnu, Abhinav; Pinel, Fredric; Pecero, Johnatan E.; Kliazovich, Dzmitry; Bouvry, Pascal; Li, Hongxiang; Wang, Lizhe; Chen, Dan; Rayes, Ammar

    2013-11-01

    An efficient resource allocation is a fundamental requirement in high performance computing (HPC) systems. Many projects are dedicated to large-scale distributed computing systems that have designed and developed resource allocation mechanisms with a variety of architectures and services. In our study, through analysis, a comprehensive survey for describing resource allocation in various HPCs is reported. The aim of the work is to aggregate under a joint framework, the existing solutions for HPC to provide a thorough analysis and characteristics of the resource management and allocation strategies. Resource allocation mechanisms and strategies play a vital role towards the performance improvement of all the HPCs classifications. Therefore, a comprehensive discussion of widely used resource allocation strategies deployed in HPC environment is required, which is one of the motivations of this survey. Moreover, we have classified the HPC systems into three broad categories, namely: (a) cluster, (b) grid, and (c) cloud systems and define the characteristics of each class by extracting sets of common attributes. All of the aforementioned systems are cataloged into pure software and hybrid/hardware solutions. The system classification is used to identify approaches followed by the implementation of existing resource allocation strategies that are widely presented in the literature.

  5. Stochastic resource allocation in emergency departments with a multi-objective simulation optimization algorithm.

    PubMed

    Feng, Yen-Yi; Wu, I-Chin; Chen, Tzu-Li

    2017-03-01

    The number of emergency cases or emergency room visits rapidly increases annually, thus leading to an imbalance in supply and demand and to the long-term overcrowding of hospital emergency departments (EDs). However, current solutions to increase medical resources and improve the handling of patient needs are either impractical or infeasible in the Taiwanese environment. Therefore, EDs must optimize resource allocation given limited medical resources to minimize the average length of stay of patients and medical resource waste costs. This study constructs a multi-objective mathematical model for medical resource allocation in EDs in accordance with emergency flow or procedure. The proposed mathematical model is complex and difficult to solve because its performance value is stochastic; furthermore, the model considers both objectives simultaneously. Thus, this study develops a multi-objective simulation optimization algorithm by integrating a non-dominated sorting genetic algorithm II (NSGA II) with multi-objective computing budget allocation (MOCBA) to address the challenges of multi-objective medical resource allocation. NSGA II is used to investigate plausible solutions for medical resource allocation, and MOCBA identifies effective sets of feasible Pareto (non-dominated) medical resource allocation solutions in addition to effectively allocating simulation or computation budgets. The discrete event simulation model of ED flow is inspired by a Taiwan hospital case and is constructed to estimate the expected performance values of each medical allocation solution as obtained through NSGA II. Finally, computational experiments are performed to verify the effectiveness and performance of the integrated NSGA II and MOCBA method, as well as to derive non-dominated medical resource allocation solutions from the algorithms.

  6. Low-Earth-Orbiter resource allocation and capacity planning for the DSN using LEO4CAST

    NASA Technical Reports Server (NTRS)

    Fox, G.; Borden, C.

    1994-01-01

    The Deep Space Network provides tracking and communication services for a number of U.S. and international low-Earth-orbiting (LEO) and near-Earth missions. This service is supplied by the 26-m subnet (located at each of the DSN complexes), the 9-m and the 34-m Antenna Research System antennas at Goldstone, and the 11-m antennas (following the orbital VLBI mission). An increasing number of LEO missions are planned for DSN support, which will result in increasingly complex ground resource allocation and mission support trades. To support TDA decision making on mission support and cost-effective ground system evolution for this 26-m subnet, LEO4CAST has been developed. LEO4CAST is a tool that uses statistical approaches to provide useful information for long-term ground system capacity planning and near-term resource allocation (prior to detailed time-of-day scheduling). LEO4CAST is currently beta-test software and is being exercised by both the Office of Telecommunications and Data Acquisition (TDA) and the JPL Systems Division.

  7. Strategic costs and preferences revelation in the allocation of resources for health care.

    PubMed

    Levaggi, Laura; Levaggi, Rosella

    2010-09-01

    This article examines the resources allocation process in the internal market for health care in an environment characterised by asymmetry of information. We analyse the strategic behaviour of the provider and show how, by misreporting its cost function and reservation utility, it might shift the allocation of resources away from the purchaser's objectives. Although the fundamental importance of equity, efficiency and risk aversion considerations which have been the traditional focus of the literature on allocation of resources should not be denied, this paper shows that contracts and internal markets are not neutral instruments and more research should be devoted to studying their effects.

  8. Measuring health indicators and allocating health resources: a DEA-based approach.

    PubMed

    Yang, Chih-Ching

    2016-02-03

    This paper suggests new empirical DEA models for the measurement of health indicators and the allocation of health resources. The proposed models were developed by first suggesting a population-based health indicator. By introducing the suggested indicator into DEA models, a new approach that solves the problem of health resource allocation has been developed. The proposed models are applied to an empirical study of Taiwan's health system. Empirical findings show that the suggested indicator can successfully accommodate the differences in health resource demands between populations, providing more reliable performance information than traditional indicators such as physician density. Using our models and a commonly used allocation mechanism, capitation, to allocate medical expenditures, it is found that the proposed model always obtains higher performance than those derived from capitation, and the superiority increases as allocated expenditures rise.

  9. Pricing resources in LTE networks through multiobjective optimization.

    PubMed

    Lai, Yung-Liang; Jiang, Jehn-Ruey

    2014-01-01

    The LTE technology offers versatile mobile services that use different numbers of resources. This enables operators to provide subscribers or users with differential quality of service (QoS) to boost their satisfaction. On one hand, LTE operators need to price the resources high for maximizing their profits. On the other hand, pricing also needs to consider user satisfaction with allocated resources and prices to avoid "user churn," which means subscribers will unsubscribe services due to dissatisfaction with allocated resources or prices. In this paper, we study the pricing resources with profits and satisfaction optimization (PRPSO) problem in the LTE networks, considering the operator profit and subscribers' satisfaction at the same time. The problem is modelled as nonlinear multiobjective optimization with two optimal objectives: (1) maximizing operator profit and (2) maximizing user satisfaction. We propose to solve the problem based on the framework of the NSGA-II. Simulations are conducted for evaluating the proposed solution.

  10. Network resources for astronomers

    NASA Astrophysics Data System (ADS)

    Andernach, H.; Hanisch, Robert J.; Murtagh, F.

    1994-11-01

    The amount of data produced by large observational facilities and space missions has led to the archiving and on-line accessibility of much of these data, available to the entire astronomical community. This allows a much wider multifrequency approach to astronomical research than previously possible. Here we provide an overview of these services, and give a basic description of their contents and possibilities for accessing them. Apart from services providing observational data, many of those providing general information, e.g., on addresses, bibliographies, software, etc., are also described. The field is rapidly growing with improved network technology, and out attempt to keep the report as complete and up-to-date as possible will inevitably be outdated shortly. We will endeavor to maintain an updated version of this document on-line.

  11. Resource Allocation Within Universities. Occasional Paper 3. SDU Staff Development in Universities Programme.

    ERIC Educational Resources Information Center

    Orton, F. J.

    Resource allocation in universities is analyzed based on economic theory and a theory of organizational behavior in universities. Basic methods of reaching decisions regarding allocation are intuition and numbers and combinations of the two. The intuitive method assumes a university committee can judge its needs. The numerical method employs a…

  12. Societal Duty and Resource Allocation for Persons with Severe Traumatic Brain Injury.

    ERIC Educational Resources Information Center

    DeJong, Gerben; Batavia, Andrew I.

    1989-01-01

    The article considers eight values and factors that enter into decisions regarding resource allocation for persons with brain injury including the quality of life, moral culpability of the brain-injured person, the social contribution of the person, allocation of family and societal responsibilities, justice, the nature of health care, and…

  13. Regional Disparities in the Allocation of China's Higher Education Resources from the Perspective of Equity

    ERIC Educational Resources Information Center

    Wei, Bao

    2012-01-01

    This article attempts to analyze the changing circumstances of the regional disparities in the allocation of China's higher educational resources before and after the increase in college enrollments, as well as the mechanisms that have affected these circumstances. The conclusions are that regional disparities in the allocation of China's funding…

  14. Channel allocation and load balancing in totally mobile wireless networks

    NASA Astrophysics Data System (ADS)

    Cui, Wei; Bassiouni, Mostafa A.

    2000-07-01

    Previous studies on totally mobile wireless networks (TMWN) have been limited to non-hierarchical architectures. In this paper, we study a two-tier cellular architecture for TMWN. Under the constraints of equal power consumption, the two tier system achieves improvement over the one-tier system, especially at light and medium load levels. Performance tests have also shown that handoff prioritization can be achieved by restricting the use of the umbrella channels. Further improvement for the two-tier system was obtained by load balancing strategies with respect to the allocation of channels to the different cells.

  15. Sources and resources: importance of nutrients, resource allocation, and ecology in microalgal cultivation for lipid accumulation.

    PubMed

    Fields, Matthew W; Hise, Adam; Lohman, Egan J; Bell, Tisza; Gardner, Rob D; Corredor, Luisa; Moll, Karen; Peyton, Brent M; Characklis, Gregory W; Gerlach, Robin

    2014-06-01

    Regardless of current market conditions and availability of conventional petroleum sources, alternatives are needed to circumvent future economic and environmental impacts from continued exploration and harvesting of conventional hydrocarbons. Diatoms and green algae (microalgae) are eukaryotic photoautotrophs that can utilize inorganic carbon (e.g., CO2) as a carbon source and sunlight as an energy source, and many microalgae can store carbon and energy in the form of neutral lipids. In addition to accumulating useful precursors for biofuels and chemical feed stocks, the use of autotrophic microorganisms can further contribute to reduced CO2 emissions through utilization of atmospheric CO2. Because of the inherent connection between carbon, nitrogen, and phosphorus in biological systems, macronutrient deprivation has been proven to significantly enhance lipid accumulation in different diatom and algae species. However, much work is needed to understand the link between carbon, nitrogen, and phosphorus in controlling resource allocation at different levels of biological resolution (cellular versus ecological). An improved understanding of the relationship between the effects of N, P, and micronutrient availability on carbon resource allocation (cell growth versus lipid storage) in microalgae is needed in conjunction with life cycle analysis. This mini-review will briefly discuss the current literature on the use of nutrient deprivation and other conditions to control and optimize microalgal growth in the context of cell and lipid accumulation for scale-up processes.

  16. Resource allocation patterns of two California-Sonoran desert ephemerals.

    PubMed

    Clark, D D; Burk, J H

    1980-07-01

    The patterns of allocation of structural and nonstructural carbon were followed in the co-occurring desert ephemerals Plantago insularis and Camissonia boothii. Patterns of biomass distribution were determined from material harvested at biweekly intervals as were levels of nonstructural sugar and starch. Seasonal patterns of growth and reproduction differed markedly with Plantago allocating significantly more structural and nonstructural carbon to reproduction early in the season. Plantago completed its life cycle in less than 60 days but Camissonia continued both vegetative and reproductive growth to over 100 days. The longer growing season of Camissonia was possible because more energy was allocated to vegetative tissues and storage presumably as investment toward longer life and higher levels of reproduction.

  17. Resource allocation in road infrastructure using ANP priorities with ZOGP formulation-A case study

    NASA Astrophysics Data System (ADS)

    Alias, Suriana; Adna, Norfarziah; Soid, Siti Khuzaimah; Kardri, Mahani

    2013-09-01

    Road Infrastructure (RI) project evaluation and selection is concern with the allocation of scarce organizational resources. In this paper, it is suggest an improved RI project selection methodology which reflects interdependencies among evaluation criteria and candidate projects. Fuzzy Delphi Method (FDM) is use to evoking expert group opinion and also to determine a degree of interdependences relationship between the alternative projects. In order to provide a systematic approach to set priorities among multi-criteria and trade-off among objectives, Analytic Network Process (ANP) is suggested to be applied prior to Zero-One Goal Programming (ZOGP) formulation. Specifically, this paper demonstrated how to combined FDM and ANP with ZOGP through a real-world RI empirical example on an ongoing decision-making project in Johor, Malaysia.

  18. Resource allocation and budgetary mechanisms for decentralized health systems: experiences from Balochistan, Pakistan.

    PubMed Central

    Green, A.; Ali, B.; Naeem, A.; Ross, D.

    2000-01-01

    This paper identifies key political and technical issues involved in the development of an appropriate resource allocation and budgetary system for the public health sector, using experience gained in the Province of Balochistan, Pakistan. The resource allocation and budgetary system is a critical, yet often neglected, component of any decentralization policy. Current systems are often based on historical incrementalism that is neither efficient nor equitable. This article describes technical work carried out in Balochistan to develop a system of resource allocation and budgeting that is needs-based, in line with policies of decentralization, and implementable within existing technical constraints. However, the development of technical systems, while necessary, is not a sufficient condition for the implementation of a resource allocation and decentralized budgeting system. This is illustrated by analysing the constraints that have been encountered in the development of such a system in Balochistan. PMID:10994286

  19. A Study on Resource Allocation with Buying Behaviour in B to B Commerce

    NASA Astrophysics Data System (ADS)

    Kaihara, Toshiya

    B to B commerce is an important research issue for increasing profitability in global market. A sophisticated B to B commerce requires optimality in resource allocation with human behaviour dynamism. A market-oriented programming calculates a Pareto-optimal resource allocation in the market by computing competitive equilibrium of an artificial economy. In this paper we newly propose a resource allocation algorithm based on market-oriented programming with consumers buying behaviour for B to B commerce. Supply agents in the computational market decide their supply plan by estimating the demand agents’ behaviour in this method. Careful constructions of the agents according to the buying behaviour can lead to efficient distributed resource allocation, and the behaviour of the agents can be analysed in economic terms.

  20. On System Engineering a Barter-Based Re-allocation of Space System Key Development Resources

    NASA Astrophysics Data System (ADS)

    Kosmann, William J.

    NASA has had a decades-long problem with cost growth during the development of space science missions. Numerous agency-sponsored studies have produced average mission level development cost growths ranging from 23 to 77%. A new study of 26 historical NASA science instrument set developments using expert judgment to re-allocate key development resources has an average cost growth of 73.77%. Twice in history, during the Cassini and EOS-Terra science instrument developments, a barter-based mechanism has been used to re-allocate key development resources. The mean instrument set development cost growth was -1.55%. Performing a bivariate inference on the means of these two distributions, there is statistical evidence to support the claim that using a barter-based mechanism to re-allocate key instrument development resources will result in a lower expected cost growth than using the expert judgment approach. Agent-based discrete event simulation is the natural way to model a trade environment. A NetLogo agent-based barter-based simulation of science instrument development was created. The agent-based model was validated against the Cassini historical example, as the starting and ending instrument development conditions are available. The resulting validated agent-based barter-based science instrument resource re-allocation simulation was used to perform 300 instrument development simulations, using barter to re-allocate development resources. The mean cost growth was -3.365%. A bivariate inference on the means was performed to determine that additional significant statistical evidence exists to support a claim that using barter-based resource re-allocation will result in lower expected cost growth, with respect to the historical expert judgment approach. Barter-based key development resource re-allocation should work on science spacecraft development as well as it has worked on science instrument development. A new study of 28 historical NASA science spacecraft

  1. Assessing system reliability and allocating resources: a bayesian approach that integrates multi-level data

    SciTech Connect

    Graves, Todd L; Hamada, Michael S

    2008-01-01

    Good estimates of the reliability of a system make use of test data and expert knowledge at all available levels. Furthermore, by integrating all these information sources, one can determine how best to allocate scarce testing resources to reduce uncertainty. Both of these goals are facilitated by modern Bayesian computational methods. We apply these tools to examples that were previously solvable only through the use of ingenious approximations, and use genetic algorithms to guide resource allocation.

  2. Description and Critique of Quantitative Methods for the Allocation of Exploratory Development Resources

    DTIC Science & Technology

    The paper analyzes ten methods for planning the allocation of resources among projects within the exploratory development category of the Defense...research, development, test and evaluation program. Each method is described in terms of a general framework of planning methods and of the factors that...influence the allocation of development resources. A comparative analysis is made of the relative strengths and weaknesses of these methods . The more

  3. Resource Allocation in Cooperative OFDMA Systems with Fairness Constraint

    NASA Astrophysics Data System (ADS)

    Li, Hongxing; Luo, Hanwen; Wang, Xinbing; Ding, Ming; Chen, Wen

    This letter investigates a subchannel and power allocation (SPA) algorithm which maximizes the throughput of a user under the constraints of total transmit power and fair subchannel occupation among relay nodes. The proposed algorithm reduces computational complexity from exponential to linear in the number of subchannels at the expense of a small performance loss.

  4. Elderly Care and Intrafamily Resource Allocation when Children Migrate

    ERIC Educational Resources Information Center

    Antman, Francisca M.

    2012-01-01

    This paper considers the intrafamily allocation of elderly care in the context of international migration where migrant children may be able to provide financial assistance to their parents but are unable to offer physical care. To investigate sibling interaction, I estimate best response functions for individual physical and financial…

  5. Biomass for biorefining: Resources, allocation, utilization, and policies

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The importance of biomass in the development of renewable energy, the availability and allocation of biomass, its preparation for use in biorefineries, and the policies affecting biomass are discussed in this chapter. Bioenergy development will depend on maximizing the amount of biomass obtained fro...

  6. Modeling the evolution of phenotypic plasticity in resource allocation in wing-dimorphic insects.

    PubMed

    King, Elizabeth G; Roff, Derek A

    2010-06-01

    In nature, resource availability varies spatially and temporally both within and across generations, leading to variation in the amount of energy available to individuals. The optimal allocation strategy can change, depending on the amount of resources available to allocate to life-history functions. If so, selection should favor the evolution of allocation strategies that can respond to variation in environmental resource levels. We address this issue by using two quantitative genetic simulation models in a model system for studying trade-offs, wing-dimorphic insects. Wing dimorphic insects typically exhibit a trade-off in the allocation of resources between migratory ability and reproduction. In our models, we focus on allocation as a genetic trait and model the evolution of phenotypic plasticity in this trait in response to spatiotemporal variation in resource availability. We show that the evolved allocation strategy depends on the predictability of resource levels across time. Specifically, selection favors higher investment in flight under poor conditions in predictable environments and lower investment in unpredictable environments.

  7. Dynamic Task Allocation in Multi-Hop Multimedia Wireless Sensor Networks with Low Mobility

    PubMed Central

    Jin, Yichao; Vural, Serdar; Gluhak, Alexander; Moessner, Klaus

    2013-01-01

    This paper presents a task allocation-oriented framework to enable efficient in-network processing and cost-effective multi-hop resource sharing for dynamic multi-hop multimedia wireless sensor networks with low node mobility, e.g., pedestrian speeds. The proposed system incorporates a fast task reallocation algorithm to quickly recover from possible network service disruptions, such as node or link failures. An evolutional self-learning mechanism based on a genetic algorithm continuously adapts the system parameters in order to meet the desired application delay requirements, while also achieving a sufficiently long network lifetime. Since the algorithm runtime incurs considerable time delay while updating task assignments, we introduce an adaptive window size to limit the delay periods and ensure an up-to-date solution based on node mobility patterns and device processing capabilities. To the best of our knowledge, this is the first study that yields multi-objective task allocation in a mobile multi-hop wireless environment under dynamic conditions. Simulations are performed in various settings, and the results show considerable performance improvement in extending network lifetime compared to heuristic mechanisms. Furthermore, the proposed framework provides noticeable reduction in the frequency of missing application deadlines. PMID:24135992

  8. Dynamic task allocation in multi-hop multimedia wireless sensor networks with low mobility.

    PubMed

    Jin, Yichao; Vural, Serdar; Gluhak, Alexander; Moessner, Klaus

    2013-10-16

    This paper presents a task allocation-oriented framework to enable efficient in-network processing and cost-effective multi-hop resource sharing for dynamic multi-hop multimedia wireless sensor networks with low node mobility, e.g., pedestrian speeds. The proposed system incorporates a fast task reallocation algorithm to quickly recover from possible network service disruptions, such as node or link failures. An evolutional self-learning mechanism based on a genetic algorithm continuously adapts the system parameters in order to meet the desired application delay requirements, while also achieving a sufficiently long network lifetime. Since the algorithm runtime incurs considerable time delay while updating task assignments, we introduce an adaptive window size to limit the delay periods and ensure an up-to-date solution based on node mobility patterns and device processing capabilities. To the best of our knowledge, this is the first study that yields multi-objective task allocation in a mobile multi-hop wireless environment under dynamic conditions. Simulations are performed in various settings, and the results show considerable performance improvement in extending network lifetime compared to heuristic mechanisms. Furthermore, the proposed framework provides noticeable reduction in the frequency of missing application deadlines.

  9. Computationally Efficient Power Allocation Algorithm in Multicarrier-Based Cognitive Radio Networks: OFDM and FBMC Systems

    NASA Astrophysics Data System (ADS)

    Shaat, Musbah; Bader, Faouzi

    2010-12-01

    Cognitive Radio (CR) systems have been proposed to increase the spectrum utilization by opportunistically access the unused spectrum. Multicarrier communication systems are promising candidates for CR systems. Due to its high spectral efficiency, filter bank multicarrier (FBMC) can be considered as an alternative to conventional orthogonal frequency division multiplexing (OFDM) for transmission over the CR networks. This paper addresses the problem of resource allocation in multicarrier-based CR networks. The objective is to maximize the downlink capacity of the network under both total power and interference introduced to the primary users (PUs) constraints. The optimal solution has high computational complexity which makes it unsuitable for practical applications and hence a low complexity suboptimal solution is proposed. The proposed algorithm utilizes the spectrum holes in PUs bands as well as active PU bands. The performance of the proposed algorithm is investigated for OFDM and FBMC based CR systems. Simulation results illustrate that the proposed resource allocation algorithm with low computational complexity achieves near optimal performance and proves the efficiency of using FBMC in CR context.

  10. Resource Allocation in Healthcare: Implications of Models of Medicine as a Profession

    PubMed Central

    Kluge, Eike-Henner W.

    2007-01-01

    For decades, the problem of how to allocate healthcare resources in a just and equitable fashion has been the subject of concerted discussion and analysis, yet the issue has stubbornly resisted resolution. This article suggests that a major reason for this is that the discussion has focused exclusively on the nature and status of the material resources, and that the nature and role of the medical profession have been entirely ignored. Because physicians are gatekeepers to healthcare resources, their role in allocation is central from a process perspective. This article identifies 3 distinct interpretations of the nature of medicine, shows how each mandates a different method of allocation, and argues that unless an appropriate model of medicine is developed that acknowledges the valid points contained in each of the 3 approaches, the allocation problem will remain unsolvable. PMID:17435657

  11. Diversity in computing technologies and strategies for dynamic resource allocation

    DOE PAGES

    Garzoglio, G.; Gutsche, O.

    2015-12-23

    Here, High Energy Physics (HEP) is a very data intensive and trivially parallelizable science discipline. HEP is probing nature at increasingly finer details requiring ever increasing computational resources to process and analyze experimental data. In this paper, we discuss how HEP provisioned resources so far using Grid technologies, how HEP is starting to include new resource providers like commercial Clouds and HPC installations, and how HEP is transparently provisioning resources at these diverse providers.

  12. Overhead-Aware-Best-Fit (OABF) Resource Allocation Algorithm for Minimizing VM Launching Overhead

    SciTech Connect

    Wu, Hao; Garzoglio, Gabriele; Ren, Shangping; Timm, Steven; Noh, Seo Young

    2014-11-11

    FermiCloud is a private cloud developed in Fermi National Accelerator Laboratory to provide elastic and on-demand resources for different scientific research experiments. The design goal of the FermiCloud is to automatically allocate resources for different scientific applications so that the QoS required by these applications is met and the operational cost of the FermiCloud is minimized. Our earlier research shows that VM launching overhead has large variations. If such variations are not taken into consideration when making resource allocation decisions, it may lead to poor performance and resource waste. In this paper, we show how we may use an VM launching overhead reference model to minimize VM launching overhead. In particular, we first present a training algorithm that automatically tunes a given refer- ence model to accurately reflect FermiCloud environment. Based on the tuned reference model for virtual machine launching overhead, we develop an overhead-aware-best-fit resource allocation algorithm that decides where and when to allocate resources so that the average virtual machine launching overhead is minimized. The experimental results indicate that the developed overhead-aware-best-fit resource allocation algorithm can significantly improved the VM launching time when large number of VMs are simultaneously launched.

  13. MDP-based resource allocation for triple-play transmission on xDSL systems

    NASA Astrophysics Data System (ADS)

    de Souza, Lamartine V.; de Carvalho, Glaucio H. S.; Cardoso, Diego L.; de Carvalho, Solon V.; Frances, Carlos R. L.; Costa, João C. W. A.; Riu, Jaume Rius i.

    2007-09-01

    Many broadband services are based on multimedia applications, such as voice over internet protocol (VoIP), video conferencing, video on demand (VoD), and internet protocol television (IPTV). The combination "triple-play" is often used with IPTV. It simply means offering voice, video and data. IPTV and others services uses digital broadband networks such as ADSL2+ (Asymmetric Digital Subscriber Line) and VDSL (Very High Rate DSL) to transmit the data. We have formulated a MDP (Markov Decision Process) for a triple-play transmission on DSL environment. In this paper, we establish the relationship between DSL transmission characteristics and its finite-state Markov model for a triple-play transmission system. This relationship can be used for a resource management for multimedia applications delivered through a broadband infrastructure. The solution to our optimization problem can be found using dynamic programming (DP) techniques, such as value iteration and its variants. Our study results in a transmission strategy that chooses the optimal resource allocation according the triple-play traffic requirements, defined in technical report TR-126 (Triple-Play Services Quality of Experience Requirements) from DSL Forum, minimizing quality of service (QoS) violations with respect to bandwidth. Three traffic classes (video, audio, and best effort internet data) are defined and analyzed. Our simulation results show parameters like as blocking probability for each class, link utilization and optimal control policies. The MDP-based approach provides a satisfactory way of resource management for a DSL system.

  14. Suggestions to ameliorate the inequity in urban/rural allocation of healthcare resources in China

    PubMed Central

    2014-01-01

    The imbalance in the allocation in healthcare resources between urban and rural areas has become a main focus of the recent medical reforms adopted in China. However, systematic analysis has identified wide differences in the allocation of healthcare resources between urban and rural areas, including healthcare expenditures and the number of healthcare facilities, available beds, and personnel. Therefore, the aim of this report was to identify ethical considerations in current governmental policies to rectify existing problems in the distribution of healthcare resources. Our findings indicate that the inequality in the distribution of healthcare resources does not adhere to ethical standards and the policies are flawed because they give rise to differences in the availability of medical care to urban and rural communities. To optimize the allocation of medical healthcare resources, countermeasures are proposed to formulate policies to urge the flow of public healthcare resources to rural areas, strengthen the responsibilities of both governmental and public financial investments, increase the construction of public healthcare facilities in rural areas, promote the quality of healthcare resources, adjust resource allocations to rural public healthcare facilities, and improve resource utilization efficiency by establishing two-way referral mechanisms. PMID:24884614

  15. Suggestions to ameliorate the inequity in urban/rural allocation of healthcare resources in China.

    PubMed

    Chen, Yiyi; Yin, Zhou; Xie, Qiong

    2014-05-01

    The imbalance in the allocation in healthcare resources between urban and rural areas has become a main focus of the recent medical reforms adopted in China. However, systematic analysis has identified wide differences in the allocation of healthcare resources between urban and rural areas, including healthcare expenditures and the number of healthcare facilities, available beds, and personnel. Therefore, the aim of this report was to identify ethical considerations in current governmental policies to rectify existing problems in the distribution of healthcare resources. Our findings indicate that the inequality in the distribution of healthcare resources does not adhere to ethical standards and the policies are flawed because they give rise to differences in the availability of medical care to urban and rural communities. To optimize the allocation of medical healthcare resources, countermeasures are proposed to formulate policies to urge the flow of public healthcare resources to rural areas, strengthen the responsibilities of both governmental and public financial investments, increase the construction of public healthcare facilities in rural areas, promote the quality of healthcare resources, adjust resource allocations to rural public healthcare facilities, and improve resource utilization efficiency by establishing two-way referral mechanisms.

  16. Differential response to copper stress in the reproductive resources and allocation of metallophyte Kummerowia stipulacea.

    PubMed

    Gan, Jin-hua; Xiong, Zhi-Ting; Li, Jin-Ping; Chen, Da-Qing

    2013-03-01

    Abundant seed production is a key life history trait for plant to maintain the stability of the whole population in adverse environments such as heavy metal contaminated mine area. In the current studies, we hypothesize that mine (metallicolous) populations of metallophytes have formed specialized reproductive strategies to adapt themselves to the heavy metal contaminated habitats, and differ from normal (non-metallicolous) populations in reproductive allocation. To test this hypothesis, the differences in reproductive resources and reproductive allocation between the copper mine and non-copper mine populations of pseudo-metallophyte Kummerowia stipulacea were comparatively examined under controlled Cu exposure experiments. Compared to non-copper mine population, copper mine population shows an increased seed output and larger reproductive effort under Cu stress. The increase of reproductive allocation in metallicolous population depends on not only seed size but also seed number per plant. The plants of metallicolous population increase allocation to the reproductive organs at the expense of a curtailment of allocation to vegetative traits, resulting in plants with shorter height and fewer branch numbers. There is little evidence displaying effect of root nodule on the reproductive resources and allocation. In addition, plants in metallicolous population reduce the transfer of Cu from roots to aboveground parts. These data suggest that plants of metallicolous population tend to invest more resources to reproductive output and increase their reproductive allocation in the adaptive evolution to Cu-enriched mine soils.

  17. From Theory to Practice: Implementation of a Resource Allocation Model in Health Departments

    PubMed Central

    Yaylali, Emine; Farnham, Paul G.; Schneider, Karen L.; Landers, Stewart J.; Kouzouian, Oskian; Lasry, Arielle; Purcell, David W.; Green, Timothy A.; Sansom, Stephanie L.

    2016-01-01

    Objective To develop a resource allocation model to optimize health departments’ Centers for Disease Control and Prevention (CDC)–funded HIV prevention budgets to prevent the most new cases of HIV infection and to evaluate the model’s implementation in 4 health departments. Design, Settings, and Participants We developed a linear programming model combined with a Bernoulli process model that allocated a fixed budget among HIV prevention interventions and risk subpopulations to maximize the number of new infections prevented. The model, which required epidemiologic, behavioral, budgetary, and programmatic data, was implemented in health departments in Philadelphia, Chicago, Alabama, and Nebraska. Main Outcome Measures The optimal allocation of funds, the site-specific cost per case of HIV infection prevented rankings by intervention, and the expected number of HIV cases prevented. Results The model suggested allocating funds to HIV testing and continuum-of-care interventions in all 4 health departments. The most cost-effective intervention for all sites was HIV testing in nonclinical settings for men who have sex with men, and the least cost-effective interventions were behavioral interventions for HIV-negative persons. The pilot sites required 3 to 4 months of technical assistance to develop data inputs and generate and interpret the results. Although the sites found the model easy to use in providing quantitative evidence for allocating HIV prevention resources, they criticized the exclusion of structural interventions and the use of the model to allocate only CDC funds. Conclusions Resource allocation models have the potential to improve the allocation of limited HIV prevention resources and can be used as a decision-making guide for state and local health departments. Using such models may require substantial staff time and technical assistance. These model results emphasize the allocation of CDC funds toward testing and continuum-of-care interventions and

  18. Speaking truth to power: the effect of candid feedback on how individuals with power allocate resources.

    PubMed

    Oc, Burak; Bashshur, Michael R; Moore, Celia

    2015-03-01

    Subordinates are often seen as impotent, able to react to but not affect how powerholders treat them. Instead, we conceptualize subordinate feedback as an important trigger of powerholders' behavioral self-regulation and explore subordinates' reciprocal influence on how powerholders allocate resources to them over time. In 2 experiments using a multiparty, multiround dictator game paradigm, we found that when subordinates provided candid feedback about whether they found prior allocations to be fair or unfair, powerholders regulated how self-interested their allocations were over time. However, when subordinates provided compliant feedback about powerholders' prior allocation decisions (offered consistently positive feedback, regardless of the powerholders' prior allocation), those powerholders made increasingly self-interested allocations over time. In addition, we showed that guilt partially mediates this relationship: powerholders feel more guilty after receiving negative feedback about an allocation, subsequently leading to a less self-interested allocation, whereas they feel less guilty after receiving positive feedback about an allocation, subsequently taking more for themselves. Our findings integrate the literature on upward feedback with theory about moral self-regulation to support the idea that subordinates are an important source of influence over those who hold power over them.

  19. Quantifying multivariate plasticity: genetic variation in resource acquisition drives plasticity in resource allocation to components of life history.

    PubMed

    Robinson, Matthew R; Beckerman, Andrew P

    2013-03-01

    Acquisition and allocation of resources are central to life-history theory. However, empirical work typically focuses only on allocation despite the fact that relationships between fitness components may be governed by differences in the ability of individuals to acquire resources across environments. Here, we outline a statistical framework to partition the genetic basis of multivariate plasticity into independent axes of genetic variation, and quantify for the first time, the extent to which specific traits drive multitrait genotype-environment interactions. Our framework generalises to analyses of plasticity, growth and ageing. We apply this approach to a unique, large-scale, multivariate study of acquisition, allocation and plasticity in the life history of the cricket, Gryllus firmus. We demonstrate that resource acquisition and allocation are genetically correlated, and that plasticity in trade-offs between allocation to components of fitness is 90% dependent on genetic variance for total resource acquisition. These results suggest that genotype-environment effects for resource acquisition can maintain variation in life-history components that are typically observed in the wild.

  20. A model for allocating CDC's HIV prevention resources in the United States.

    PubMed

    Lasry, Arielle; Sansom, Stephanie L; Hicks, Katherine A; Uzunangelov, Vladislav

    2011-03-01

    The Division of HIV/AIDS Prevention (DHAP) at the Centers for Disease Control and Prevention has an annual budget of approximately $325 million for funding HIV prevention programs in the U.S. The purpose of this paper is to thoroughly describe the methods used to develop a national HIV resource allocation model intended to inform DHAP on allocation strategies that might improve the overall effectiveness of HIV prevention efforts. The HIV prevention resource allocation problem consists of choosing how to apportion prevention resources among interventions and populations so that HIV incidence is minimized, given a budget constraint. We developed an epidemic model that projects HIV infections over time given a specific allocation scenario. The epidemic model is then embedded in a nonlinear mathematical optimization program to determine the allocation scenario that minimizes HIV incidence over a 5-year horizon. In our model, we consider the general U.S. population and specific at-risk populations. The at-risk populations include 15 subgroups structured by gender, race/ethnicity and HIV transmission risk group. HIV transmission risk groups include high-risk heterosexuals, men who have sex with men and injection drug users. We consider HIV screening interventions and interventions to reduce HIV-related risk behaviors. The output of the model is the optimal funding scenario indicating the amounts to be allocated to all combinations of populations and interventions. For illustrative purposes only, we provide a sample application of the model. In this example, the optimal allocation scenario is compared to the current baseline funding scenario to highlight how the current allocation of funds could be improved. In the baseline allocation, 29% of the annual budget is aimed at the general population, while the model recommends targeting 100% of the budget to the at-risk populations with no allocation targeted to the general population. Within the allocation to behavioral

  1. The international environment UNISPACE '82 and the ITU: A relationship between orbit-spectrum resource allocation and orbital debris

    NASA Technical Reports Server (NTRS)

    Olmstead, D.

    1985-01-01

    The 1985 Space WARC will examine and potentially modify the current geostationary orbit spectrum resource allocation methodology. Discussions in this international political environment could likely associate the geostationary orbital debris issue with the politicized issue of orbit spectrum allocation.

  2. Sensory ecology and perceptual allocation: new prospects for neural networks.

    PubMed

    Phelps, Steven M

    2007-03-29

    Sensory ecology provides a conceptual framework for considering how animals ought to design sensory systems to capture meaningful information from their environments. The framework has been particularly successful at describing how one should allocate sensory receptors to maximize performance on a given task. Neural networks, in contrast, have made unique contributions to understanding how 'hidden preferences' can emerge as a by-product of sensory design. The two frameworks comprise complementary techniques for understanding the design and the evolution of sensation. This article reviews empirical literature from multiple modalities and levels of sensory processing, considering vision, audition and touch from the viewpoints of sensory ecology and neuroethology. In the process, it presents modifications of extant neural network algorithms that would allow a more effective integration of these diverse approaches. Together, the reviewed literature suggests important advances that can be made by explicitly formulating neural network models in terms of sensory ecology, by incorporating neural costs into models of perceptual evolution and by exploring how such demands interact with historical forces.

  3. The Health Resources Allocation Model (HRAM) for the 21st century.

    PubMed

    Maire, Nicolas; Hegnauer, Michael; Nguyen, Dana; Godelmann, Lucas; Hoffmann, Axel; de Savigny, Don; Tanner, Marcel

    2012-05-01

    The Health Resources Allocation Model (HRAM) is an eLearning tool for health cadres and scientists introducing basic concepts of sub-national, rational district-based health planning and systems thinking under resources constraint. HRAM allows the evaluation of resource allocation strategies in relation to key outcome measures such as coverage, equity of services achieved and number of deaths and disability-adjusted life years (DALYs) prevented. In addition, the model takes into account geographical and demographic characteristics and populations' health seeking behaviour. It can be adapted to different socio-ecological and health system settings.

  4. The Soft Constraints Hypothesis: A Rational Analysis Approach to Resource Allocation for Interactive Behavior

    ERIC Educational Resources Information Center

    Gray, Wayne D.; Sims, Chris R.; Fu, Wai-Tat; Schoelles, Michael J.

    2006-01-01

    Soft constraints hypothesis (SCH) is a rational analysis approach that holds that the mixture of perceptual-motor and cognitive resources allocated for interactive behavior is adjusted based on temporal cost-benefit tradeoffs. Alternative approaches maintain that cognitive resources are in some sense protected or conserved in that greater amounts…

  5. Resource Allocation with the Use of the Balanced Scorecard and the Triple Bottom Line in Education

    ERIC Educational Resources Information Center

    Nguyen, Chi Hong

    2007-01-01

    In terms of the economic bottom line, effective school leaders are now supposed to pay close attention to two central tasks which involve managing resources and devising operational strategies in their action plans. Taking a postmodern viewpoint, the first part of this paper aims to discuss the significance of resource allocation in education and…

  6. What Do We Spend Tto Educate a Child? The Student Resource Allocation Model.

    ERIC Educational Resources Information Center

    Pruslow, John T.

    2001-01-01

    Describes the features of a new student resource-allocation model that analyzes resources for individual students, groups, or categories of students and allows the integration of cost analysis into school-district and building-level planning and evaluation. States that use of the model will assist school-district administrators in making more…

  7. Intra-District Resource Allocation and Criteria Used for Student Based Funding in Urban School Districts

    ERIC Educational Resources Information Center

    Aloo, Peter Mangla

    2011-01-01

    Resource allocation to school sites in public school districts is inequitable. While Student Based Funding (SBF) has been implemented in several major urban school districts, there are few empirical studies about how SBF policies are derived and implemented. Current efforts to align resources with student need are hindered by a lack of systematic,…

  8. Classroom Games: The Allocation of Renewable Resources under Different Property Rights and Regulation Schemes.

    ERIC Educational Resources Information Center

    Giraud, Kelly L.; Herrmann, Mark

    2002-01-01

    Describes a renewable resource allocation game designed to stimulate student interest in and understanding of market failure associated with open-access types of resource use. Employs the game to discuss advantages and disadvantages of property rights and regulation schemes. States the game benefits noneconomics majors in natural resource…

  9. The Unconscious Allocation of Cognitive Resources to Task-Relevant and Task-Irrelevant Thoughts

    ERIC Educational Resources Information Center

    Kuldas, Seffetullah; Hashim, Shahabuddin; Ismail, Hairul Nizam; Samsudin, Mohd Ali; Bakar, Zainudin Abu

    2014-01-01

    Conscious allocation of cognitive resources to task-relevant thoughts is necessary for learning. However, task-irrelevant thoughts often associated with fear of failure can enter the mind and interfere with learning. Effects like this prompt the question of whether or not learners consciously shift their cognitive resources from task-relevant to…

  10. Children's Recognition of Fairness and Others' Welfare in a Resource Allocation Task: Age Related Changes

    ERIC Educational Resources Information Center

    Rizzo, Michael T.; Elenbaas, Laura; Cooley, Shelby; Killen, Melanie

    2016-01-01

    The present study investigated age-related changes regarding children's (N = 136) conceptions of fairness and others' welfare in a merit-based resource allocation paradigm. To test whether children at 3- to 5-years-old and 6- to 8-years-old took others' welfare into account when dividing resources, in addition to merit and equality concerns,…

  11. Arithmetic and algebraic problem solving and resource allocation: the distinct impact of fluid and numerical intelligence.

    PubMed

    Dix, Annika; van der Meer, Elke

    2015-04-01

    This study investigates cognitive resource allocation dependent on fluid and numerical intelligence in arithmetic/algebraic tasks varying in difficulty. Sixty-six 11th grade students participated in a mathematical verification paradigm, while pupil dilation as a measure of resource allocation was collected. Students with high fluid intelligence solved the tasks faster and more accurately than those with average fluid intelligence, as did students with high compared to average numerical intelligence. However, fluid intelligence sped up response times only in students with average but not high numerical intelligence. Further, high fluid but not numerical intelligence led to greater task-related pupil dilation. We assume that fluid intelligence serves as a domain-general resource that helps to tackle problems for which domain-specific knowledge (numerical intelligence) is missing. The allocation of this resource can be measured by pupil dilation.

  12. Nutrient Stress During Ontogeny Alters Patterns of Resource Allocation in two Species of Horned Beetles.

    PubMed

    Schwab, Daniel B; Moczek, Armin P

    2016-10-01

    The elaboration of exaggerated, sexually selected weapons and ornaments often comes at a cost to other traits. For instance, by sustaining the growth of an exaggerated weapon during development, shared and limited resources such as morphogens, growth factors, and nutrients may become depleted and limit the size to which other structures can grow. Such interactions are characteristic of resource allocation trade-offs, which can constrain the production of phenotypic variation and bias evolutionary trajectories. Across many species of Onthophagus beetles, males produce extravagant horns that are used as weapons in male-male competition over mates. Previous studies have reported resource allocation trade-offs between horns and both proximally and distally developing structures. However, more recent studies have largely failed to recover these patterns, leading to the hypothesis that trade-offs may manifest only in certain species, populations, or environmental conditions. Here, we investigate (i) patterns of resource allocation into horns, eyes, and genitalia in Onthophagus gazella and O. taurus, and assess (ii) how these patterns of resource allocation are influenced by nutrient stress during larval development. We find that nutrient stress alters patterns of resource allocation within and among traits, but recover a trade-off only in the species that invests most heavily into horn production (O. taurus), and in individuals of that species that invested a disproportionately large or small amount of resources into horn growth. These results suggest that resource allocation trade-offs may not be as prevalent as previously described, and that their presence and magnitude may instead be highly context dependent.

  13. Resource allocation to kin, friends, and strangers by 3- to 6-year-old children.

    PubMed

    Lu, Hui Jing; Chang, Lei

    2016-10-01

    Kin altruism has been widely observed across species, including humans. However, few studies have discussed the development of kin altruism or its relationship with theory of mind. In this study, 3- to 6-year-old children allocated resources between themselves and kin, a friend, or a stranger in three allocation tasks where the allocation either incurred a cost, incurred no cost, or conferred a disadvantage. The results showed that, compared with 3- and 4-year-olds, 5- and 6-year-olds acted more altruistically toward kin and that kin altruism was uncorrelated with theory of mind. These findings suggest that, within the context of resource allocation, kin altruism emerges toward the end of early childhood and probably differs from other prosocial behavior that relies solely on the understanding of others' perspectives.

  14. Using a Cast Iron Hand-Pump to Teach Students About Water Resources and Resource Allocation

    NASA Astrophysics Data System (ADS)

    Mailloux, B. J.; Radloff, K. A.

    2010-12-01

    Simply turning on the tap brings safe, clean, fresh-tasting water to most Americans. Students never need to consider basic concepts about water supply, including their daily water consumption and the quality of the water required for drinking. In stark contrast, the issues of water quality and quantity play a central role in people’s daily lives in the developing world. It is difficult to convey this reality to our students through lectures alone and hands-on activities are required. In order to develop an active learning based approach, we transported a traditional cast iron hand-pump and aluminum urns from Bangladesh to the United States. The hand-pump is mounted on a cooler, which acts as a water reservoir, and is now functional and easily transportable. Using this powerful demonstration tool, we have developed an active learning module we call “How far will you walk for water?”. The goal of the module is to teach students about water quantity, water quality, and resource allocation with a focus on Arsenic and Bangladesh, but the system could be applied to other areas of concern. First the students are given a quick lecture on Arsenic, its health impacts, and the extent of contamination in Bangladesh. They are then assigned a specific well, complete with a map of their village and picture of their well and a water sample (pre-spiked with arsenic to be above or below the 10 ug/L WHO limit). Next they pump the wellhead, fill an urn, walk down the hall and back, and measure the distance walked. This is compared to the distance from their village home to their private well, to safe wells belonging to neighbors and to a community well. The students then use the Hach Arsenic test kit to test the arsenic levels in their water samples and learn if their well is safe to drink. Finally, given all this information students must determine if they should continue drinking from their well or switch to a new well, even if that means making multiple, long trips each day

  15. An optimization algorithm for multipath parallel allocation for service resource in the simulation task workflow.

    PubMed

    Wang, Zhiteng; Zhang, Hongjun; Zhang, Rui; Li, Yong; Zhang, Xuliang

    2014-01-01

    Service oriented modeling and simulation are hot issues in the field of modeling and simulation, and there is need to call service resources when simulation task workflow is running. How to optimize the service resource allocation to ensure that the task is complete effectively is an important issue in this area. In military modeling and simulation field, it is important to improve the probability of success and timeliness in simulation task workflow. Therefore, this paper proposes an optimization algorithm for multipath service resource parallel allocation, in which multipath service resource parallel allocation model is built and multiple chains coding scheme quantum optimization algorithm is used for optimization and solution. The multiple chains coding scheme quantum optimization algorithm is to extend parallel search space to improve search efficiency. Through the simulation experiment, this paper investigates the effect for the probability of success in simulation task workflow from different optimization algorithm, service allocation strategy, and path number, and the simulation result shows that the optimization algorithm for multipath service resource parallel allocation is an effective method to improve the probability of success and timeliness in simulation task workflow.

  16. [Strategic decisions in public psychiatric institutions: a proposed method for resource analysis and allocation].

    PubMed

    Micheletti, Pierre; Chierici, Piero; Durang, Xavier; Salvador, Nathalie; Lopez, Nathalie

    2011-01-01

    Because of its sector-based organization and extra-hospital care, public psychiatry has a unique position in healthcare. This paper describes the tools and procedures used to analyze and allocate the resources of the "Centre Hospitalier Alpes-Isère", a hospital serving a catchment population of 530,000 adults. A consensus-based approach was used to validate the selected indicators and included the participation of a geographer. Five levels of resource allocation were identified and classified using a decision tree. At each level, the relevant authorities and criteria were identified as key components of the decision-making process. This paper describes the first three levels of care provision. Focusing on adult care, a comparative assessment of the resources allocated to general psychiatric care and specialist care was conducted, in addition to a comparative assessment of the resources allocated to each of the hospital's four local centers. Geographical accessibility to extramural facilities was also assessed. A study of the characteristics of each general psychiatry clinic revealed significant disparities. The paper highlights several issues: the poor knowledge of psychiatric epidemiological data relating to the population within the catchment area, the difficulty of assessing non-consolidated data or indicators from multiple sources, and the limited and partial nature of geographical data for characterizing and evaluating health care in the hospital's peripheral clinics. Several studies are currently underway to assess the operational effectiveness of the tools and procedures used to analyze and allocate resources.

  17. Elderly Care and Intrafamily Resource Allocation when Children Migrate *

    PubMed Central

    Antman, Francisca M.

    2012-01-01

    This paper considers the intrafamily allocation of elderly care in the context of international migration where migrant children may be able to provide financial assistance to their parents, but are unable to offer physical care. To investigate the interaction between siblings, I take a non-cooperative view of family decision-making and estimate best response functions for individual physical and financial contributions as a function of siblings’ contributions. I address the endogeneity of siblings’ contributions and individual migration decisions by using siblings’ characteristics as instrumental variables as well as models including family fixed effects. For both migrants and non-migrants, I find evidence that financial contributions function as strategic complements while siblings’ time contributions operate as strategic substitutes. This suggests that children’s contributions toward elderly care may be based on both strategic bequest and public good motivations. PMID:22518064

  18. Supporting quality of service by using delta dynamic bandwidth allocations in Ethernet passive optical networks

    NASA Astrophysics Data System (ADS)

    Yang, Yeon-Mo; Ahn, Byung-Ha; Nho, Ji-Myong

    2005-02-01

    In Ethernet passive optical networks (EPONs), dynamic bandwidth allocation (DBA) has to provide efficient and statistical multiplexing between the optical network units for better upstream use. Here a new burst-polling-based delta (DBA) scheme is proposed for quality of service (QoS) using class of service (CoS) in EPONs. The proposed scheme consists of two parts: one is inter-ONU scheduling, which is a delta DBA based on burst polling, and the other is OLT-based intra-ONU scheduling, a differentiated priority queuing method at egress, in which three kinds of traffic classes have been considered, such as expedited forwarding (EF), assured forwarding (AF), and best effort (BE). With the proposed scheme, it has been shown that the network resources are optimally utilized and adaptively allocated to the three traffic classes by guaranteeing the requested QoS. For the verification and validation of the algorithm, experimental simulation results using OPNET have been presented, and these show that the proposed scheme under varying offered loads gives an improvement compared with the other DBA schemes in the content of (criteria) packet delay, queue length, and channel utilization--especially when the offered load is beyond the system's capacity. Specifically, packet-delay variations (PDV) for different classes of traffic are demonstrated.

  19. Resource allocation in shared spectrum access communications for operators with diverse service requirements

    NASA Astrophysics Data System (ADS)

    Kibria, Mirza Golam; Villardi, Gabriel Porto; Ishizu, Kentaro; Kojima, Fumihide; Yano, Hiroyuki

    2016-12-01

    In this paper, we study inter-operator spectrum sharing and intra-operator resource allocation in shared spectrum access communication systems and propose efficient dynamic solutions to address both inter-operator and intra-operator resource allocation optimization problems. For inter-operator spectrum sharing, we present two competent approaches, namely the subcarrier gain-based sharing and fragmentation-based sharing, which carry out fair and flexible allocation of the available shareable spectrum among the operators subject to certain well-defined sharing rules, traffic demands, and channel propagation characteristics. The subcarrier gain-based spectrum sharing scheme has been found to be more efficient in terms of achieved throughput. However, the fragmentation-based sharing is more attractive in terms of computational complexity. For intra-operator resource allocation, we consider resource allocation problem with users' dissimilar service requirements, where the operator supports users with delay constraint and non-delay constraint service requirements, simultaneously. This optimization problem is a mixed-integer non-linear programming problem and non-convex, which is computationally very expensive, and the complexity grows exponentially with the number of integer variables. We propose less-complex and efficient suboptimal solution based on formulating exact linearization, linear approximation, and convexification techniques for the non-linear and/or non-convex objective functions and constraints. Extensive simulation performance analysis has been carried out that validates the efficiency of the proposed solution.

  20. [Allocation of cognitive resources during the simultaneous performance of cognitive and sensorimotor tasks].

    PubMed

    Krampe, R T; Rapp, M A; Bondar, A; Baltes, P B

    2003-03-01

    We review research on the allocation of cognitive resources during the simultaneous performance of cognitive and sensorimotor tasks. From the developmental and clinical perspectives,we emphasize: (1) the distinction between the availability and the allocation of resources, (2) lifespan changes in relation to the environmental validity of sensorimotor functions, and (3) the potentials and limitations for an individuals' adaptations to multi-task constraints. These aspects can be operationalized within the framework of selection, optimization, and compensation (SOC). Related studies focus on older individuals' selective resource allocation and compensatory processes as adaptive means in the context of reduced resources and decreased sensorimotor functioning. Results show that older adults must invest increasing amounts of their cognitive resources into the coordination of bodily functions such as balance and gait. SOC research on Alzheimer's patients provides new insights into the increased risks of falling. We argue that adaptive resource allocation in everyday sensorimotor performance is an instance of intelligent behavior that is insufficiently represented in extant psychometric tests.

  1. The Commons Game: An Exercise in Resource Allocation.

    ERIC Educational Resources Information Center

    Hope, Christine A.; Stover, Ronald G.

    1982-01-01

    Describes a nine-week exercise based on Hardin's concept of "the commons" designed to teach college sociology students about the structural constraints on individual decision-making concerning resource use. The theoretical background and simulation set-up of the exercise are discussed. (Author/AM)

  2. Nutrient mediation of behavioral plasticity and resource allocation in a xylem-feeding leafhopper.

    PubMed

    Brodbeck, Brent V; Andersen, Peter C; Mizell, Russell F

    2011-01-01

    Phenotypic plasticity may be critical for nutrient-limited organisms that allocate ingested nutrients to the competing demands of reproduction and survivorship. Leafhoppers that feed on xylem fluid allow assessment of plasticity in response to the constant selective pressure of nutritional inadequacy. We examined feeding behavior (host selection and consumption rates) and nutrient allocation (fecundity, change in body mass and composition) of the xylem fluid-feeding leafhopper Homalodisca vitripennis (Hemiptera:Cicadellidae) on ten genotypes of related Prunus germplasm when adults first seasonally appear, and later during population peaks, to examine the effects of genotypes and season on plasticity of life history and behavioral traits. Behavior and resource allocation to life history traits were both mediated by xylem nutrients, although nutrients impacting behavior differed from those mediating life history. Host selection and consumption varied with genotype between June and July, yet behavior consistently reflected concentrations of dietary glutamine. Resource allocations also increased linearly with nutrient concentrations, but were best correlated to ingested essential amino acids rather than glutamine. Body mass and composition were highly correlated to dietary essential amino acids in June; 6 weeks later, fecundity was instead proportional to essential amino acids. The discrepancy in nutrients which impact behavior versus those mediating life history may explain the weak preference-performance linkage documented for many insects. The demarcation in allocating resources to biomass in June to fecundity in July suggests increased allocation to reproduction during periods of nutrient stress as predicted by the theory of optimal resource allocation; other contributing biotic and abiotic factors are also discussed.

  3. Family Resource Allocation after Firstborns Leave Home: Implications for Secondborns' Academic Functioning.

    PubMed

    Jensen, Alexander C; Whiteman, Shawn D; Bernard, Julia M; McHale, Susan M

    2015-12-29

    This study assessed secondborn adolescents' perceptions of changes in the allocation of family resources following their firstborn siblings' departure from home after high school, and whether perceived changes were related to changes over 1 year in secondborns' academic functioning. Participants were secondborn siblings (mean age = 16.58, SD = 0.91) from 115 families in which the older sibling had left the family home in the previous year. Allocation of resources was measured via coded qualitative interviews. Most (77%) secondborns reported increases in at least one type of family resource (i.e., parental companionship, attention, material goods), and many reported an increase in multiple types of resources in the year following their older sibling's departure. Consistent with resource dilution theory, perceptions of increases in fathers' companionship, fathers' attention, and mothers' companionship were related to improvements over time in secondborns' academic functioning.

  4. Allocating resources in a data-driven college of nursing.

    PubMed

    Stuart, Gail W; Erkel, Elizabeth A; Shull, Lynn H

    2010-01-01

    Three years ago our college of nursing faced a critical strategic planning question: How could the college initiate and offer a Doctor of Nursing Practice (DNP) degree program without additional human and financial resources? This article describes the process used to open a new educational program with no new resources by suspending educational programs that were not financially viable. While the process was difficult, shared governance and data-driven decision-making fostered trust and openness that allowed faculty members to make critical decisions, assuring the viability and future growth of the college. At the end of this process, faculty members were united in their decisions and actively and energetically engaged in the development of a new DNP curriculum that built upon their strengths and expertise.

  5. Resource allocation and prioritization in auditory working memory

    PubMed Central

    Kumar, S.; Joseph, S.; Pearson, B.; Teki, S.; Fox, Z. V.; Griffiths, T. D.; Husain, M.

    2012-01-01

    A prevalent view of working memory (WM) considers it to be capacity-limited, fixed to a set number of items. However, recent shared resource models of WM have challenged this “quantized” account using measures of recall precision. Although this conceptual framework can account for several features of visual WM, it remains to be established whether it also applies to auditory WM. We used a novel pitch-matching paradigm to probe participants’ memory of pure tones in sequences of varying length, and measured their precision of recall. Crucially, this provides an index of the variability of memory representation around its true value, rather than a binary “yes/no” recall measure typically used in change detection paradigms. We show that precision of auditory WM varies with both memory load and serial order. Moreover, auditory WM resources can be prioritized to cued items, improving precision of recall, but with a concomitant cost to other items, consistent with a resource model account. PMID:23486527

  6. Resource Allocation for KA-Band Broadband Satellite Systems

    DTIC Science & Technology

    1999-01-01

    IEEE Communications Magazine , July 1997, pp. 30-43. [4] T. K. Apostolopoulos, V.C...Connors, B.Ryu, S. Dao; Modeling and simulation of broadband satellite networks: Part I, Medium Access Control for QoS provisioning; IEEE Communications Magazine , March...Communications, Vol 17, No. 2, February 1999, pp. 133-144. 82 [11] J. Gilderson, J. Cherkaoui; Onboard Switching for ATM via satellite; IEEE Communications Magazine ,

  7. Fair Resource Allocation to Health Research: Priority Topics for Bioethics Scholarship.

    PubMed

    Pratt, Bridget; Hyder, Adnan A

    2017-04-03

    This article draws attention to the limited amount of scholarship on what constitutes fairness and equity in resource allocation to health research by individual funders. It identifies three key decisions of ethical significance about resource allocation that research funders make regularly and calls for prioritizing scholarship on those topics - namely, how health resources should be fairly apportioned amongst public health and health care delivery versus health research, how health research resources should be fairly allocated between health problems experienced domestically versus other health problems typically experienced by disadvantaged populations outside the funder's country, and how domestic and non-domestic health research funding should be further apportioned to different areas, e.g. types of research and recipients. These three topics should be priorities for bioethics research because their outcomes have a substantial bearing on the achievement of health justice. The proposed agenda aims to move discussion on the ethics of health research funding beyond its current focus on the mismatch between worldwide basic and clinical research investment and the global burden of disease. Individual funders' decision-making on whether and to what extent to allocate resources to non-domestic health research, health systems research, research on the social determinants of health, capacity development, and recipients in certain countries should also be the focus of ethical scrutiny.

  8. Resource Allocation and Educational Adequacy: Case Studies of School-Level Resource Use in Southern California with Budget Reductions

    ERIC Educational Resources Information Center

    Hobbs, Alysia Jocelyn

    2010-01-01

    This study selected a purposeful sample of eight high performing southern California elementary schools which achieved API scores above 900 over a three year period. A review of instructional strategies for each study school during the improvement process and resource allocation patterns was determined. Case studies of each school include…

  9. Decentralization and equity of resource allocation: evidence from Colombia and Chile.

    PubMed Central

    Bossert, Thomas J.; Larrañaga, Osvaldo; Giedion, Ursula; Arbelaez, José Jesus; Bowser, Diana M.

    2003-01-01

    OBJECTIVE: To investigate the relation between decentralization and equity of resource allocation in Colombia and Chile. METHODS: The "decision space" approach and analysis of expenditures and utilization rates were used to provide a comparative analysis of decentralization of the health systems of Colombia and Chile. FINDINGS: Evidence from Colombia and Chile suggests that decentralization, under certain conditions and with some specific policy mechanisms, can improve equity of resource allocation. In these countries, equitable levels of per capita financial allocations at the municipal level were achieved through different forms of decentralization--the use of allocation formulae, adequate local funding choices and horizontal equity funds. Findings on equity of utilization of services were less consistent, but they did show that increased levels of funding were associated with increased utilization. This suggests that improved equity of funding over time might reduce inequities of service utilization. CONCLUSION: Decentralization can contribute to, or at least maintain, equitable allocation of health resources among municipalities of different incomes. PMID:12751417

  10. Queue Resource Reallocation Strategy for Traffic Systems in Scale-Free Network

    NASA Astrophysics Data System (ADS)

    Zhang, Shuai; Liang, Man-Gui; Jiang, Zhong-Yuan; Li, Hui-Jia

    2013-03-01

    In real communication systems, each node has a finite queue length to store packets due to physical constraints. In this paper, we propose a queue resource allocation strategy for traffic dynamics in scale-free networks. With a finite resource of queue, the allocation of queue length on node i is based on Bi, where Bi is the generalized betweenness centrality of node i. The overall traffic capacity of a network system can be evaluated by the critical packet generating rate (Rc). Through the use of the proposed queue allocation scheme for the shortest path protocol and efficient routing protocol, our strategy performs better than the uniform queue length allocation strategy, which is demonstrated by a larger value of the critical generating rate. We also give a method to estimate the network traffic capacity theoretically.

  11. [Growth and resource allocation pattern of Artemisia frigida under different grazing and clipping intensities].

    PubMed

    Li, Jinhua; Li, Zhenqing; Liu, Zhenguo

    2004-03-01

    In order to understand the degradation process and its mechanism of typical steppe in Inner Mongolia, this paper studied the growth and resource allocation pattern of Artimisia frigida under different grazing and clipping intensities(no grazing, light grazing 1.33 sheep.hm-2, moderate grazing 4.00 sheep.hm-2, heavy grazing 6.67 sheep.hm-2, proportional clipping and stubble clipping), which was conducted at the Inner Mongolia Grassland Ecosystem Research Station of Chinese Academy of Sciences(43 degrees 26'-44 degrees 08' N, 116 degrees 04'-117 degrees 05' E). The results showed that the regrowth ability of A. frigida under proportional clipping was superior to that under stubble clipping, and light clipping (1/4 proportional clipping or 10 cm stubble clipping) was superior to no clipping. In early growth season, the net regrowth of A. frigida was higher under no clipping than under light clipping, but reversed in late growth season (after mid-August). The biomass allocation pattern of A. frigida was roots > leaves > stems. Grazing or clipping affected biomass allocation significantly, especially for the allocation of leaves and flowers. The biomass allocation of leaves was significantly higher under 3/4 proportional clipping or 4 cm stubble clipping than under other treatments, and reverse trend was true for the biomass allocation of flowers. There were no significant differences in biomass allocation of roots and stems among treatments. Sexual reproductive allocation decreased with increasing grazing or clipping intensities, and reproductive mode of A. frigida changed under heavy grazing. The changes in priority of biomass allocation from sexual reproductive organs to clonal growth to sustain and propagate population were important ecological strategies of the species to heavy grazing.

  12. Design and implementation of priority and time-window based traffic scheduling and routing-spectrum allocation mechanism in elastic optical networks

    NASA Astrophysics Data System (ADS)

    Wang, Honghuan; Xing, Fangyuan; Yin, Hongxi; Zhao, Nan; Lian, Bizhan

    2016-02-01

    With the explosive growth of network services, the reasonable traffic scheduling and efficient configuration of network resources have an important significance to increase the efficiency of the network. In this paper, an adaptive traffic scheduling policy based on the priority and time window is proposed and the performance of this algorithm is evaluated in terms of scheduling ratio. The routing and spectrum allocation are achieved by using the Floyd shortest path algorithm and establishing a node spectrum resource allocation model based on greedy algorithm, which is proposed by us. The fairness index is introduced to improve the capability of spectrum configuration. The results show that the designed traffic scheduling strategy can be applied to networks with multicast and broadcast functionalities, and makes them get real-time and efficient response. The scheme of node spectrum configuration improves the frequency resource utilization and gives play to the efficiency of the network.

  13. Integrated optimal allocation model for complex adaptive system of water resources management (II): Case study

    NASA Astrophysics Data System (ADS)

    Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu; Liu, Dedi; Chen, Lu; Wang, Dong

    2015-12-01

    Climate change, rapid economic development and increase of the human population are considered as the major triggers of increasing challenges for water resources management. This proposed integrated optimal allocation model (IOAM) for complex adaptive system of water resources management is applied in Dongjiang River basin located in the Guangdong Province of China. The IOAM is calibrated and validated under baseline period 2010 year and future period 2011-2030 year, respectively. The simulation results indicate that the proposed model can make a trade-off between demand and supply for sustainable development of society, economy, ecology and environment and achieve adaptive management of water resources allocation. The optimal scheme derived by multi-objective evaluation is recommended for decision-makers in order to maximize the comprehensive benefits of water resources management.

  14. The Effects of Task Structure on Time-sharing Efficiency and Resource Allocation Optimality

    NASA Technical Reports Server (NTRS)

    Tsang, P. S.; Wickens, C. D.

    1984-01-01

    A distinction was made between two aspects of time sharing performance: time sharing efficiency and attention allocation optimality. A secondary task technique was employed to evaluate the effects of the task structures of the component time shared tasks on both aspects of the time sharing performance. Five pairs of dual tasks differing in their structural configurations were investigated. The primary task was a visual/manual tracking task which requires spatial processing. The secondary task was either another tracking task or a verbal memory task with one of four different input/output configurations. Congruent to a common finding, time-sharing efficiency was observed to decrease with an increasing overlap of resources utilized by the time shared tasks. Research also tends to support the hypothesis that resource allocation is more optimal when the time shared tasks placed heavy demands on common processing resources than when they utilized separate resources.

  15. Quantitative proteomic analysis reveals a simple strategy of global resource allocation in bacteria.

    PubMed

    Hui, Sheng; Silverman, Josh M; Chen, Stephen S; Erickson, David W; Basan, Markus; Wang, Jilong; Hwa, Terence; Williamson, James R

    2015-02-12

    A central aim of cell biology was to understand the strategy of gene expression in response to the environment. Here, we study gene expression response to metabolic challenges in exponentially growing Escherichia coli using mass spectrometry. Despite enormous complexity in the details of the underlying regulatory network, we find that the proteome partitions into several coarse-grained sectors, with each sector's total mass abundance exhibiting positive or negative linear relations with the growth rate. The growth rate-dependent components of the proteome fractions comprise about half of the proteome by mass, and their mutual dependencies can be characterized by a simple flux model involving only two effective parameters. The success and apparent generality of this model arises from tight coordination between proteome partition and metabolism, suggesting a principle for resource allocation in proteome economy of the cell. This strategy of global gene regulation should serve as a basis for future studies on gene expression and constructing synthetic biological circuits. Coarse graining may be an effective approach to derive predictive phenomenological models for other 'omics' studies.

  16. 32 CFR 1900.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Allocation of resources; agreed extensions of time. 1900.33 Section 1900.33 National Defense Other Regulations Relating to National Defense CENTRAL INTELLIGENCE AGENCY PUBLIC ACCESS TO CIA RECORDS UNDER THE FREEDOM OF INFORMATION ACT (FOIA)...

  17. High-Quality Professional Development for All Teachers: Effectively Allocating Resources. Research & Policy Brief

    ERIC Educational Resources Information Center

    Archibald, Sarah; Coggshall, Jane G.; Croft, Andrew; Goe, Laura

    2011-01-01

    This Research & Policy Brief addresses the aspect of the teacher support system that is perhaps the most important and often the most weakly implemented: teacher learning and development. This brief includes the following to help state and district leaders select professional learning activities that are worth the allocation of scarce resources:…

  18. 32 CFR 1801.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 32 National Defense 6 2013-07-01 2013-07-01 false Allocation of resources; agreed extensions of time. 1801.33 Section 1801.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC RIGHTS UNDER THE PRIVACY ACT OF 1974 Additional Administrative Matters §...

  19. 32 CFR 1801.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Allocation of resources; agreed extensions of time. 1801.33 Section 1801.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC RIGHTS UNDER THE PRIVACY ACT OF 1974 Additional Administrative Matters §...

  20. 32 CFR 1800.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 32 National Defense 6 2013-07-01 2013-07-01 false Allocation of resources; agreed extensions of time. 1800.33 Section 1800.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC ACCESS TO NACIC RECORDS UNDER THE FREEDOM OF INFORMATION ACT (FOIA)...

  1. 32 CFR 1800.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 32 National Defense 6 2012-07-01 2012-07-01 false Allocation of resources; agreed extensions of time. 1800.33 Section 1800.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC ACCESS TO NACIC RECORDS UNDER THE FREEDOM OF INFORMATION ACT (FOIA)...

  2. 32 CFR 1801.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 32 National Defense 6 2011-07-01 2011-07-01 false Allocation of resources; agreed extensions of time. 1801.33 Section 1801.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC RIGHTS UNDER THE PRIVACY ACT OF 1974 Additional Administrative Matters §...

  3. 32 CFR 1800.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Allocation of resources; agreed extensions of time. 1800.33 Section 1800.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC ACCESS TO NACIC RECORDS UNDER THE FREEDOM OF INFORMATION ACT (FOIA)...

  4. 32 CFR 1801.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 32 National Defense 6 2014-07-01 2014-07-01 false Allocation of resources; agreed extensions of time. 1801.33 Section 1801.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC RIGHTS UNDER THE PRIVACY ACT OF 1974 Additional Administrative Matters §...

  5. 32 CFR 1801.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 32 National Defense 6 2012-07-01 2012-07-01 false Allocation of resources; agreed extensions of time. 1801.33 Section 1801.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC RIGHTS UNDER THE PRIVACY ACT OF 1974 Additional Administrative Matters §...

  6. 32 CFR 1800.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 32 National Defense 6 2014-07-01 2014-07-01 false Allocation of resources; agreed extensions of time. 1800.33 Section 1800.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC ACCESS TO NACIC RECORDS UNDER THE FREEDOM OF INFORMATION ACT (FOIA)...

  7. 32 CFR 1800.33 - Allocation of resources; agreed extensions of time.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 32 National Defense 6 2011-07-01 2011-07-01 false Allocation of resources; agreed extensions of time. 1800.33 Section 1800.33 National Defense Other Regulations Relating to National Defense NATIONAL COUNTERINTELLIGENCE CENTER PUBLIC ACCESS TO NACIC RECORDS UNDER THE FREEDOM OF INFORMATION ACT (FOIA)...

  8. The Whole Economy: Resource Allocation of Alberta Farm Women and Men.

    ERIC Educational Resources Information Center

    Keating, Norah C.; And Others

    1987-01-01

    A stratified random sample of 326 women and 392 men who operate Alberta grain farms responded to a questionnaire concerning participation in the whole economy. Findings show gender differences in participation in certain economic segments. Findings are discussed in relation to farms' and families' allocation of human resources. (Author/CH)

  9. A Multi-Objective Method to Align Human Resource Allocation with University Strategy

    ERIC Educational Resources Information Center

    Bouillard, Philippe

    2016-01-01

    Universities are currently under considerable pressure to reach their stakeholders' expectations. Management tools that use strategic plans, key performance indicators and quality assurance methods are increasingly deployed. This paper aims to demonstrate how resource allocation can be aligned with institutional strategic plans with a very simple…

  10. Allocation of Public Resources for Psychological Therapy between Types of Mental Health Condition: Towards Structural Balance

    ERIC Educational Resources Information Center

    Tustin, Don

    2009-01-01

    This paper addresses issues of allocating public resources efficiently between mental health conditions that are associated with different levels of disability, and presents an adaptation of an established framework to help decision-making in this area. The adapted framework refers to psychological interventions that are universal, indicated,…

  11. Investigation of Education Databases in Four States To Support Policy Research on Resource Allocation. Policy Report

    ERIC Educational Resources Information Center

    Pan, Diane; Smith-Hansen, Lotte; Jones, Debra Hughes; Rudo, Zena H.; Alexander, Celeste; Kahlert, Rahel Kahlert, Rahel

    2004-01-01

    Information is one of the most important tools education decision makers need to help them effectively spend taxpayer money, allocate qualified staff, and determine the effectiveness of education investments. Decision makers must understand the role and influence of monetary and staff resources on the education system, and they must have…

  12. Employing resource allocation modeling to inform HIV prevention planning for the state of Iowa.

    PubMed

    Holtgrave, David R; Young, Patricia A; Mayer, Randall R; Maulsby, Cathy; Kim, J Janet

    2013-10-01

    In fiscal year (FY) 2012, the Centers for Disease Control and Prevention (CDC) reallocated their HIV prevention funding to U.S. states, territories, and some cities so as to be more highly correlated with 2008 HIV prevalence. A jurisdiction's HIV prevention funding could drop as low as $750,000 for FY 2016. Iowa was one state that experienced a substantial funding drop, and it chose to undertake a mathematical modeling exercise to inform the following questions: (a) Given current HIV prevention funding for the state, what is the optimal allocation of resources to maximize infections averted? (b) With this "optimal" resource allocation, how many (and what percentage of) HIV infections in the state can be averted? (c) Is the optimal resource allocation sufficient to achieve the National HIV/AIDS Strategy goal of 25% reduction in HIV incidence? and (d) With the "optimal" resource allocation, is the return on the investment such that it might be considered cost-effective? Here, we describe the results of the policy analysis, and the uses of the results.

  13. Placental phenotype and the insulin-like growth factors: resource allocation to fetal growth.

    PubMed

    Sferruzzi-Perri, Amanda N; Sandovici, Ionel; Constancia, Miguel; Fowden, Abigail L

    2017-03-24

    The placenta is the main determinant of fetal growth and development in utero. It supplies all the nutrients and oxygen required for fetal growth and secretes hormones that facilitate maternal allocation of nutrients to the fetus. Furthermore, the placenta responds to nutritional and metabolic signals in the mother by altering its structural and functional phenotype which can lead to changes in maternal resource allocation to the fetus. The molecular mechanisms by which the placenta senses and responds to environmental cues are poorly understood. This review discusses the role of the insulin-like growth factors (IGFs) in controlling placental resource allocation to fetal growth, particularly in response to adverse gestational environments. In particular, it assesses the impact of the IGFs and their signalling machinery on placental morphogenesis, substrate transport and hormone secretion, primarily in the laboratory species, although it draws on data from human and other species where relevant. It also considers the role of the IGFs as environmental signals in linking resource availability, to fetal growth through changes in the morphological and functional phenotype of the placenta. As altered fetal growth is associated with increased perinatal morbidity and mortality and a greater risk of developing adult-onset diseases in later life, understanding the role of IGFs during pregnancy in regulating placental resource allocation to fetal growth is important for identifying the mechanisms underlying the developmental programming of offspring phenotype by suboptimal intrauterine growth. This article is protected by copyright. All rights reserved.

  14. Resource Allocation Practices in Three Charter Middle Schools in Relation to Student Achievement Improvement Strategies

    ERIC Educational Resources Information Center

    Campo-Contreras, Susana

    2013-01-01

    The purpose of the study was to develop a better understanding of the allocation of resources used to improve student learning outcomes in three middle schools within a Charter Management Organization (CMO). The three middle schools that participated in the study have similar demographics and serve students in low socio-economic areas of Los…

  15. Molecular genetics research in ADHD: ethical considerations concerning patients' benefit and resource allocation.

    PubMed

    Rothenberger, Lillian Geza

    2012-12-01

    Immense resource allocations have led to great data output in genetic research. Concerning ADHD resources spent on genetic research are less than those spent on clinical research. But there are successful efforts made to increase support for molecular genetics research in ADHD. Concerning genetics no evidence based conclusive results have significant impact on prevention, diagnosis or treatment yet. With regard to ethical aspects like the patients' benefit and limited resources the question arises if it is indicated to think about a new balance of resource allocation between molecular genetics and non-genetics research in ADHD. An ethical reflection was performed focusing on recent genetic studies and reviews based on a selective literature search. There are plausible reasons why genetic research results in ADHD are somehow disappointing for clinical practice so far. Researchers try to overcome these gaps systematically, without knowing what the potential future benefits for the patients might be. Non-genetic diagnostic/therapeutic research may lead to clinically relevant findings within a shorter period of time. On the other hand, non-genetic research in ADHD may be nurtured by genetic approaches. But, with the latter there exist significant risks of harm like stigmatization and concerns regarding data protection. Isolated speeding up resources of genetic research in ADHD seems questionable from an ethical point of view. There is a need to find a new balance of resource allocation between genetic and non-genetic research in ADHD, probably by integrating genetics more systematically into clinical research. A transdisciplinary debate is recommended.

  16. An Advance Reservation-Based Co-allocation Algorithm for Distributed Computers and Network Bandwidth on QoS-Guaranteed Grids

    NASA Astrophysics Data System (ADS)

    Takefusa, Atsuko; Nakada, Hidemoto; Kudoh, Tomohiro; Tanaka, Yoshio

    Co-allocation of performance-guaranteed computing and network resources provided by several administrative domains is one of the key issues for constructing a QoS-guaranteed Grid. We propose an advance reservation-based co-allocation algorithm for both computing and network resources on a QoS-guaranteed Grid, modeled as an integer programming (IP) problem. The goal of our algorithm is to create reservation plans satisfying user resource requirements as an on-line service. Also the algorithm takes co-allocation options for user and resource administrator issues into consideration. We evaluate the proposed algorithm with extensive simulation, in terms of both functionality and practicality. The results show: The algorithm enables efficient co-allocation of both computing and network resources provided by multiple domains, and can reflect reservation options for resource administrators issues as a first step. The calculation times needed for selecting resources using an IP solver are acceptable for an on-line service.

  17. Emotor control: computations underlying bodily resource allocation, emotions, and confidence.

    PubMed

    Kepecs, Adam; Mensh, Brett D

    2015-12-01

    Emotional processes are central to behavior, yet their deeply subjective nature has been a challenge for neuroscientific study as well as for psychiatric diagnosis. Here we explore the relationships between subjective feelings and their underlying brain circuits from a computational perspective. We apply recent insights from systems neuroscience-approaching subjective behavior as the result of mental computations instantiated in the brain-to the study of emotions. We develop the hypothesis that emotions are the product of neural computations whose motor role is to reallocate bodily resources mostly gated by smooth muscles. This "emotor" control system is analagous to the more familiar motor control computations that coordinate skeletal muscle movements. To illustrate this framework, we review recent research on "confidence." Although familiar as a feeling, confidence is also an objective statistical quantity: an estimate of the probability that a hypothesis is correct. This model-based approach helped reveal the neural basis of decision confidence in mammals and provides a bridge to the subjective feeling of confidence in humans. These results have important implications for psychiatry, since disorders of confidence computations appear to contribute to a number of psychopathologies. More broadly, this computational approach to emotions resonates with the emerging view that psychiatric nosology may be best parameterized in terms of disorders of the cognitive computations underlying complex behavior.

  18. Emotor control: computations underlying bodily resource allocation, emotions, and confidence

    PubMed Central

    Kepecs, Adam; Mensh, Brett D.

    2015-01-01

    Emotional processes are central to behavior, yet their deeply subjective nature has been a challenge for neuroscientific study as well as for psychiatric diagnosis. Here we explore the relationships between subjective feelings and their underlying brain circuits from a computational perspective. We apply recent insights from systems neuroscience—approaching subjective behavior as the result of mental computations instantiated in the brain—to the study of emotions. We develop the hypothesis that emotions are the product of neural computations whose motor role is to reallocate bodily resources mostly gated by smooth muscles. This “emotor” control system is analagous to the more familiar motor control computations that coordinate skeletal muscle movements. To illustrate this framework, we review recent research on “confidence.” Although familiar as a feeling, confidence is also an objective statistical quantity: an estimate of the probability that a hypothesis is correct. This model-based approach helped reveal the neural basis of decision confidence in mammals and provides a bridge to the subjective feeling of confidence in humans. These results have important implications for psychiatry, since disorders of confidence computations appear to contribute to a number of psychopathologies. More broadly, this computational approach to emotions resonates with the emerging view that psychiatric nosology may be best parameterized in terms of disorders of the cognitive computations underlying complex behavior. PMID:26869840

  19. Optimal Time-Resource Allocation for Energy-Efficient Physical Activity Detection

    PubMed Central

    Thatte, Gautam; Li, Ming; Lee, Sangwon; Emken, B. Adar; Annavaram, Murali; Narayanan, Shrikanth; Spruijt-Metz, Donna; Mitra, Urbashi

    2011-01-01

    The optimal allocation of samples for physical activity detection in a wireless body area network for health-monitoring is considered. The number of biometric samples collected at the mobile device fusion center, from both device-internal and external Bluetooth heterogeneous sensors, is optimized to minimize the transmission power for a fixed number of samples, and to meet a performance requirement defined using the probability of misclassification between multiple hypotheses. A filter-based feature selection method determines an optimal feature set for classification, and a correlated Gaussian model is considered. Using experimental data from overweight adolescent subjects, it is found that allocating a greater proportion of samples to sensors which better discriminate between certain activity levels can result in either a lower probability of error or energy-savings ranging from 18% to 22%, in comparison to equal allocation of samples. The current activity of the subjects and the performance requirements do not significantly affect the optimal allocation, but employing personalized models results in improved energy-efficiency. As the number of samples is an integer, an exhaustive search to determine the optimal allocation is typical, but computationally expensive. To this end, an alternate, continuous-valued vector optimization is derived which yields approximately optimal allocations and can be implemented on the mobile fusion center due to its significantly lower complexity. PMID:21796237

  20. Biomass Allocation of Stoloniferous and Rhizomatous Plant in Response to Resource Availability: A Phylogenetic Meta-Analysis

    PubMed Central

    Xie, Xiu-Fang; Hu, Yu-Kun; Pan, Xu; Liu, Feng-Hong; Song, Yao-Bin; Dong, Ming

    2016-01-01

    Resource allocation to different functions is central in life-history theory. Plasticity of functional traits allows clonal plants to regulate their resource allocation to meet changing environments. In this study, biomass allocation traits of clonal plants were categorized into absolute biomass for vegetative growth vs. for reproduction, and their relative ratios based on a data set including 115 species and derived from 139 published literatures. We examined general pattern of biomass allocation of clonal plants in response to availabilities of resource (e.g., light, nutrients, and water) using phylogenetic meta-analysis. We also tested whether the pattern differed among clonal organ types (stolon vs. rhizome). Overall, we found that stoloniferous plants were more sensitive to light intensity than rhizomatous plants, preferentially allocating biomass to vegetative growth, aboveground part and clonal reproduction under shaded conditions. Under nutrient- and water-poor condition, rhizomatous plants were constrained more by ontogeny than by resource availability, preferentially allocating biomass to belowground part. Biomass allocation between belowground and aboveground part of clonal plants generally supported the optimal allocation theory. No general pattern of trade-off was found between growth and reproduction, and neither between sexual and clonal reproduction. Using phylogenetic meta-analysis can avoid possible confounding effects of phylogeny on the results. Our results shown the optimal allocation theory explained a general trend, which the clonal plants are able to plastically regulate their biomass allocation, to cope with changing resource availability, at least in stoloniferous and rhizomatous plants. PMID:27200071

  1. Biomass Allocation of Stoloniferous and Rhizomatous Plant in Response to Resource Availability: A Phylogenetic Meta-Analysis.

    PubMed

    Xie, Xiu-Fang; Hu, Yu-Kun; Pan, Xu; Liu, Feng-Hong; Song, Yao-Bin; Dong, Ming

    2016-01-01

    Resource allocation to different functions is central in life-history theory. Plasticity of functional traits allows clonal plants to regulate their resource allocation to meet changing environments. In this study, biomass allocation traits of clonal plants were categorized into absolute biomass for vegetative growth vs. for reproduction, and their relative ratios based on a data set including 115 species and derived from 139 published literatures. We examined general pattern of biomass allocation of clonal plants in response to availabilities of resource (e.g., light, nutrients, and water) using phylogenetic meta-analysis. We also tested whether the pattern differed among clonal organ types (stolon vs. rhizome). Overall, we found that stoloniferous plants were more sensitive to light intensity than rhizomatous plants, preferentially allocating biomass to vegetative growth, aboveground part and clonal reproduction under shaded conditions. Under nutrient- and water-poor condition, rhizomatous plants were constrained more by ontogeny than by resource availability, preferentially allocating biomass to belowground part. Biomass allocation between belowground and aboveground part of clonal plants generally supported the optimal allocation theory. No general pattern of trade-off was found between growth and reproduction, and neither between sexual and clonal reproduction. Using phylogenetic meta-analysis can avoid possible confounding effects of phylogeny on the results. Our results shown the optimal allocation theory explained a general trend, which the clonal plants are able to plastically regulate their biomass allocation, to cope with changing resource availability, at least in stoloniferous and rhizomatous plants.

  2. Allocating Data and Workload among Multiple Servers in a Local Area Network.

    ERIC Educational Resources Information Center

    Lee, Heeseok; Park, Taeho

    1995-01-01

    Discussion of local area networks and multiple file servers for concurrent information retrievals provides a rationale for workload and data allocation and presents an analytical model which will attain effective allocation policies. Nonlinear integer programming is discussed, and computational results show the effectiveness of the heuristic.…

  3. An Analysis of Naval Personnel Resource Allocations to Logistics. Volume I. Navy Sea-Based Personnel Resource Allocations to Logistics Functions.

    DTIC Science & Technology

    1982-08-01

    Personnel Resource Allocations to May 1982 Logistics Functions 6. PERFORMING ORG . REPORT NUMBER 7AUTHOR(s) ____________________ 8. CONTRACT OR GRANT NUMBER...6 I 114,8 1 54,7 1 I (.Cc J0 1 45.4 1 514,3 1 M059 I 956,0 1 57.4 z I IArA 1 1 218.0 1 963.9 1 620.7 1 2022.0 1 57.6 1 I ISA 11 1 36.9 1 299,6

  4. Personnel Resource Allocation Strategies in a Time of Fiscal Crisis: Case Study of Elementary Schools in a California District

    ERIC Educational Resources Information Center

    Sais, Melissa Marie

    2013-01-01

    The purpose of this study was to analyze human resource allocation data for all elementary schools in large urban school district to determine whether resources were allocated in ways in that research suggests can lead to improved student achievement. Data from all 46 elementary schools that participated in the study were compared to the…

  5. The Role of Temporal Context and Expectancy in Resource Allocation to and Perception of Rapid Serial Events

    ERIC Educational Resources Information Center

    Kranczioch, Cornelia; Dhinakaran, Janani

    2013-01-01

    The perception of target events presented in a rapid stream of non-targets is impaired for early target positions, but then gradually improves, a phenomenon known as attentional awakening. This phenomenon has been associated with better resource allocation. It is unclear though whether improved resource allocation and attentional awakening are a…

  6. The social relations of health care and household resource allocation in neoliberal Nicaragua

    PubMed Central

    2010-01-01

    Background With the transition to neoliberalism, Nicaragua's once-critically acclaimed health care services have substantially diminished. Local level social formations have been under pressure to try to bridge gaps as the state's role in the provision of health care and other vital social services has decreased. This paper presents a case study of how global and national health policies reverberated in the social relations of an extended network of female kin in a rural community during late 2002 - 2003. Methods The qualitative methods used in this ethnographic study included semi-structured interviews completed during bi-weekly visits to 51 households, background interviews with 20 lay and professional health practitioners working in the public and private sectors, and participant-observation conducted in the region's government health centers. Interviews and observational field notes were manually coded and iteratively reviewed to identify and conceptually organize emergent themes. Three households of extended kin were selected from the larger sample to examine as a case study. Results The ongoing erosion of vital services formerly provided by the public sector generated considerable frustration and tension among households, networks of extended kin, and neighbors. As resource allocations for health care seeking and other needs were negotiated within and across households, longstanding ideals of reciprocal exchange persisted, but in conditions of poverty, expectations were often unfulfilled, exposing the tension between the need for social support, versus the increasingly oppositional positioning of social network members as sources of competition for limited resources. Conclusions In compliance with neoliberal structural adjustment policies mandated by multilateral and bilateral agencies, government-provided health care services have been severely restricted in Nicaragua. As the national safety net for health care has been eroded, the viability of local level

  7. A Two-Phase Model of Resource Allocation in Visual Working Memory.

    PubMed

    Ye, Chaoxiong; Hu, Zhonghua; Li, Hong; Ristaniemi, Tapani; Liu, Qiang; Liu, Taosheng

    2017-03-02

    Two broad theories of visual working memory (VWM) storage have emerged from current research, a discrete slot-based theory and a continuous resource theory. However, neither the discrete slot-based theory or continuous resource theory clearly stipulates how the mental commodity for VWM (discrete slot or continuous resource) is allocated. Allocation may be based on the number of items via stimulus-driven factors, or it may be based on task demands via voluntary control. Previous studies have obtained conflicting results regarding the automaticity versus controllability of such allocation. In the current study, we propose a two-phase allocation model, in which the mental commodity could be allocated only by stimulus-driven factors in the early consolidation phase. However, when there is sufficient time to complete the early phase, allocation can enter the late consolidation phase, where it can be flexibly and voluntarily controlled according to task demands. In an orientation recall task, we instructed participants to store either fewer items at high-precision or more items at low-precision. In 3 experiments, we systematically manipulated memory set size and exposure duration. We did not find an effect of task demands when the set size was high and exposure duration was short. However, when we either decreased the set size or increased the exposure duration, we found a trade-off between the number and precision of VWM representations. These results can be explained by a two-phase model, which can also account for previous conflicting findings in the literature. (PsycINFO Database Record

  8. Adaptive Management of Computing and Network Resources for Spacecraft Systems

    NASA Technical Reports Server (NTRS)

    Pfarr, Barbara; Welch, Lonnie R.; Detter, Ryan; Tjaden, Brett; Huh, Eui-Nam; Szczur, Martha R. (Technical Monitor)

    2000-01-01

    It is likely that NASA's future spacecraft systems will consist of distributed processes which will handle dynamically varying workloads in response to perceived scientific events, the spacecraft environment, spacecraft anomalies and user commands. Since all situations and possible uses of sensors cannot be anticipated during pre-deployment phases, an approach for dynamically adapting the allocation of distributed computational and communication resources is needed. To address this, we are evolving the DeSiDeRaTa adaptive resource management approach to enable reconfigurable ground and space information systems. The DeSiDeRaTa approach embodies a set of middleware mechanisms for adapting resource allocations, and a framework for reasoning about the real-time performance of distributed application systems. The framework and middleware will be extended to accommodate (1) the dynamic aspects of intra-constellation network topologies, and (2) the complete real-time path from the instrument to the user. We are developing a ground-based testbed that will enable NASA to perform early evaluation of adaptive resource management techniques without the expense of first deploying them in space. The benefits of the proposed effort are numerous, including the ability to use sensors in new ways not anticipated at design time; the production of information technology that ties the sensor web together; the accommodation of greater numbers of missions with fewer resources; and the opportunity to leverage the DeSiDeRaTa project's expertise, infrastructure and models for adaptive resource management for distributed real-time systems.

  9. Cost Allocation of Multiagency Water Resource Projects: Game Theoretic Approaches and Case Study

    NASA Astrophysics Data System (ADS)

    Lejano, Raul P.; Davos, Climis A.

    1995-05-01

    Water resource projects are often jointly carried out by a number of communities and agencies. Participation in a joint project depends on how costs are allocated among the participants and how cost shares compare with the cost of independent projects. Cooperative N-person game theory offers approaches which yield cost allocations that satisfy rationality conditions favoring participation. A new solution concept, the normalized nucleolus, is discussed and applied to a water reuse project in southern California. Results obtained with the normalized nucleolus are compared with those derived with more traditional solution concepts, namely, the nucleolus and the Shapley value.

  10. On the Optimal Allocation of R&D Resources for Climate Change Technology Development

    SciTech Connect

    Blanford, G J; Clarke, L E

    2003-11-03

    While technology studies and integrated assessment models incorporating endogenous technological change have demonstrated that advancing technology is a crucial component of an optimal greenhouse gas abatement strategy, the R&D process itself has received little analytical attention. This paper presents a conceptual framework for considering and exploring the optimal allocation of R&D resources for climate change technology development. The framework is then applied to a stylized application that considers the allocation between R&D focused on resolving uncertainties about the retention of sequestration and R&D focused on improving the performance of renewable energy technologies.

  11. Performance Ratio Based Resource Allocation Decision-Making in Genomic Medicine.

    PubMed

    Fragoulakis, Vasilios; Mitropoulou, Christina; Katelidou, Daphne; van Schaik, Ron H; Maniadakis, Nikolaos; Patrinos, George P

    2017-02-01

    In modern healthcare systems, the available resources may influence the morbidity, mortality, and-consequently-the level of healthcare provided in every country. This is of particular interest in developing countries where the resources are limited and must be spent wisely to address social justice and the right for equal access in healthcare services by all the citizens in economically viable terms. In this light, the current allocation is, in practice, inefficient and rests mostly on each country's individual political and historical context and, thus, does not always incorporate decision-making enabled by economic models. In this study, we present a new economic model, specifically for resource allocation for genomic medicine, based on performance ratio, with potential applications in diverse healthcare sectors, which are particularly appealing for developing countries and low-resource environments. The model proposes a new method for resource allocation taking into account (1) the size of innovation of a new technology, (2) the relative effectiveness in comparison with social preferences, and (3) the cost of the technology, which permits the measurement of effectiveness to be determined differently in the context of a specific disease and then to be expressed in a relative form using a common performance ratio. The present work expands on previous work for innovation in economic models pertaining to genomic medicine and supports translational science.

  12. National assessment of geologic carbon dioxide storage resources: allocations of assessed areas to Federal lands

    USGS Publications Warehouse

    Buursink, Marc L.; Cahan, Steven M.; Warwick, Peter D.

    2015-01-01

    Following the geologic basin-scale assessment of technically accessible carbon dioxide storage resources in onshore areas and State waters of the United States, the U.S. Geological Survey estimated that an area of about 130 million acres (or about 200,000 square miles) of Federal lands overlies these storage resources. Consequently, about 18 percent of the assessed area associated with storage resources is allocated to Federal land management. Assessed areas are allocated to four other general land-ownership categories as follows: State lands about 4.5 percent, Tribal lands about 2.4 percent, private and other lands about 72 percent, and offshore areas about 2.6 percent.

  13. Is subjective well-being a useful parameter for allocating resources among public interventions?

    PubMed

    Gandjour, A

    2001-01-01

    Scarce public resources require trade-offs between competing programs in different sectors, and the careful allocation of fixed resources within a single sector. This paper argues that a general quality of life instrument encompassing health-related and non-health-related components is suitable for determining the best trade-offs between sectors. Further, this paper suggests that subjective well-being shows the properties crucial to a general quality of life measure and has additional advantages that makes it particularly useful for the allocation of public and health care resources. The paper argues that Western societies are in an unusually prosperous situation today which allows to concentrate efforts not only on reducing harm but also on improving positive states of health. Further, subjective well-being can be evaluated from the patient's perspective and incorporates a valuation of life expectancy. Criteria required for an appropriate questionnaire that measures subjective well-being are presented.

  14. Utility-based uplink joint power and subcarrier allocation in SC-FDMA wireless networks

    NASA Astrophysics Data System (ADS)

    Eleni Tsiropoulou, Eirini; Papavassiliou, Symeon

    2011-11-01

    In this letter, the problem of optimal joint uplink power and subcarrier allocation in single-carrier frequency-division multiple access wireless networks with real-time services is addressed, via the introduction and adoption of a utility-based framework. A joint optimisation power and subcarrier allocation problem is formulated and the optimal power allocation is determined, while an iterative algorithm to realise the joint allocation is presented. Finally, numerical results are provided that demonstrate the effectiveness of the proposed approach in terms of power savings and user satisfaction.

  15. Application of the dynamically allocated virtual clustering management system to emulated tactical network experimentation

    NASA Astrophysics Data System (ADS)

    Marcus, Kelvin

    2014-06-01

    The U.S Army Research Laboratory (ARL) has built a "Network Science Research Lab" to support research that aims to improve their ability to analyze, predict, design, and govern complex systems that interweave the social/cognitive, information, and communication network genres. Researchers at ARL and the Network Science Collaborative Technology Alliance (NS-CTA), a collaborative research alliance funded by ARL, conducted experimentation to determine if automated network monitoring tools and task-aware agents deployed within an emulated tactical wireless network could potentially increase the retrieval of relevant data from heterogeneous distributed information nodes. ARL and NS-CTA required the capability to perform this experimentation over clusters of heterogeneous nodes with emulated wireless tactical networks where each node could contain different operating systems, application sets, and physical hardware attributes. Researchers utilized the Dynamically Allocated Virtual Clustering Management System (DAVC) to address each of the infrastructure support requirements necessary in conducting their experimentation. The DAVC is an experimentation infrastructure that provides the means to dynamically create, deploy, and manage virtual clusters of heterogeneous nodes within a cloud computing environment based upon resource utilization such as CPU load, available RAM and hard disk space. The DAVC uses 802.1Q Virtual LANs (VLANs) to prevent experimentation crosstalk and to allow for complex private networks. Clusters created by the DAVC system can be utilized for software development, experimentation, and integration with existing hardware and software. The goal of this paper is to explore how ARL and the NS-CTA leveraged the DAVC to create, deploy and manage multiple experimentation clusters to support their experimentation goals.

  16. Software defined multi-OLT passive optical network for flexible traffic allocation

    NASA Astrophysics Data System (ADS)

    Zhang, Shizong; Gu, Rentao; Ji, Yuefeng; Zhang, Jiawei; Li, Hui

    2016-10-01

    With the rapid growth of 4G mobile network and vehicular network services mobile terminal users have increasing demand on data sharing among different radio remote units (RRUs) and roadside units (RSUs). Meanwhile, commercial video-streaming, video/voice conference applications delivered through peer-to-peer (P2P) technology are still keep on stimulating the sharp increment of bandwidth demand in both business and residential subscribers. However, a significant issue is that, although wavelength division multiplexing (WDM) and orthogonal frequency division multiplexing (OFDM) technology have been proposed to fulfil the ever-increasing bandwidth demand in access network, the bandwidth of optical fiber is not unlimited due to the restriction of optical component properties and modulation/demodulation technology, and blindly increase the wavelength cannot meet the cost-sensitive characteristic of the access network. In this paper, we propose a software defined multi-OLT PON architecture to support efficient scheduling of access network traffic. By introducing software defined networking technology and wavelength selective switch into TWDM PON system in central office, multiple OLTs can be considered as a bandwidth resource pool and support flexible traffic allocation for optical network units (ONUs). Moreover, under the configuration of the control plane, ONUs have the capability of changing affiliation between different OLTs under different traffic situations, thus the inter-OLT traffic can be localized and the data exchange pressure of the core network can be released. Considering this architecture is designed to be maximum following the TWDM PON specification, the existing optical distribution network (ODN) investment can be saved and conventional EPON/GPON equipment can be compatible with the proposed architecture. What's more, based on this architecture, we propose a dynamic wavelength scheduling algorithm, which can be deployed as an application on control plane

  17. Computer Network Resources for Physical Geography Instruction.

    ERIC Educational Resources Information Center

    Bishop, Michael P.; And Others

    1993-01-01

    Asserts that the use of computer networks provides an important and effective resource for geography instruction. Describes the use of the Internet network in physical geography instruction. Provides an example of the use of Internet resources in a climatology/meteorology course. (CFR)

  18. Self-organized Balanced Resources in Random Networks with Transportation Bandwidths

    NASA Astrophysics Data System (ADS)

    Yeung, Chi Ho; Wong, K. Y. Michael

    We apply statistical physics to study the task of resource allocation in random networks with limited bandwidths for the transportation of resources along the links. We derive algorithms which searches the optimal solution without the need of a global optimizer. For networks with uniformly high connectivity, the resource shortage of a node becomes a well-defined function of its capacity. An efficient profile of the allocated resources is found, with clusters of node interconnected by an extensive fraction of unsaturated links, enabling the resource shortages among the nodes to remain balanced. The capacity-shortage relation exhibits features similar to the Maxwell’s construction. For scale-free networks, such an efficient profile is observed even for nodes of low connectivity.

  19. Sex Allocation in California Oaks: Trade-Offs or Resource Tracking?

    PubMed Central

    Knops, Johannes M. H.; Koenig, Walter D.

    2012-01-01

    Trade-offs in sex resource allocation are commonly inferred from a negative correlation between male and female reproduction. We found that for three California oak species, aboveground annual net productivity (ANP) differences among individuals were primarily correlated with water availability and soil fertility. Reproductive biomass increased with ANP, but the relative allocation to reproduction was constant, indicating that reproduction tracked productivity, which in turn tracked site quality. Although there was a negative correlation between male and female reproduction, this was not the result of a resource investment trade-off, but rather a byproduct of the positive correlation between female reproductive biomass and ANP combined with the greater overall resource allocation to female, compared to male, function. Thus, we reject the hypothesis of a trade-off between these key life-history components within individuals of these species. For long-lived individuals, a plastic resource tracking response to environmental fluctuations may be more adaptive than directly linking life-history traits through trade-offs. PMID:22952692

  20. Cerebral hemovelocity reveals differential resource allocation strategies for extraverts and introverts during vigilance.

    PubMed

    Shaw, Tyler H; Nguyen, Cynthia; Satterfield, Kelly; Ramirez, Raul; McKnight, Patrick E

    2016-02-01

    Extraversion--one of the Big 5 personality factors--correlates negatively with vigilance, but most studies focus on performance outcomes and not the performance process. Previous research has shown that transcranial Doppler sonography (TCD), which measures cerebral blood flow velocity (CBFV), can be used to examine resource allocation strategies during vigilance performance. Hence, this study was designed to assess the attentional resource allocation strategies of introverts and extraverts using the CBFV measure. Twelve extroverts and 13 introverts monitored a 60-min vigilance task for a critical signal--the absence of a line on a five-circle array. The results revealed an overall performance decrement that was not modulated by extraversion. We observed an interaction between extraversion and time; CBFV declined in the introversion group, but not in the extraversion group. Additionally, an interaction between cerebral hemisphere and personality revealed that extraverts were recruiting resources from both the left and right cerebral hemispheres, while introverts only recruited resources from the right hemisphere. The results suggest that extraverts can allocate compensatory effort to mask performance differences. We discuss the theoretical and practical implications of these findings and offer future research directions that may help us understand these effects.

  1. Life history trade-offs and evidence for hierarchical resource allocation in two monocarpic perennials.

    PubMed

    Cao, G-X; Worley, A C

    2013-01-01

    The evolution of floral display is thought to be constrained by trade-offs between the size and number of flowers; however, empirical evidence for the trade-off is inconsistent. We examined evidence for trade-offs and hierarchical allocation of resources within and between two populations each of the monocarpic perennials, Cardiocrinum cordatum and C. giganteum. Within all populations, flower size-number trade-offs were evident after accounting for variation in plant size. In addition, variation in flower size explained much variation in flower-level allocation to attraction, and female and male function, a pattern consistent with hierarchical allocation. However, between population differences in flower size (C. cordatum) and number (C. giganteum) were not consistent with size-number trade-offs or hierarchical allocation. The population-level difference in C. cordatum likely reflects the combined influence of a time lag between initiation and maturation of flowers, and higher light levels in one population. Thus, our study highlights one mechanism that may account for the apparent independence of flower size and number in many studies. A prediction of sex allocation theory was also supported. In C. giganteum: plants from one population invested more mass in pistils and less in stamens than did plants from the other population. Detection of floral trade-offs in Cardiocrinum may be facilitated by monocarpic reproduction, production of a single inflorescence and ease of measuring plant size.

  2. A data-driven allocation tool for in-kind resources distributed by a state health department

    PubMed Central

    Peterson, Cora; Kegler, Scott R.; Parker, Wende R.; Sullivan, David

    2016-01-01

    Objective The objective of this study was to leverage a state health department’s operational data to allocate in-kind resources (children’s car seats) to counties, with the proposition that need-based allocation could ultimately improve public health outcomes. Methods This study used a retrospective analysis of administrative data on car seats distributed to counties statewide by the Georgia Department of Public Health and development of a need-based allocation tool (presented as interactive supplemental digital content, adaptable to other types of in-kind public health resources) that relies on current county-level injury and sociodemographic data. Results Car seat allocation using public health data and a need-based formula resulted in substantially different recommended allocations to individual counties compared to historic distribution. Conclusions Results indicate that making an in-kind public health resource like car seats universally available results in a less equitable distribution of that resource compared to deliberate allocation according to public health need. Public health agencies can use local data to allocate in-kind resources consistent with health objectives; that is, in a manner offering the greatest potential health impact. Future analysis can determine whether the change to a more equitable allocation of resources is also more efficient, resulting in measurably improved public health outcomes. PMID:26890693

  3. An Efficient Radio Resource Allocation Scheme for Minimum Outage Probability Using Cooperation in OFDMA Systems

    NASA Astrophysics Data System (ADS)

    Jung, Junwoo; Park, Hyungwon; Lim, Jae-Sung

    Cooperation can increase the system performance by obtaining the spatial diversity. While most of the present works concentrate on the analysis of the cooperation based on the inter-user channel response and developing a scheme for higher cooperative diversity, in this paper, we focus on practical resource allocation in OFDMA systems. Since the user who uses the same center frequency can not receive the signal when transmitting, this constraint should be considered to apply the cooperation to OFDMA systems. In this paper, we propose the pair-based OFDMA frame structure that overcomes this constraint. Also in this frame structure to achieve the minimum outage probability of system, we select the best partner among the candidate neighbors and allocate the suitable subchannels to bandwidth requested users through a cooperative subchannel allocation (CSA) algorithm. In order to evaluate the proposed resource allocation scheme, we carry out simulations based on IEEE 802.16e. The simulation results show that our proposed algorithm offers smaller outage probability than one based on non-cooperative communications and we get the minimum outage probability when a threshold for selection of candidate neighbors is 10dB. We analyze that these results can be achieved by helping users located around the edge of the cell.

  4. Optimal Resource Allocation Policies for Multi-User Backscatter Communication Systems

    PubMed Central

    Lyu, Bin; Yang, Zhen; Gui, Guan; Feng, Youhong

    2016-01-01

    This paper considers a backscatter communication (BackCom) system including a reader and N tags, where each tag receives excitation signals transmitted by the reader and concurrently backscatters information to the reader in time-division-multiple-access (TDMA) mode. In this system, we aim to maximize the total system goodput by jointly optimizing reader transmission power, time allocation, and reflection ratio for the cases of passive and semi-passive tags. For each case, an optimization problem is formulated, which is non-convex and can be solved by being decomposed into at most N feasible sub-problems based on the priority of allocated reader transmission power. First, for the passive tags case, by solving the convex sub-problems sequentially and comparing their maximum total goodput, we derive the optimal resource allocation policy. Then, for the semi-passive tags case, we find a close-to-optimal solution, since each sub-problem can be reformulated as a biconvex problem, which is solved by a proposed block coordinate descent (BCD)-based optimization algorithm. Finally, simulation results demonstrate the superiority of the proposed resource allocation policies. PMID:27916825

  5. Network coding based joint signaling and dynamic bandwidth allocation scheme for inter optical network unit communication in passive optical networks

    NASA Astrophysics Data System (ADS)

    Wei, Pei; Gu, Rentao; Ji, Yuefeng

    2014-06-01

    As an innovative and promising technology, network coding has been introduced to passive optical networks (PON) in recent years to support inter optical network unit (ONU) communication, yet the signaling process and dynamic bandwidth allocation (DBA) in PON with network coding (NC-PON) still need further study. Thus, we propose a joint signaling and DBA scheme for efficiently supporting differentiated services of inter ONU communication in NC-PON. In the proposed joint scheme, the signaling process lays the foundation to fulfill network coding in PON, and it can not only avoid the potential threat to downstream security in previous schemes but also be suitable for the proposed hybrid dynamic bandwidth allocation (HDBA) scheme. In HDBA, a DBA cycle is divided into two sub-cycles for applying different coding, scheduling and bandwidth allocation strategies to differentiated classes of services. Besides, as network traffic load varies, the entire upstream transmission window for all REPORT messages slides accordingly, leaving the transmission time of one or two sub-cycles to overlap with the bandwidth allocation calculation time at the optical line terminal (the OLT), so that the upstream idle time can be efficiently eliminated. Performance evaluation results validate that compared with the existing two DBA algorithms deployed in NC-PON, HDBA demonstrates the best quality of service (QoS) support in terms of delay for all classes of services, especially guarantees the end-to-end delay bound of high class services. Specifically, HDBA can eliminate queuing delay and scheduling delay of high class services, reduce those of lower class services by at least 20%, and reduce the average end-to-end delay of all services over 50%. Moreover, HDBA also achieves the maximum delay fairness between coded and uncoded lower class services, and medium delay fairness for high class services.

  6. Acquisition and allocation of human, financial, and physical resources in the health care system.

    PubMed

    Abraham, Sam

    2011-01-01

    Based on the current financial status and forthcoming changes in the health care system, governing boards give chief executive officers the responsibility to manage human, financial, and physical resources. The role and degree of involvement of chief executive officers in managing resources--the resource allocation process, retention and recruitment, technology adaptation, reimbursement, and expansion of the outpatient program--are illustrated in this article. A new strategy for diverting resources to tap into the outpatient market is the appropriate direction to choose during days when the economy is down and people are not seeking inpatient treatment as in the past. Reimbursement in the future will depend on customer satisfaction scores; therefore, a dedicated and loyal staff is the most important resource for any service organization.

  7. Rational allocation of resources available for healthcare: understanding cost effectiveness analyst.

    PubMed

    Briggs, Andrew

    2014-01-01

    Health systems around the world are grappling with the difficult issue of how to allocate scare healthcare resources. Within Europe many different approaches to healthcare resource allocation exist, but it is clear that the formal techniques of cost-effectiveness analysis are becoming increasingly important. This presentation will first address the fundamental economic principles of scarcity and opportunity cost, before looking at how different European systems are attempting to address the economic challenge of providing healthcare for their population from a limited budget. The presentation will go on to consider general issues in health economic evaluation that are likely important for clinical community focused on HIV treatment: appropriate comparator treatments for defining opportunity cost, patient heterogeneity and the potential for personalized/stratified medicine to control costs and target treatment appropriately.

  8. Resource allocation in health care and the role of personal autonomy.

    PubMed

    Gandjour, A

    2015-03-01

    Resource allocation decisions in health care require the consideration of ethical values. Major ethical theories include Amartya Sen's capability approach, Norman Daniels's theory of justice for health, and preference utilitarian theory. This paper argues that while only preference utilitarian theory explicitly considers the impact of an individual's actions on others, all 3 theories agree in terms of providing individual autonomy. Furthermore, it shows that all 3 theories emphasise the role of informed preferences in securing individual autonomy. Still, stressing personal autonomy has limited direct implications for priority setting. 2 priority rules for resource allocation could be identified: 1) to give priority to patients with mental disability (over those with pure physical disability); and 2) to give priority to patients with a large expected loss of autonomy without treatment.

  9. A mechanism design approach to bandwidth allocation in tactical data networks

    NASA Astrophysics Data System (ADS)

    Mour, Ankur

    The defense sector is undergoing a phase of rapid technological advancement, in the pursuit of its goal of information superiority. This goal depends on a large network of complex interconnected systems - sensors, weapons, soldiers - linked through a maze of heterogeneous networks. The sheer scale and size of these networks prompt behaviors that go beyond conglomerations of systems or `system-of-systems'. The lack of a central locus and disjointed, competing interests among large clusters of systems makes this characteristic of an Ultra Large Scale (ULS) system. These traits of ULS systems challenge and undermine the fundamental assumptions of today's software and system engineering approaches. In the absence of a centralized controller it is likely that system users may behave opportunistically to meet their local mission requirements, rather than the objectives of the system as a whole. In these settings, methods and tools based on economics and game theory (like Mechanism Design) are likely to play an important role in achieving globally optimal behavior, when the participants behave selfishly. Against this background, this thesis explores the potential of using computational mechanisms to govern the behavior of ultra-large-scale systems and achieve an optimal allocation of constrained computational resources Our research focusses on improving the quality and accuracy of the common operating picture through the efficient allocation of bandwidth in tactical data networks among self-interested actors, who may resort to strategic behavior dictated by self-interest. This research problem presents the kind of challenges we anticipate when we have to deal with ULS systems and, by addressing this problem, we hope to develop a methodology which will be applicable for ULS system of the future. We build upon the previous works which investigate the application of auction-based mechanism design to dynamic, performance-critical and resource-constrained systems of interest

  10. 1 Canadian Forces Flying Training School (1 CFFTS) Resource Allocation Simulation Tool

    DTIC Science & Technology

    2011-12-01

    are sufficient. Obviously, takeoff and landing conditions must always be available in Winnipeg , MB where the school is located. The tool looks at the...working on training issues with 2 Canadian Air Division in Winnipeg , MB. He is an associate editor of INFOR. His current research interests are...TRAINING SCHOOL (1 CFFTS) RESOURCE ALLOCATION SIMULATION TOOL René Séguin Defence Research and Development Canada Box 17000 Station Forces

  11. Resources allocation in healthcare for cancer: a case study using generalised additive mixed models.

    PubMed

    Musio, Monica; Sauleau, Erik A; Augustin, Nicole H

    2012-11-01

    Our aim is to develop a method for helping resources re-allocation in healthcare linked to cancer, in order to replan the allocation of providers. Ageing of the population has a considerable impact on the use of health resources because aged people require more specialised medical care due notably to cancer. We propose a method useful to monitor changes of cancer incidence in space and time taking into account two age categories, according to healthcar general organisation. We use generalised additive mixed models with a Poisson response, according to the methodology presented in Wood, Generalised additive models: an introduction with R. Chapman and Hall/CRC, 2006. Besides one-dimensional smooth functions accounting for non-linear effects of covariates, the space-time interaction can be modelled using scale invariant smoothers. Incidence data collected by a general cancer registry between 1992 and 2007 in a specific area of France is studied. Our best model exhibits a strong increase of the incidence of cancer along time and an obvious spatial pattern for people more than 70 years with a higher incidence in the central band of the region. This is a strong argument for re-allocating resources for old people cancer care in this sub-region.

  12. Effects of generalist herbivory on resistance and resource allocation by the invasive plant, Phytolacca americana.

    PubMed

    Huang, Wei; Ding, Jianqing

    2016-04-01

    Successful invasions by exotic plants are often attributed to a loss of co-evolved specialists and a re-allocation of resources from defense to growth and reproduction. However, invasive plants are rarely completely released from insect herbivory because they are frequently attacked by generalists in their introduced ranges. The novel generalist community may also affect the invasive plant's defensive strategies and resource allocation. Here, we tested this hypothesis using American pokeweed (Phytolacca americana L.), a species that has become invasive in China, which is native to North America. We examined resistance, tolerance, growth and reproduction of plant populations from both China and the USA when plants were exposed to natural generalist herbivores in China. We found that leaf damage was greater for invasive populations than for native populations, indicating that plants from invasive ranges had lower resistance to herbivory than those from native ranges. A regression of the percentage of leaf damage against mass showed that there was no significant difference in tolerance between invasive and native populations, even though the shoot, root, fruit and total mass were larger for invasive populations than for native populations. These results suggest that generalist herbivores are important drivers mediating the defensive strategies and resource allocation of the invasive American pokeweed.

  13. Introduced and native congeners use different resource allocation strategies to maintain performance during infection.

    PubMed

    Coon, Courtney A C; Brace, Amber J; McWilliams, Scott R; McCue, Marshall D; Martin, Lynn B

    2014-01-01

    Abstract Hosts can manage parasitic infections using an array of tactics, which are likely to vary contingent on coevolutionary history between the host and the parasite. Here we asked whether coping ability of congeners that differ in host-parasite coevolutionary history differed in response to experimental infections with a coccidian parasite. House sparrows (Passer domesticus) and gray-headed sparrows (Passer griseus) are sympatric and ecologically similar, but house sparrows are recent colonizers of Kenya, the site of our comparison, whereas gray-headed sparrows are native. We evaluated three variables as barometers of infection coping ability: vertical flight, pectoral muscle size, and fat score. We also measured routing of a dose of (13)C-labeled leucine, an essential amino acid, among tissues to compare resource allocation strategies in response to infection. We found that burden effects on performance were minimal in both species, but house sparrows maintained considerably higher burdens than gray-headed sparrows regardless of exposure. House sparrows also had more exogeneous leucine tracer in all tissues after 24 h, demonstrating a difference in the way the two species allocate or distribute resources. We argue that house sparrows may be maintaining larger resource reserves to mitigate costs associated with exposure and infection. Additionally, in response to increased parasite exposure, gray-headed sparrows had less leucine tracer in their spleens and more in their gonads, whereas house sparrows did not change allocation, perhaps indicating a trade-off that is not experienced by the introduced species.

  14. Develop feedback system for intelligent dynamic resource allocation to improve application performance.

    SciTech Connect

    Gentile, Ann C.; Brandt, James M.; Tucker, Thomas; Thompson, David

    2011-09-01

    This report provides documentation for the completion of the Sandia Level II milestone 'Develop feedback system for intelligent dynamic resource allocation to improve application performance'. This milestone demonstrates the use of a scalable data collection analysis and feedback system that enables insight into how an application is utilizing the hardware resources of a high performance computing (HPC) platform in a lightweight fashion. Further we demonstrate utilizing the same mechanisms used for transporting data for remote analysis and visualization to provide low latency run-time feedback to applications. The ultimate goal of this body of work is performance optimization in the face of the ever increasing size and complexity of HPC systems.

  15. Enhanced Forecasting and Allocation of Army Recruiting Resource Study (FAARRS-SHARE)

    DTIC Science & Technology

    1993-08-01

    AD-A270 880 Study Note 93-03 Enhanced Forecasting and Allocation of Army Recruiting Resource Study (FAARRS-SHARE) Abraham Charnes, Boaz Golany, Moshe...D ist. iL c ..iL y Codes I [ Av,!-J dIor Technical Review by Dist 6pucial Abraham Nelson NOTICES DISTRIBUTION The report has been...Resource Study (FAARRS-SHARE) 65803D 730 6. AUTHOR(S) 2106 Charnes, Abraham ; Golany, Boaz; Kress, Moshe; Pitaktong, C04 Utai; Rousseau, John; Semple, John

  16. Allocating resources during a crisis: you can't always get what you want.

    PubMed

    Hick, John L; DeVries, Aaron S; Fink-Kocken, Paula; Braun, Jane E; Marchetti, Judy

    2012-04-01

    During a disaster or disease outbreak, health care providers may have to make difficult decisions about how to allocate scarce resources. A committee convened by the Minnesota Department of Health has recently focused on this issue as part of statewide disaster preparedness planning. This article presents the group's recommendation that health care facilities need to plan for shortages and introduces resources and strategies that can be used in planning. It also discusses ethical considerations that must be taken into account when shortages occur and decisions must be made about how to distribute equipment, supplies, or medications in short supply.

  17. Allocation of health care resources in the neonatal and perinatal area -CPS Symposium 1996.

    PubMed

    McMillan, D; Lee, S; Serediak, M; Finn, J; Saigal, S; Walker, C

    1999-01-01

    There have been publically expressed concerns about the costs and allocation of neonatal and perinatal health care resources in Canada and elsewhere for the past 15 years. This paper reports information from a symposium held during the 1996 Canadian Paediatric Society (CPS) annual meeting sponsored by the CPS Section on Perinatal Medicine. Experts in perinatal epidemiology, health care economics, public policy and finance, and consumer perspectives on the outcomes of neonatal and perinatal intensive care explored the following questions: How should the need for health care resources in the neonatal and perinatal area be objectively determined? When there are competing needs between the maternal-newborn area and other areas, how should these be rationalized? What evidence should be used (or should be available) to support the present use of resources? What evidence should be available (or is needed) to change or introduce new uses of resources? The conclusions indicated that there are no generally accepted methods to determine the allocation of health care resources but that considerations need to include population characteristics, desired outcomes, achievable results, values, ethics, legalities, cost-benefit analyses and political objectives. Information from families and adolescents who required the use of high technology and/or high cost programs will contribute individual, family and societal values that complement cost-efficacy analyses.

  18. Resource allocation of in vitro fertilization: a nationwide register-based cohort study

    PubMed Central

    Klemetti, Reija; Gissler, Mika; Sevón, Tiina; Hemminki, Elina

    2007-01-01

    Background Infertility is common and in vitro fertilization (IVF) is a widely used treatment. In IVF the need increases and the effectiveness and appropriateness decrease by age. The purpose of this study was to describe allocation of resources for IVF by women's age, socioeconomic position, area of residence and treatment sector (public vs. private) and to discuss how fairly the IVF resources are allocated in Finland. Methods Women who received IVF between 1996 and 1998 (N = 9175) were identified from the reimbursement records of the Social Insurance Institution (SII). Information on IVF women's background characteristics came from the Central Population Register and the SII, on treatment costs from IVF clinics and the SII, and on births from the Medical Birth Register. The main outcome measures were success of IVF by number of cycles and treated women, expenditures per IVF cycles, per women, per live-birth, and per treatment sector, and private and public expenditures. Expenditures were estimated from health care visits and costs. Results During a mean period of 1.5 years, older women (women aged 40 or older) received 1.4 times more IVF treatment cycles than younger women (women aged below 30). The success rate decreased by age: from 22 live births per 100 cycles among younger women to 6 per 100 among older women. The mean cost of a live birth increased by age: compared to younger women, costs per born live birth of older women were 3-fold. Calculated by population, public expenditure was allocated most to young women and women from the highest socioeconomic position. Regional differences were not remarkable. Conclusion Children of older infertile women involve more expense due to the lower success rates of IVF. Socioeconomic differences suggest unfair resource allocation in Finland. PMID:18154645

  19. Social Network Resources and Management of Hypertension*

    PubMed Central

    Cornwell, Erin York; Waite, Linda J.

    2013-01-01

    Hypertension is one of the most prevalent chronic diseases among older adults, but rates of blood pressure control are low. In this paper, we explore the role of social network ties and network-based resources (e.g., information and support) in hypertension diagnosis and management. We use data from the National Social Life, Health, and Aging Project (NSHAP) to identify older adults with undiagnosed or uncontrolled hypertension. We find that network characteristics and emotional support are associated with hypertension diagnosis and control. Importantly, the risks of undiagnosed and uncontrolled hypertension are lower among those with larger social networks -- if they discuss health issues with their network members. When these lines of communication are closed, network size is associated with greater risk of undiagnosed and uncontrolled hypertension. Health care utilization partially mediates associations with diagnosis, but the benefits of network resources for hypertension control do not seem to stem from health-related behaviors. PMID:22660826

  20. Neural Network Based Modeling and Analysis of LP Control Surface Allocation

    NASA Technical Reports Server (NTRS)

    Langari, Reza; Krishnakumar, Kalmanje; Gundy-Burlet, Karen

    2003-01-01

    This paper presents an approach to interpretive modeling of LP based control allocation in intelligent flight control. The emphasis is placed on a nonlinear interpretation of the LP allocation process as a static map to support analytical study of the resulting closed loop system, albeit in approximate form. The approach makes use of a bi-layer neural network to capture the essential functioning of the LP allocation process. It is further shown via Lyapunov based analysis that under certain relatively mild conditions the resulting closed loop system is stable. Some preliminary conclusions from a study at Ames are stated and directions for further research are given at the conclusion of the paper.

  1. Spectrum sensing and resource allocation for multicarrier cognitive radio systems under interference and power constraints

    NASA Astrophysics Data System (ADS)

    Dikmese, Sener; Srinivasan, Sudharsan; Shaat, Musbah; Bader, Faouzi; Renfors, Markku

    2014-12-01

    Multicarrier waveforms have been commonly recognized as strong candidates for cognitive radio. In this paper, we study the dynamics of spectrum sensing and spectrum allocation functions in cognitive radio context using very practical signal models for the primary users (PUs), including the effects of power amplifier nonlinearities. We start by sensing the spectrum with energy detection-based wideband multichannel spectrum sensing algorithm and continue by investigating optimal resource allocation methods. Along the way, we examine the effects of spectral regrowth due to the inevitable power amplifier nonlinearities of the PU transmitters. The signal model includes frequency selective block-fading channel models for both secondary and primary transmissions. Filter bank-based wideband spectrum sensing techniques are applied for detecting spectral holes and filter bank-based multicarrier (FBMC) modulation is selected for transmission as an alternative multicarrier waveform to avoid the disadvantage of limited spectral containment of orthogonal frequency-division multiplexing (OFDM)-based multicarrier systems. The optimization technique used for the resource allocation approach considered in this study utilizes the information obtained through spectrum sensing and knowledge of spectrum leakage effects of the underlying waveforms, including a practical power amplifier model for the PU transmitter. This study utilizes a computationally efficient algorithm to maximize the SU link capacity with power and interference constraints. It is seen that the SU transmission capacity depends critically on the spectral containment of the PU waveform, and these effects are quantified in a case study using an 802.11-g WLAN scenario.

  2. The cactus worm : experiments with dynamic resource discovery and allocation in a grid environment.

    SciTech Connect

    Allen, G.; Angulo, D.; Foster, I.; Lanfermann, G.; Liu, C.; Radke, T.; Seidel, E.; Shalf, J.; Mathematics and Computer Science; Albert-Einstein-Inst.; Univ. of Chicago; LBNL

    2001-01-01

    The ability to harness heterogeneous, dynamically available grid resources is attractive to typically resource-starved computational scientists and engineers, as in principle it can increase, by significant factors, the number of cycles that can be delivered to applications. However, new adaptive application structures and dynamic runtime system mechanisms are required if we are to operate effectively in grid environments. To explore some of these issues in a practical setting, the authors are developing an experimental framework, called Cactus, that incorporates both adaptive application structures for dealing with changing resource characteristics and adaptive resource selection mechanisms that allow applications to change their resource allocations (e.g., via migration) when performance falls outside specified limits. The authors describe the adaptive resource selection mechanisms and describe how they are used to achieve automatic application migration to 'better' resources following performance degradation. The results provide insights into the architectural structures required to support adaptive resource selection. In addition, the authors suggest that the Cactus Worm affords many opportunities for grid computing.

  3. Shifting resource availability, plastic allocation to exoenzymes and the consequences for heterotrophic soil respiration

    NASA Astrophysics Data System (ADS)

    Ballantyne, Ford; Billings, Sharon

    2014-05-01

    The rate of decomposition of soil organic matter (SOM) is influenced by the availability of substrates in the soil matrix, the chemical composition of organic matters substrates, and the reaction kinetics of exoenzymes secreted by microbes. Predicting carbon (C) flow from SOM into respired CO2 is predicated on knowledge of feedbacks between substrate availability and microbial resource allocation. It is critical to understand physiological responses of microbes to their environments because it is the feedbacks between the abiotic conditions and resource availability that govern exoenzyme synthesis. Without mechanistic knowledge, it is difficult to project how warming and changing edaphic characteristics will influence respiratory CO2 losses from soils. Here, we apply a general theoretical framework that describes the consequences of interactions between exoenzymes, SOM substrates, microbial resource allocation and microbial stoichiometry to explore how different edaphic conditions give rise to different microbial niches. Our approach incorporates the kinetics of exoenzyme-substrate interactions, the costs and benefits associated with producing different exoenzymes, regulation of biomass C:N, and substrate availability in the soil matrix. We explore how shifting resource availability forces microbes to alter their strategies for synthesizing exoenzymes to promote acquisition of C and N that satisfies demand. In particular, we study how changing relative C and N availability constrain the degree to biomass C:N can be maintained with plastic allocation to different exoenzymes. Using reaction rate data from purified enzyme-substrate experiments, we conclude that shifts in both the absolute and relative availability of substrates with different C:N give rise to clear niches in C and N allocation space. These niches correspond to environments that are typically associated with soil microbes exhibiting different biomass C:N. Finally, we show that the allocation changes

  4. PIYAS-Proceeding to Intelligent Service Oriented Memory Allocation for Flash Based Data Centric Sensor Devices in Wireless Sensor Networks

    PubMed Central

    Rizvi, Sanam Shahla; Chung, Tae-Sun

    2010-01-01

    Flash memory has become a more widespread storage medium for modern wireless devices because of its effective characteristics like non-volatility, small size, light weight, fast access speed, shock resistance, high reliability and low power consumption. Sensor nodes are highly resource constrained in terms of limited processing speed, runtime memory, persistent storage, communication bandwidth and finite energy. Therefore, for wireless sensor networks supporting sense, store, merge and send schemes, an efficient and reliable file system is highly required with consideration of sensor node constraints. In this paper, we propose a novel log structured external NAND flash memory based file system, called Proceeding to Intelligent service oriented memorY Allocation for flash based data centric Sensor devices in wireless sensor networks (PIYAS). This is the extended version of our previously proposed PIYA [1]. The main goals of the PIYAS scheme are to achieve instant mounting and reduced SRAM space by keeping memory mapping information to a very low size of and to provide high query response throughput by allocation of memory to the sensor data by network business rules. The scheme intelligently samples and stores the raw data and provides high in-network data availability by keeping the aggregate data for a longer period of time than any other scheme has done before. We propose effective garbage collection and wear-leveling schemes as well. The experimental results show that PIYAS is an optimized memory management scheme allowing high performance for wireless sensor networks. PMID:22315541

  5. PIYAS-proceeding to intelligent service oriented memory allocation for flash based data centric sensor devices in wireless sensor networks.

    PubMed

    Rizvi, Sanam Shahla; Chung, Tae-Sun

    2010-01-01

    Flash memory has become a more widespread storage medium for modern wireless devices because of its effective characteristics like non-volatility, small size, light weight, fast access speed, shock resistance, high reliability and low power consumption. Sensor nodes are highly resource constrained in terms of limited processing speed, runtime memory, persistent storage, communication bandwidth and finite energy. Therefore, for wireless sensor networks supporting sense, store, merge and send schemes, an efficient and reliable file system is highly required with consideration of sensor node constraints. In this paper, we propose a novel log structured external NAND flash memory based file system, called Proceeding to Intelligent service oriented memorY Allocation for flash based data centric Sensor devices in wireless sensor networks (PIYAS). This is the extended version of our previously proposed PIYA [1]. The main goals of the PIYAS scheme are to achieve instant mounting and reduced SRAM space by keeping memory mapping information to a very low size of and to provide high query response throughput by allocation of memory to the sensor data by network business rules. The scheme intelligently samples and stores the raw data and provides high in-network data availability by keeping the aggregate data for a longer period of time than any other scheme has done before. We propose effective garbage collection and wear-leveling schemes as well. The experimental results show that PIYAS is an optimized memory management scheme allowing high performance for wireless sensor networks.

  6. Interactive effects of pollination and heavy metals on resource allocation in Potentilla anserina L.

    SciTech Connect

    Saikkonen, K. |; Koivunen, S.; Vuorisalo, T.; Mutikainen, P. |

    1998-07-01

    The authors studied resource allocation between sexual reproduction and clonal propagation in a perennial stoloniferous clonal plant, Potentilla anserina, an obligate outcrosser. They manipulated reproductive effort of Potentilla anserina either by hand-pollinating all flowers or by preventing pollination. To test the effect of resource-limiting conditions on resource allocation and reproductive output, the authors used a control and two levels of heavy metals (copper and nickel) to limit plant growth. The experiment was conducted as a 2 {times} 3 factorial design to reveal possible interactions between reproductive manipulation and resource limitation. Heavy metals decreased the total biomass of the plants and number of flowers and ramets produced. Only 50% of the plants grown with the higher level of heavy metals produced flowers. Pollination treatment interacted significantly with the heavy-metal treatment. In the metal control and lower heavy-metal treatment, there were no significant differences in total vegetative biomass between the two pollination treatments. Costs of reproduction in terms of subsequent flowering in the later season appeared to be clear, because the number of flowers per whole plant was lower if the plants were hand-pollinated and because the proportion of flowering ramets decreased due to hand-pollination. However, flowering may also be partly hormonally controlled. In contrast, hand-pollinated plants exposed to high concentrations of heavy metals tended to have greater biomass of vegetative plant structures and higher number of flowers compared to nonpollinated plants.

  7. How SmithKline Beecham makes better resource-allocation decisions.

    PubMed

    Sharpe, P; Keelin, T

    1998-01-01

    Major resource-allocation decisions are never easy. For a pharmaceuticals company like SmithKline Beecham, the problem is this: How do you make good decisions in a high-risk, technically complex business when the information you need to make those decisions comes largely from the project champions who are competing against one another for resources? In 1993, the company experimented with ways of depoliticizing the process and improving the quality of decision making. In most resource-allocation processes, project advocates develop a single plan of action and present it as the only viable approach. In SB's new process, the company found an effective way to get around the all-or-nothing thinking that only reinforces the project-champion culture. Project teams were required--and helped--to create meaningful alternatives to current development plans. What would they do with more money? With less? With none at all? In another important departure from common practice, SB separated the discussion of project alternatives from their financial evaluations. In doing so, SB was able to avoid the premature evaluations that kill both creativity and the opportunity to improve decision making. The new process at SB has allowed the organization to spend less time arguing about how to value its R&D projects and more time figuring out how to make them more valuable. In the end, the company learned that by tackling the soft issues around resource allocation--such as information quality, credibility, and trust--it had also addressed the hard ones: how much to invest and where to invest it.

  8. Integration of Networked Learning Resources in Schools.

    ERIC Educational Resources Information Center

    Ward, Nigel; Fankhauser, Rae; Turner, Margaret

    In 1998, the EdNA/CESCEO Schools Advisory Group (SAG) formed the Networked Learning Resources Working Group to investigate issues surrounding the provision, optimum integration and management of Australian digital learning resources. The Working Group contracted DSTC Pty Ltd, in conjunction with the services of an independent specialist in schools…

  9. A decision-analytic approach to the optimal allocation of resources for endangered species consultation

    USGS Publications Warehouse

    Converse, Sarah J.; Shelley, Kevin J.; Morey, Steve; Chan, Jeffrey; LaTier, Andrea; Scafidi, Carolyn; Crouse, Deborah T.; Runge, Michael C.

    2011-01-01

    The resources available to support conservation work, whether time or money, are limited. Decision makers need methods to help them identify the optimal allocation of limited resources to meet conservation goals, and decision analysis is uniquely suited to assist with the development of such methods. In recent years, a number of case studies have been described that examine optimal conservation decisions under fiscal constraints; here we develop methods to look at other types of constraints, including limited staff and regulatory deadlines. In the US, Section Seven consultation, an important component of protection under the federal Endangered Species Act, requires that federal agencies overseeing projects consult with federal biologists to avoid jeopardizing species. A benefit of consultation is negotiation of project modifications that lessen impacts on species, so staff time allocated to consultation supports conservation. However, some offices have experienced declining staff, potentially reducing the efficacy of consultation. This is true of the US Fish and Wildlife Service's Washington Fish and Wildlife Office (WFWO) and its consultation work on federally-threatened bull trout (Salvelinus confluentus). To improve effectiveness, WFWO managers needed a tool to help allocate this work to maximize conservation benefits. We used a decision-analytic approach to score projects based on the value of staff time investment, and then identified an optimal decision rule for how scored projects would be allocated across bins, where projects in different bins received different time investments. We found that, given current staff, the optimal decision rule placed 80% of informal consultations (those where expected effects are beneficial, insignificant, or discountable) in a short bin where they would be completed without negotiating changes. The remaining 20% would be placed in a long bin, warranting an investment of seven days, including time for negotiation. For formal

  10. Using bi-directional communications in a market-based resource allocation system

    DOEpatents

    Chassin, David P; Pratt, Robert G

    2015-05-05

    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.

  11. Using bi-directional communications in a market-based resource allocation system

    DOEpatents

    Chassin, David P.; Pratt, Robert G.

    2015-09-08

    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.

  12. Using bi-directional communications in a market-based resource allocation system

    DOEpatents

    Chassin, David P; Pratt, Robert G

    2014-04-01

    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.

  13. Electric power grid control using a market-based resource allocation system

    DOEpatents

    Chassin, David P

    2014-01-28

    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.

  14. Electric power grid control using a market-based resource allocation system

    DOEpatents

    Chassin, David P.

    2015-07-21

    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.

  15. Using one-way communications in a market-based resource allocation system

    DOEpatents

    Chassin, David P.; Pratt, Robert G.

    2014-07-22

    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.

  16. Geographic Resource Allocation Based on Cost Effectiveness: An Application to Malaria Policy.

    PubMed

    Drake, Tom L; Lubell, Yoel; Kyaw, Shwe Sin; Devine, Angela; Kyaw, Myat Phone; Day, Nicholas P J; Smithuis, Frank M; White, Lisa J

    2017-02-10

    Healthcare services are often provided to a country as a whole, though in many cases the available resources can be more effectively targeted to specific geographically defined populations. In the case of malaria, risk is highly geographically heterogeneous, and many interventions, such as insecticide-treated bed nets and malaria community health workers, can be targeted to populations in a way that maximises impact for the resources available. This paper describes a framework for geographically targeted budget allocation based on the principles of cost-effectiveness analysis and applied to priority setting in malaria control and elimination. The approach can be used with any underlying model able to estimate intervention costs and effects given relevant local data. Efficient geographic targeting of core malaria interventions could significantly increase the impact of the resources available, accelerating progress towards elimination. These methods may also be applicable to priority setting in other disease areas.

  17. Game Theoretic Modeling of Water Resources Allocation Under Hydro-Climatic Uncertainty

    NASA Astrophysics Data System (ADS)

    Brown, C.; Lall, U.; Siegfried, T.

    2005-12-01

    Typical hydrologic and economic modeling approaches rely on assumptions of climate stationarity and economic conditions of ideal markets and rational decision-makers. In this study, we incorporate hydroclimatic variability with a game theoretic approach to simulate and evaluate common water allocation paradigms. Game Theory may be particularly appropriate for modeling water allocation decisions. First, a game theoretic approach allows economic analysis in situations where price theory doesn't apply, which is typically the case in water resources where markets are thin, players are few, and rules of exchange are highly constrained by legal or cultural traditions. Previous studies confirm that game theory is applicable to water resources decision problems, yet applications and modeling based on these principles is only rarely observed in the literature. Second, there are numerous existing theoretical and empirical studies of specific games and human behavior that may be applied in the development of predictive water allocation models. With this framework, one can evaluate alternative orderings and rules regarding the fraction of available water that one is allowed to appropriate. Specific attributes of the players involved in water resources management complicate the determination of solutions to game theory models. While an analytical approach will be useful for providing general insights, the variety of preference structures of individual players in a realistic water scenario will likely require a simulation approach. We propose a simulation approach incorporating the rationality, self-interest and equilibrium concepts of game theory with an agent-based modeling framework that allows the distinct properties of each player to be expressed and allows the performance of the system to manifest the integrative effect of these factors. Underlying this framework, we apply a realistic representation of spatio-temporal hydrologic variability and incorporate the impact of

  18. Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks

    PubMed Central

    Leão, Erico; Montez, Carlos; Moraes, Ricardo; Portugal, Paulo; Vasques, Francisco

    2017-01-01

    The use of Wireless Sensor Network (WSN) technologies is an attractive option to support wide-scale monitoring applications, such as the ones that can be found in precision agriculture, environmental monitoring and industrial automation. The IEEE 802.15.4/ZigBee cluster-tree topology is a suitable topology to build wide-scale WSNs. Despite some of its known advantages, including timing synchronisation and duty-cycle operation, cluster-tree networks may suffer from severe network congestion problems due to the convergecast pattern of its communication traffic. Therefore, the careful adjustment of transmission opportunities (superframe durations) allocated to the cluster-heads is an important research issue. This paper proposes a set of proportional Superframe Duration Allocation (SDA) schemes, based on well-defined protocol and timing models, and on the message load imposed by child nodes (Load-SDA scheme), or by number of descendant nodes (Nodes-SDA scheme) of each cluster-head. The underlying reasoning is to adequately allocate transmission opportunities (superframe durations) and parametrize buffer sizes, in order to improve the network throughput and avoid typical problems, such as: network congestion, high end-to-end communication delays and discarded messages due to buffer overflows. Simulation assessments show how proposed allocation schemes may clearly improve the operation of wide-scale cluster-tree networks. PMID:28134822

  19. Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks.

    PubMed

    Leão, Erico; Montez, Carlos; Moraes, Ricardo; Portugal, Paulo; Vasques, Francisco

    2017-01-27

    The use ofWireless Sensor Network (WSN) technologies is an attractive option to support wide-scale monitoring applications, such as the ones that can be found in precision agriculture, environmental monitoring and industrial automation. The IEEE 802.15.4/ZigBee cluster-tree topology is a suitable topology to build wide-scale WSNs. Despite some of its known advantages, including timing synchronisation and duty-cycle operation, cluster-tree networks may suffer from severe network congestion problems due to the convergecast pattern of its communication traffic. Therefore, the careful adjustment of transmission opportunities (superframe durations) allocated to the cluster-heads is an important research issue. This paper proposes a set of proportional Superframe Duration Allocation (SDA) schemes, based on well-defined protocol and timing models, and on the message load imposed by child nodes (Load-SDA scheme), or by number of descendant nodes (Nodes-SDA scheme) of each cluster-head. The underlying reasoning is to adequately allocate transmission opportunities (superframe durations) and parametrize buffer sizes, in order to improve the network throughput and avoid typical problems, such as: network congestion, high end-to-end communication delays and discarded messages due to buffer overflows. Simulation assessments show how proposed allocation schemes may clearly improve the operation of wide-scale cluster-tree networks.

  20. Resource allocation in an annual herb: Effects of light, mycorrhizal fungi, and defoliation

    NASA Astrophysics Data System (ADS)

    Aguilar-Chama, Ana; Guevara, Roger

    2016-02-01

    Concurrent interactions and the availability of resources (e.g., light) affect the cost/benefit balance during mutualistic and antagonistic interactions, as well as plant resource allocation patterns. Mycorrhizal interactions and herbivory concur in most plants, where mycorrhizae can enhance the uptake of soil nutrients by plants as well as consuming a large fraction of the plant's carbon, and defoliation usually reduces light interception and photosynthesis, thereby causing direct losses to the hosts of mycorrhizal fungi. Both types of interactions affect the carbon budget of their host plants and thus we predict that the relative costs of herbivory and mycorrhizal colonization will increase when photosynthesis is reduced, for instance in light limited environments. We conducted a greenhouse experiment using Datura stramonium to investigate the effects of defoliation and mycorrhizal inoculation on the resource allocation patterns in two different light environments. Defoliated plants overcompensated in terms of leaf mass in both light environments, but total seed mass per fruit was negatively affected by defoliation in both light environments. Mycorrhizal inoculation had a positive effect on vegetative growth and the leaf nitrogen content, but defoliation negates the benefit of mycorrhizal interactions in terms of the leaf nitrogen content. In general, D. stramonium compensated for the relative costs of concurrent mycorrhizal interactions and defoliation; plants that lacked both interactions exhibited the same performance as plants with both types of interactions.

  1. Allocation of scarce resources after a nuclear detonation: setting the context.

    PubMed

    Knebel, Ann R; Coleman, C Norman; Cliffer, Kenneth D; Murrain-Hill, Paula; McNally, Richard; Oancea, Victor; Jacobs, Jimmie; Buddemeier, Brooke; Hick, John L; Weinstock, David M; Hrdina, Chad M; Taylor, Tammy; Matzo, Marianne; Bader, Judith L; Livinski, Alicia A; Parker, Gerald; Yeskey, Kevin

    2011-03-01

    The purpose of this article is to set the context for this special issue of Disaster Medicine and Public Health Preparedness on the allocation of scarce resources in an improvised nuclear device incident. A nuclear detonation occurs when a sufficient amount of fissile material is brought suddenly together to reach critical mass and cause an explosion. Although the chance of a nuclear detonation is thought to be small, the consequences are potentially catastrophic, so planning for an effective medical response is necessary, albeit complex. A substantial nuclear detonation will result in physical effects and a great number of casualties that will require an organized medical response to save lives. With this type of incident, the demand for resources to treat casualties will far exceed what is available. To meet the goal of providing medical care (including symptomatic/palliative care) with fairness as the underlying ethical principle, planning for allocation of scarce resources among all involved sectors needs to be integrated and practiced. With thoughtful and realistic planning, the medical response in the chaotic environment may be made more effective and efficient for both victims and medical responders.

  2. Females Paired with New and Heavy Mates Reduce Intra-Clutch Differences in Resource Allocation

    PubMed Central

    Poisbleau, Maud; Dehnhard, Nina; Demongin, Laurent; Parenteau, Charline; Quillfeldt, Petra; Eens, Marcel

    2013-01-01

    Reproductive investment affects both offspring and parental fitness and influences the evolution of life histories. Females may vary their overall primary reproductive effort in relation to the phenotypic characteristics of their mate. However, the effects of male quality on differential resource allocation within clutches have been largely neglected despite the potential implications for mate choice and population dynamics, especially in species exhibiting biparental care and brood reduction. Female southern rockhopper penguins Eudyptes chrysocome paired with heavy mates reduced intra-clutch variation in egg and albumen masses. Females paired with new mates also reduced intra-clutch variation in yolk androgen levels. Since both an increased mass and increased androgen concentrations positively influence chick survival under sibling competition, the chances of fledging the whole clutch are likely to be higher for newly formed pairs with heavy males than for previously formed pairs with light males. Interestingly, total clutch provisioning did not vary with male quality. We show for the first time that females vary intra-clutch variation in resource allocation according to male quality. In species with brood reduction, it may be more adaptive for females to modulate the distribution of resources within the clutch according to breeding conditions, than to change their total clutch provisioning. PMID:23967280

  3. The Sicker Sex: Understanding Male Biases in Parasitic Infection, Resource Allocation and Fitness

    PubMed Central

    Córdoba-Aguilar, Alex; Munguía-Steyer, Roberto

    2013-01-01

    The “sicker sex” idea summarizes our knowledge of sex biases in parasite burden and immune ability whereby males fare worse than females. The theoretical basis of this is that because males invest more on mating effort than females, the former pay the costs by having a weaker immune system and thus being more susceptible to parasites. Females, conversely, have a greater parental investment. Here we tested the following: a) whether both sexes differ in their ability to defend against parasites using a natural host-parasite system; b) the differences in resource allocation conflict between mating effort and parental investment traits between sexes; and, c) effect of parasitism on survival for both sexes. We used a number of insect damselfly species as study subjects. For (a), we quantified gregarine and mite parasites, and experimentally manipulated gregarine levels in both sexes during adult ontogeny. For (b), first, we manipulated food during adult ontogeny and recorded thoracic fat gain (a proxy of mating effort) and abdominal weight (a proxy of parental investment) in both sexes. Secondly for (b), we manipulated food and gregarine levels in both sexes when adults were about to become sexually mature, and recorded gregarine number. For (c), we infected male and female adults of different ages and measured their survival. Males consistently showed more parasites than females apparently due to an increased resource allocation to fat production in males. Conversely, females invested more on abdominal weight. These differences were independent of how much food/infecting parasites were provided. The cost of this was that males had more parasites and reduced survival than females. Our results provide a resource allocation mechanism for understanding sexual differences in parasite defense as well as survival consequences for each sex. PMID:24194830

  4. The dynamics of resource allocation and costs of reproduction in a sexually dimorphic, wind-pollinated dioecious plant.

    PubMed

    Teitel, Z; Pickup, M; Field, D L; Barrett, S C H

    2016-01-01

    Sexual dimorphism in resource allocation is expected to change during the life cycle of dioecious plants because of temporal differences between the sexes in reproductive investment. Given the potential for sex-specific differences in reproductive costs, resource availability may contribute to variation in reproductive allocation in females and males. Here, we used Rumex hastatulus, a dioecious, wind-pollinated annual plant, to investigate whether sexual dimorphism varies with life-history stage and nutrient availability, and determine whether allocation patterns differ depending on reproductive commitment. To examine if the costs of reproduction varied between the sexes, reproduction was either allowed or prevented through bud removal, and biomass allocation was measured at maturity. In a second experiment to assess variation in sexual dimorphism across the life cycle, and whether this varied with resource availability, plants were grown in high and low nutrients and allocation to roots, aboveground vegetative growth and reproduction were measured at three developmental stages. Males prevented from reproducing compensated with increased above- and belowground allocation to a much larger degree than females, suggesting that male reproductive costs reduce vegetative growth. The proportional allocation to roots, reproductive structures and aboveground vegetative growth varied between the sexes and among life-cycle stages, but not with nutrient treatment. Females allocated proportionally more resources to roots than males at peak flowering, but this pattern was reversed at reproductive maturity under low-nutrient conditions. Our study illustrates the importance of temporal dynamics in sex-specific resource allocation and provides support for high male reproductive costs in wind-pollinated plants.

  5. Resource Allocation and Cross Layer Control in Wireless Networks

    DTIC Science & Technology

    2006-08-25

    nontrivial manner in order to support information transfer. In this paper we will present abstract models that capture the cross layer interaction from the...nontrivial manner in order to support information transfer. In this paper we will present abstract models that capture the cross layer inter- action from...parameters of the others. Our cross-layer model in this paper captures the interaction of these mechanisms, where all the physical and access layer

  6. Resource Allocation Support System (RASS): Summary report of the 1992 pilot study

    SciTech Connect

    Buehring, W.A.; Whitfield, R.G.; Wolsko, T.D.; Kier, P.H.; Absil, M.J.G.; Jusko, M.J.; Sapinski, P.F.

    1993-02-01

    The Resource Allocation Support System (RASS) is a decision-aiding system being developed to assist the US Department of Energy`s (DOE`s) Office of Waste Management in program and budget decision making. Four pilot studies were conducted at DOE field offices in summer 1992 to evaluate and improve the RASS design. This report summarizes the combined results of the individual field office pilot studies. Results are presented from different perspectives to illustrate the type of information that would be available from RASS. Lessons learned and directions for future RASS developments are also presented.

  7. Instructions for the preparation of Resource Allocation Support System (RASS) data forms

    SciTech Connect

    Baldwin, T.E.; Buehring, W.A.; Jusko, M.J.; Keisler, J.M.; Whitfield, R.G.; Wolsko, T.D.

    1994-03-01

    The Resource Allocation Support System (RASS) is a decision-aiding system being developed to assist the US Department of Energy`s Office of Waste Management in program and budget decision making. Information about proposed work, developed by DOE program managers and contractors, comprises what is called the RASS database. A set of data forms and worksheets (paper copies) are provided to record information that will be entered into the RASS database. This report contains instructions for preparing the data forms and worksheets.

  8. Reconstructionist Confucianism and health care: an Asian moral account of health care resource allocation.

    PubMed

    Fan, Ruiping

    2002-12-01

    In this article, I offer an abridged reconstruction of the foundational elements of Confucian moral commitments, which, I will argue, still provide the background moral substance for moral reflection in mainland China, Hong Kong, Taiwan, Singapore, and Korea. The essay presents implications of Confucianism for establishing an appropriate health care system and critically assesses the features of current health polices in mainland China, Hong Kong, and Singapore. The goal is to offer a family-oriented, non-individualist account of resource allocation that takes family authority and responsibility seriously.

  9. Iterative-deepening heuristic search for optimal and semi-optimal resource allocation

    NASA Technical Reports Server (NTRS)

    Bridges, Susan M.; Johannes, James D.

    1987-01-01

    It is demonstrated that when iterative-deepening A asterisk (IDA asterisk) is applied to one type of resource allocation problem, it uses far less storage than A asterisk, but opens far more nodes and thus has unacceptable time complexity. This is shown to be due, at least in part, to the low-valued effective branching factor that is a characteristic of problems with real-valued cost functions. The semi-optimal, epsilon-admissible IDA asterisk sub epsilon search algorithm that the authors described was shown to open fewer nodes than both A asterisk and IDA asterisk with storage complexity proportional to the depth of the search tree.

  10. Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation.

    PubMed

    Gharouni, Ali; Wang, Lin

    2016-10-01

    A patch-structured multigroup-like $SIS$ epidemiological model is proposed to study the spread of the common bed bug infestation. It is shown that the model exhibits global threshold dynamics with the basic reproduction number as the threshold parameter. Costs associated with the disinfestation process are incorporated into setting up the optimization problems. Procedures are proposed and simulated for finding optimal resource allocation strategies to achieve the infestation free state. Our analysis and simulations provide useful insights on how to efficiently distribute the available exterminators among the infested patches for optimal disinfestation management.

  11. Application of portfolio theory to risk-based allocation of surveillance resources in animal populations.

    PubMed

    Prattley, D J; Morris, R S; Stevenson, M A; Thornton, R

    2007-09-14

    Distribution of finite levels of resources between multiple competing tasks can be a challenging problem. Resources need to be distributed across time periods and geographic locations to increase the probability of detection of a disease incursion or significant change in disease pattern. Efforts should focus primarily on areas and populations where risk factors for a given disease reach relatively high levels. In order to target resources into these areas, the overall risk level can be evaluated periodically across locations to create a dynamic national risk landscape. Methods are described to integrate the levels of various risk factors into an overall risk score for each area, to account for the certainty or variability around those measures and then to allocate surveillance resources across this risk landscape. In addition to targeting resources into high risk areas, surveillance continues in lower risk areas where there is a small yet positive chance of disease occurrence. In this paper we describe the application of portfolio theory concepts, routinely used in finance, to design surveillance portfolios for a series of examples. The appropriate level of resource investment is chosen for each disease or geographical area and time period given the degree of disease risk and uncertainty present.

  12. The evolution of optimal resource allocation and mating systems in hermaphroditic perennial plants

    PubMed Central

    Wang, Ya-Qiang; Li, Yao-Tang; Wang, Rui-Wu

    2016-01-01

    By incorporating the effects of inbreeding depression (ID) on both juveniles and adults survivorship, we developed a new theoretical model for hermaphroditic perennial plants. Our model showed that the effect of the selfing rate on the evolutionarily stable strategy (ESS) reproductive allocation depends on three parameters: (1) the self-fertilized juvenile relative survivorship (SFJRS), (2) the self-fertilized adult relative survivorship (SFARS) and (3) the growth rate of self-fertilized adult, where the SFJRS is the survivorship of self-fertilized juveniles divided by the survivorship of outcrossed juveniles, and likewise for the SFARS. However, the ESS sex allocation decreases as the selfing rate increases. This relationship seems independent of the SFJRS, the SFARS, and the growth rate of self-fertilized adults. Additionally, our model showed that the complete outcrossing is an ESS when the fraction of juvenile inbreeding depression (FJID) is less than 1/2 − τ, where τ is the self-fertilized adults mortality rate caused by ID. In contrast, the complete selfing also acts as an ESS when the FJID is greater than 1/2 − τ. These results could explain the diversity of mating strategies and related resource allocations for plants. PMID:27681446

  13. Risk-based decision making for staggered bioterrorist attacks : resource allocation and risk reduction in "reload" scenarios.

    SciTech Connect

    Lemaster, Michelle Nicole; Gay, David M.; Ehlen, Mark Andrew; Boggs, Paul T.; Ray, Jaideep

    2009-10-01

    Staggered bioterrorist attacks with aerosolized pathogens on population centers present a formidable challenge to resource allocation and response planning. The response and planning will commence immediately after the detection of the first attack and with no or little information of the second attack. In this report, we outline a method by which resource allocation may be performed. It involves probabilistic reconstruction of the bioterrorist attack from partial observations of the outbreak, followed by an optimization-under-uncertainty approach to perform resource allocations. We consider both single-site and time-staggered multi-site attacks (i.e., a reload scenario) under conditions when resources (personnel and equipment which are difficult to gather and transport) are insufficient. Both communicable (plague) and non-communicable diseases (anthrax) are addressed, and we also consider cases when the data, the time-series of people reporting with symptoms, are confounded with a reporting delay. We demonstrate how our approach develops allocations profiles that have the potential to reduce the probability of an extremely adverse outcome in exchange for a more certain, but less adverse outcome. We explore the effect of placing limits on daily allocations. Further, since our method is data-driven, the resource allocation progressively improves as more data becomes available.

  14. Method for optimizing resource allocation in a government organization. Ph.D. Thesis

    NASA Technical Reports Server (NTRS)

    Afarin, James

    1994-01-01

    The managers in Federal agencies are challenged to control the extensive activities in government and still provide high-quality products and services to the American taxpayers. Considering today's complex social and economic environment and the $3.8 billion daily cost of operating the Federal Government, it is evident that there is a need to develop decision-making tools for accurate resource allocation and total quality management. The goal of this thesis is to provide a methodical process that will aid managers in Federal Government to make budgetary decisions based on the cost of services, the agency's objectives, and the customers' perception of the agency's product. A general resource allocation procedure was developed in this study that can be applied to any government organization. A government organization, hereafter the 'organization,' is assumed to be a multidivision enterprise. This procedure was applied to a small organization for the proof of the concept. This organization is the Technical Services Directorate (TSD) at the NASA Lewis Research Center in Cleveland, Ohio. As part of the procedure, a nonlinear programming model was developed to account for the resources of the organization, the outputs produced by the organization, the decision-maker's views, and the customers' satisfaction with the organization. The information on the resources of the organization was acquired from current budget levels of the organization and the human resources assigned to the divisions. The outputs of the organization were defined and measured by identifying metrics that assess the outputs, the most challenging task in this study. The decision-maker's views are represented in the model as weights assigned to the various outputs and were quantified by using the analytic hierarchy process. The customer's opinions regarding the outputs of the organization were collected through questionnaires that were designed for each division individually. Following the philosophy of

  15. Moving the boundary between wavelength resources in optical packet and circuit integrated ring network.

    PubMed

    Furukawa, Hideaki; Miyazawa, Takaya; Wada, Naoya; Harai, Hiroaki

    2014-01-13

    Optical packet and circuit integrated (OPCI) networks provide both optical packet switching (OPS) and optical circuit switching (OCS) links on the same physical infrastructure using a wavelength multiplexing technique in order to deal with best-effort services and quality-guaranteed services. To immediately respond to changes in user demand for OPS and OCS links, OPCI networks should dynamically adjust the amount of wavelength resources for each link. We propose a resource-adjustable hybrid optical packet/circuit switch and transponder. We also verify that distributed control of resource adjustments can be applied to the OPCI ring network testbed we developed. In cooperation with the resource adjustment mechanism and the hybrid switch and transponder, we demonstrate that automatically allocating a shared resource and moving the wavelength resource boundary between OPS and OCS links can be successfully executed, depending on the number of optical paths in use.

  16. Statistical mechanics of competitive resource allocation using agent-based models

    NASA Astrophysics Data System (ADS)

    Chakraborti, Anirban; Challet, Damien; Chatterjee, Arnab; Marsili, Matteo; Zhang, Yi-Cheng; Chakrabarti, Bikas K.

    2015-01-01

    Demand outstrips available resources in most situations, which gives rise to competition, interaction and learning. In this article, we review a broad spectrum of multi-agent models of competition (El Farol Bar problem, Minority Game, Kolkata Paise Restaurant problem, Stable marriage problem, Parking space problem and others) and the methods used to understand them analytically. We emphasize the power of concepts and tools from statistical mechanics to understand and explain fully collective phenomena such as phase transitions and long memory, and the mapping between agent heterogeneity and physical disorder. As these methods can be applied to any large-scale model of competitive resource allocation made up of heterogeneous adaptive agent with non-linear interaction, they provide a prospective unifying paradigm for many scientific disciplines.

  17. Location-allocation models and new solution methodologies in telecommunication networks

    NASA Astrophysics Data System (ADS)

    Dinu, S.; Ciucur, V.

    2016-08-01

    When designing a telecommunications network topology, three types of interdependent decisions are combined: location, allocation and routing, which are expressed by the following design considerations: how many interconnection devices - consolidation points/concentrators should be used and where should they be located; how to allocate terminal nodes to concentrators; how should the voice, video or data traffic be routed and what transmission links (capacitated or not) should be built into the network. Including these three components of the decision into a single model generates a problem whose complexity makes it difficult to solve. A first method to address the overall problem is the sequential one, whereby the first step deals with the location-allocation problem and based on this solution the subsequent sub-problem (routing the network traffic) shall be solved. The issue of location and allocation in a telecommunications network, called "The capacitated concentrator location- allocation - CCLA problem" is based on one of the general location models on a network in which clients/demand nodes are the terminals and facilities are the concentrators. Like in a location model, each client node has a demand traffic, which must be served, and the facilities can serve these demands within their capacity limit. In this study, the CCLA problem is modeled as a single-source capacitated location-allocation model whose optimization objective is to determine the minimum network cost consisting of fixed costs for establishing the locations of concentrators, costs for operating concentrators and costs for allocating terminals to concentrators. The problem is known as a difficult combinatorial optimization problem for which powerful algorithms are required. Our approach proposes a Fuzzy Genetic Algorithm combined with a local search procedure to calculate the optimal values of the location and allocation variables. To confirm the efficiency of the proposed algorithm with respect

  18. Best linear unbiased prediction and optimum allocation of test resources in maize breeding with doubled haploids.

    PubMed

    Mi, Xuefei; Wegenast, Thilo; Utz, H Friedrich; Dhillon, Baldev S; Melchinger, Albrecht E

    2011-06-01

    With best linear unbiased prediction (BLUP), information from genetically related candidates is combined to obtain more precise estimates of genotypic values of test candidates and thereby increase progress from selection. We developed and applied theory and Monte Carlo simulations implementing BLUP in 2 two-stage maize breeding schemes and various selection strategies. Our objectives were to (1) derive analytical solutions of the mixed model equations under two breeding schemes, (2) determine the optimum allocation of test resources with BLUP under different assumptions regarding the variance component ratios for grain yield in maize, (3) compare the progress from selection using BLUP and conventional phenotypic selection based on mean performance solely of the candidates, and (4) analyze the potential of BLUP for further improving the progress from selection. The breeding schemes involved selection for testcross performance either of DH lines at both stages (DHTC) or of S(1) families at the first stage and DH lines at the second stage (S(1)TC-DHTC). Our analytical solutions allowed much faster calculations of the optimum allocations and superseded matrix inversions to solve the mixed model equations. Compared to conventional phenotypic selection, the progress from selection was slightly higher with BLUP for both optimization criteria, namely the selection gain and the probability to select the best genotypes. The optimum allocation of test resources in S(1)TC-DHTC involved ≥ 10 test locations at both stages, a low number of crosses (≤ 6) each with 100-300 S(1) families at the first stage, and 500-1,000 DH lines at the second stage. In breeding scheme DHTC, the optimum number of test candidates at the first stage was 5-10 times larger, whereas the number of test locations at the first stage and the number of test candidates at the second stage were strongly reduced compared to S(1)TC-DHTC.

  19. Resource allocation between reproductive phases: the importance of thermal conditions in determining the cost of incubation.

    PubMed Central

    Reid, J M; Monaghan, P; Ruxton, G D

    2000-01-01

    Changes in the resources allocated to particular stages of reproduction are expected to influence allocation to, and performance in, subsequent reproductive stages. Experimental manipulation of individual investment patterns provides important evidence that such physiological trade-offs occur, and can highlight the key environmental variables that influence reproductive costs. By temporarily altering the thermal properties of starling nests, we reduced the energetic demand of first-clutch incubation, and examined the effect of this manipulation on performance during the same and the subsequent reproductive attempts. Compared with controls, starlings investing less in incubation were more successful in fledging young, and were more likely to hatch all their eggs if a subsequent reproductive attempt was made. Our results show that incubation demands can limit reproductive success, and that resources saved during incubation can be reallocated to later stages of the same reproductive attempt and to future reproductive attempts. This study also shows that small changes in thermal environment can affect breeding success by altering the energetic demands imposed on incubating parents, independently of the effect of temperature on other environmental variables such as food supply. PMID:10670950

  20. Allocation of resources for ambulatory care -a staffing model for outpatient clinics.

    PubMed Central

    Mansdorf, B D

    1975-01-01

    The enormous commitment of resources to ambulatory health care services requires that flexible and easily implementable management techniques be developed to improve the allocation of health manpower and funds. This article develops a feasible model for staffing outpatient clinics and thereby potentially provides an important analytical tool for allocating and monitoring the utilization of the most critical and expensive of ambulatory care resources-professional and nonprofessional clinic personnel. The model is simplistic, extremely flexible, and can be applied to many modes of delivering ambulatory care-from HMOs to traditional hospital outpatient clinics. To employ the model, certain decision variables must be specified so that the model can produce a least-cost staffing configuration to meet the demand for service in accordance with the desired mode and intensity of care. The key decision varables that require input from administrators and medical personnel include standards for physician-patient contact time, a desired ratio of staff time actually spent treating patients to total paid staff time, and the desired mix of various staff categories to achieve program objectives. Specific benefits of using the model include determining staffing for new, expanded, or existing outpatient clinics, determining budget requirements for such staffing needs, and providing quantitative productivity and utilization objectives and measurements. PMID:809787

  1. Generation and Exploitation of Aggregation Abstractions for Scheduling and Resource Allocation

    NASA Technical Reports Server (NTRS)

    Linden, Theodore A.; Lowry, Michael R.

    1992-01-01

    Our research is investigating abstraction of computational theories for scheduling and resource allocation. These theories are represented in a variant of first order predicate calculus, parameterized multisorted logic, that facilitates specification of large problems. A particular problem is conceptually stated as a set of ground sentences that are consistent with a quantified theory. We are mainly investigating the automated generation of aggregation abstractions and approximations in which detailed resource allocation constraints are replaced by constraints between aggregate demand and capacity. We are also investigating the interaction of aggregation abstractions with the more thoroughly investigated abstractions of weakening operator preconditions. The purpose of the theories for aggregated demand/capacity is threefold: first, to answer queries about aggregate properties, such as gross feasibility; second, to reduce computational costs by using the solution of aggregate problems to guide the solution of detailed problems; and third, to facilitate reformulating theories to approximate problems for which there are efficient problem solving methods. We also describe novel methods for exploiting aggregation abstractions.

  2. The impact of temperature on marine phytoplankton resource allocation and metabolism

    NASA Astrophysics Data System (ADS)

    Toseland, A.; Daines, S. J.; Clark, J. R.; Kirkham, A.; Strauss, J.; Uhlig, C.; Lenton, T. M.; Valentin, K.; Pearson, G. A.; Moulton, V.; Mock, T.

    2013-11-01

    Marine phytoplankton are responsible for ~50% of the CO2 that is fixed annually worldwide, and contribute massively to other biogeochemical cycles in the oceans. Their contribution depends significantly on the interplay between dynamic environmental conditions and the metabolic responses that underpin resource allocation and hence biogeochemical cycling in the oceans. However, these complex environment-biome interactions have not been studied on a larger scale. Here we use a set of integrative approaches that combine metatranscriptomes, biochemical data, cellular physiology and emergent phytoplankton growth strategies in a global ecosystems model, to show that temperature significantly affects eukaryotic phytoplankton metabolism with consequences for biogeochemical cycling under global warming. In particular, the rate of protein synthesis strongly increases under high temperatures even though the numbers of ribosomes and their associated rRNAs decreases. Thus, at higher temperatures, eukaryotic phytoplankton seem to require a lower density of ribosomes to produce the required amounts of cellular protein. The reduction of phosphate-rich ribosomes in warmer oceans will tend to produce higher organismal nitrogen (N) to phosphate (P) ratios, in turn increasing demand for N with consequences for the marine carbon cycle due to shifts towards N-limitation. Our integrative approach suggests that temperature plays a previously unrecognized, critical role in resource allocation and marine phytoplankton stoichiometry, with implications for the biogeochemical cycles that they drive.

  3. The role of placental nutrient sensing in maternal-fetal resource allocation.

    PubMed

    Díaz, Paula; Powell, Theresa L; Jansson, Thomas

    2014-10-01

    The placenta mediates maternal-fetal exchange and has historically been regarded as a passive conduit for nutrients. However, emerging evidence suggests that the placenta actively responds to nutritional and metabolic signals from the mother and the fetus. We propose that the placenta integrates a multitude of maternal and fetal nutritional cues with information from intrinsic nutrient-sensing signaling pathways to match fetal demand with maternal supply by regulating maternal physiology, placental growth, and nutrient transport. This process, which we have called placental nutrient sensing, ensures optimal allocation of resources between the mother and the fetus to maximize the chances for propagation of parental genes without jeopardizing maternal health. We suggest that these mechanisms have evolved because of the evolutionary pressures of maternal undernutrition, which result in decreased placental growth and down-regulation of nutrient transporters, thereby limiting fetal growth to ensure maternal survival. These regulatory loops may also function in response to maternal overnutrition, leading to increased placental growth and nutrient transport in cases of maternal obesity or gestational diabetes. Thus, placental nutrient sensing modulates maternal-fetal resource allocation to increase the likelihood of reproductive success. This model implies that the placenta plays a critical role in mediating fetal programming and determining lifelong health.

  4. The Role of Placental Nutrient Sensing in Maternal-Fetal Resource Allocation1

    PubMed Central

    Díaz, Paula; Powell, Theresa L.; Jansson, Thomas

    2014-01-01

    ABSTRACT The placenta mediates maternal-fetal exchange and has historically been regarded as a passive conduit for nutrients. However, emerging evidence suggests that the placenta actively responds to nutritional and metabolic signals from the mother and the fetus. We propose that the placenta integrates a multitude of maternal and fetal nutritional cues with information from intrinsic nutrient-sensing signaling pathways to match fetal demand with maternal supply by regulating maternal physiology, placental growth, and nutrient transport. This process, which we have called placental nutrient sensing, ensures optimal allocation of resources between the mother and the fetus to maximize the chances for propagation of parental genes without jeopardizing maternal health. We suggest that these mechanisms have evolved because of the evolutionary pressures of maternal undernutrition, which result in decreased placental growth and down-regulation of nutrient transporters, thereby limiting fetal growth to ensure maternal survival. These regulatory loops may also function in response to maternal overnutrition, leading to increased placental growth and nutrient transport in cases of maternal obesity or gestational diabetes. Thus, placental nutrient sensing modulates maternal-fetal resource allocation to increase the likelihood of reproductive success. This model implies that the placenta plays a critical role in mediating fetal programming and determining lifelong health. PMID:25122064

  5. Perceptions and Attitudes of Health Professionals in Kenya on National Health Care Resource Allocation Mechanisms: A Structural Equation Modeling

    PubMed Central

    Owili, Patrick Opiyo; Hsu, Yi-Hsin Elsa; Chern, Jin-Yuan; Chiu, Chiung-Hsuan Megan; Wang, Bill; Huang, Kuo-Cherh; Muga, Miriam Adoyo

    2015-01-01

    Background Health care resource allocation is key towards attaining equity in the health system. However, health professionals’ perceived impact and attitude towards health care resource allocation in Sub-Saharan Africa is unknown; furthermore, they occupy a position which makes them notice the impact of different policies in their health system. This study explored perceptions and attitudes of health professionals in Kenya on health care resource allocation mechanism. Method We conducted a survey of a representative sample of 341 health professionals in Moi Teaching and Referral Hospital from February to April 2012, consisting of over 3000 employees. We assessed health professionals’ perceived impact and attitudes on health care resource allocation mechanism in Kenya. We used structural equation modeling and applied a Confirmatory Factor Analysis using Robust Maximum Likelihood estimation procedure to test the hypothesized model. Results We found that the allocation mechanism was negatively associated with their perceived positive impact (-1.04, p < .001), health professionals’ satisfaction (-0.24, p < .01), and professionals’ attitudes (-1.55, p < .001) while it was positively associated with perceived negative impact (1.14, p < .001). Perceived positive impact of the allocation mechanism was negatively associated with their overall satisfaction (-0.08) and attitude (-0.98) at p < .001, respectively. Furthermore, overall satisfaction was negatively associated with attitude (-1.10, p <.001). On the other hand, perceived negative impact of the allocation was positively associated with overall satisfaction (0.29, p <.001) but was not associated with attitude. Conclusion The result suggests that health care resource allocation mechanism has a negative effect towards perceptions, attitudes and overall satisfaction of health professionals who are at the frontline in health care. These findings can serve as a crucial reference for policymakers as the Kenyan

  6. Dynamic subframe allocation for mobile broadband m-health using IEEE 802.16j mobile multihop relay networks.

    PubMed

    Alinejad, Ali; Istepanian, R S H; Philip, N

    2012-01-01

    The concept of 4G health will be one of the key focus areas of future m-health research and enterprise activities in the coming years. WiMAX technology is one of the constituent 4G wireless technologies that provides broadband wireless access (BWA). Despite the fact that WiMAX is able to provide a high data rate in a relatively large coverage; this technology has specific limitations such as: coverage, signal attenuation problems due to shadowing or path loss, and limited available spectrum. The IEEE 802.16j mobile multihop relay (MMR) technology is a pragmatic solution designed to overcome these limitations. The aim of IEEE 802.16j MMR is to expand the IEEE 802.16e's capabilities with multihop features. In particular, the uplink (UL) and downlink (DL) subframe allocation in WiMAX network is usually fixed. However, dynamic frame allocation is a useful mechanism to optimize uplink and downlink subframe size dynamically based on the traffic conditions through real-time traffic monitoring. This particular mechanism is important for future WiMAX based m-health applications as it allows the tradeoff in both UL and DL channels. In this paper, we address the dynamic frame allocation issue in IEEE 802.16j MMR network for m-health applications. A comparative performance analysis of the proposed approach is validated using the OPNET Modeler(®). The simulation results have shown an improved performance of resource allocation and end-to-end delay performance for typical medical video streaming application.

  7. Resource Allocation Modelling in Vocational Rehabilitation: A Prototype Developed with the Michigan and Rhode Island VR Agencies.

    ERIC Educational Resources Information Center

    Leff, H. Stephen; Turner, Ralph R.

    This report focuses on the use of linear programming models to address the issues of how vocational rehabilitation (VR) resources should be allocated in order to maximize program efficiency within given resource constraints. A general introduction to linear programming models is first presented that describes the major types of models available,…

  8. Is Administration Leaner in Charter Schools? Resource Allocation in Charter and Traditional Public Schools. Working Paper #24

    ERIC Educational Resources Information Center

    Arsen, David; Ni, Yongmei

    2012-01-01

    There is widespread concern that administration consumes too much of the educational dollar in traditional public schools, diverting needed resources from classroom instruction and hampering efforts to improve student outcomes. By contrast, charter schools are predicted to have leaner administration and allocate resources more intensively to…

  9. Educational Resource Allocation at the Elementary Level: A Case Study of One Elementary School District in California

    ERIC Educational Resources Information Center

    Nguyen, Dominic

    2013-01-01

    The purpose of this study was to examine the dispersion of human capital resources within one school district in southern California and compare the use of personnel at each school to the desired allocation informed by the district's strategies and staffing formula. The district's resource distribution was also compared to that of the Evidence…

  10. Informing the gestalt: an ethical framework for allocating scarce federal public health and medical resources to states during disasters.

    PubMed

    Knebel, Ann R; Sharpe, Virginia A; Danis, Marion; Toomey, Lauren M; Knickerbocker, Deborah K

    2014-02-01

    During catastrophic disasters, government leaders must decide how to efficiently and effectively allocate scarce public health and medical resources. The literature about triage decision making at the individual patient level is substantial, and the National Response Framework provides guidance about the distribution of responsibilities between federal and state governments. However, little has been written about the decision-making process of federal leaders in disaster situations when resources are not sufficient to meet the needs of several states simultaneously. We offer an ethical framework and logic model for decision making in such circumstances. We adapted medical triage and the federalism principle to the decision-making process for allocating scarce federal public health and medical resources. We believe that the logic model provides a values-based framework that can inform the gestalt during the iterative decision process used by federal leaders as they allocate scarce resources to states during catastrophic disasters.

  11. Dynamic Channel Allocation

    DTIC Science & Technology

    2003-09-01

    7 1 . Fixed Channel Allocation (FCA) ........................................................7 2. Dynamic Channel ...19 7. CSMA/CD-Based Multiple Network Lines .....................................20 8. Hybrid Channel Allocation in Wireless Networks...28 1 . Channel Allocation

  12. A personal computer network system for equitable allocation of cadaver organs.

    PubMed

    Shimada, M; Akazawa, K; Moriguchi, S; Odaka, T; Nose, Y

    1991-01-01

    We developed a personal computer network system for the equitable allocation of cadaveric organs. This network consists of a host computer (IBM PS55 model 5570 T) and various kinds of personal computers manufactured by many different computer makers in Japan. The merits of our personal computer network include lower cost and an easy access to the host computer from all the centres participating in this network while using their own favourite personal computers. Among the programs made for allocating cadaveric organs, we present in this paper the program for livers. This program was developed with a modified version of the logic developed by Starzl et al. The grade modification for the United Network for Organ Sharing (UNOS) in the United States was used as the basis for classification of medical urgency. Our program weighed the factors of medical urgency, compatibility of blood group and waiting time. Distance factors were omitted because of the smaller area of the network compared to that of UNOS. This computer network would be linked to other computer networks in creating a national organ procurement and transplant network in Japan, in order to help them to catch up with other advanced transplant countries. Such an equal and objective computer system should allow organ transplantation to become more widely accepted.

  13. Optimal allocation of resources among threatened species: a project prioritization protocol.

    PubMed

    Joseph, Liana N; Maloney, Richard F; Possingham, Hugh P

    2009-04-01

    Conservation funds are grossly inadequate to address the plight of threatened species. Government and conservation organizations faced with the task of conserving threatened species desperately need simple strategies for allocating limited resources. The academic literature dedicated to systematic priority setting usually recommends ranking species on several criteria, including level of endangerment and metrics of species value such as evolutionary distinctiveness, ecological importance, and social significance. These approaches ignore 2 crucial factors: the cost of management and the likelihood that the management will succeed. These oversights will result in misallocation of scarce conservation resources and possibly unnecessary losses. We devised a project prioritization protocol (PPP) to optimize resource allocation among New Zealand's threatened-species projects, where costs, benefits (including species values), and the likelihood of management success were considered simultaneously. We compared the number of species managed and the expected benefits gained with 5 prioritization criteria: PPP with weightings based on species value; PPP with species weighted equally; management costs; species value; and threat status. We found that the rational use of cost and success information substantially increased the number of species managed, and prioritizing management projects according to species value or threat status in isolation was inefficient and resulted in fewer species managed. In addition, we found a clear trade-off between funding management of a greater number of the most cost-efficient and least risky projects and funding fewer projects to manage the species of higher value. Specifically, 11 of 32 species projects could be funded if projects were weighted by species value compared with 16 projects if projects were not weighted. This highlights the value of a transparent decision-making process, which enables a careful consideration of trade-offs. The use

  14. Validation of ACG Case-mix for equitable resource allocation in Swedish primary health care

    PubMed Central

    Zielinski, Andrzej; Kronogård, Maria; Lenhoff, Håkan; Halling, Anders

    2009-01-01

    Background Adequate resource allocation is an important factor to ensure equity in health care. Previous reimbursement models have been based on age, gender and socioeconomic factors. An explanatory model based on individual need of primary health care (PHC) has not yet been used in Sweden to allocate resources. The aim of this study was to examine to what extent the ACG case-mix system could explain concurrent costs in Swedish PHC. Methods Diagnoses were obtained from electronic PHC records of inhabitants in Blekinge County (approx. 150,000) listed with public PHC (approx. 120,000) for three consecutive years, 2004-2006. The inhabitants were then classified into six different resource utilization bands (RUB) using the ACG case-mix system. The mean costs for primary health care were calculated for each RUB and year. Using linear regression models and log-cost as dependent variable the adjusted R2 was calculated in the unadjusted model (gender) and in consecutive models where age, listing with specific PHC and RUB were added. In an additional model the ACG groups were added. Results Gender, age and listing with specific PHC explained 14.48-14.88% of the variance in individual costs for PHC. By also adding information on level of co-morbidity, as measured by the ACG case-mix system, to specific PHC the adjusted R2 increased to 60.89-63.41%. Conclusion The ACG case-mix system explains patient costs in primary care to a high degree. Age and gender are important explanatory factors, but most of the variance in concurrent patient costs was explained by the ACG case-mix system. PMID:19765286

  15. Radar coordination and resource management in a distributed sensor network using emergent control

    NASA Astrophysics Data System (ADS)

    Weir, B. S.; Sokol, T. M.

    2009-05-01

    As the list of anti-air warfare and ballistic missile defense missions grows, there is an increasing need to coordinate and optimize usage of radar resources across the netted force. Early attempts at this optimization involved top-down control mechanisms whereby sensors accept resource tasking orders from networked tracking elements. These approaches rely heavily on uncertain knowledge of sensor constraints and capabilities. Furthermore, advanced sensor systems may support self-defense missions of the host platform and are therefore unable to relinquish control to an external function. To surmount these issues, the use of bottom-up emergent control techniques is proposed. The information necessary to make quality, network-wide resource allocations is readily available to sensor nodes with access to a netted track picture. By assessing resource priorities relative to the network (versus local) track picture, sensors can understand the contribution of their resources to the netted force. This allows the sensors to apply resources where most needed and remove waste. Furthermore, simple local rules for resource usage, when properly constructed, allow sensors to obtain a globally optimal resource allocation without direct coordination (emergence). These results are robust to partial implementation (i.e., not all nodes upgraded at once) and failures on individual nodes (whether from casualty or reallocation to other sensor missions), and they leave resource control decisions in the hands of the sensor systems instead of an external function. This paper presents independent research and development work on emergent control of sensor resources and the impact to resource allocation and tracking performance.

  16. Social Networking: A Collaborative Open Educational Resource

    ERIC Educational Resources Information Center

    Toetenel, Lisette

    2014-01-01

    Studies undertaken since the introduction of Web 2.0 have focussed mainly on open educational resources (OERs) such as email, blogging and virtual learning environments. No consistent efforts have been undertaken to study the use of social networking sites as a tool for learning in the second language classroom. This study examined the use of…

  17. A Resource Network Strategy for Afghanistan

    DTIC Science & Technology

    2013-12-01

    exports in 2012 was modestly estimated at $2 billion while the net export value of opiates was $1.94 billion. Cannabis is closely related to poppy...cultivation; 71 percent of poppy-growing villages reported cannabis cultivation in 2012.94 Why is Afghanistan’s economy relevant to the Resource Network

  18. Networked Information Resources. SPEC Kit 253.

    ERIC Educational Resources Information Center

    Bleiler, Richard, Comp.; Plum, Terry, Comp.

    1999-01-01

    This SPEC Kit, published six times per year, examines how Association of Research Libraries (ARL) libraries have structured themselves to identify networked information resources in the market, to evaluate them for purchase, to make purchasing decisions, to publicize them, and to assess their continued utility. In the summer of 1999, the survey…

  19. Economic Aspects of a Resource Discovery Network.

    ERIC Educational Resources Information Center

    Halliday, Leah; Oppenheim, Charles

    2001-01-01

    Explores economic aspects of a resource discovery network (RDN) in the United Kingdom consisting of a center and eight sub-based hubs using Ithink Analyst, a modeling software package. Results suggest that with a combination of sponsorship and subscription income a RDN could succeed without grant funding within 10 years of its launch. (Author/LRW)

  20. Resource Management in Tactical Military Networks

    DTIC Science & Technology

    2006-12-01

    FGAN FORSCHUNGSINSTITUT FÜR KOMMUNIKATION, INFORMATIONSVERARBEITUNG UND ERGONOMIE KIEKOMMUNIKATION Resource Management in Tactical Military Networks...Martin Lies, Peter Sevenich, Christoph Karg, Christoph Barz Nr: 2 FGAN FORSCHUNGSINSTITUT FÜR KOMMUNIKATION, INFORMATIONSVERARBEITUNG UND ERGONOMIE ...Communication with IPSec in Tunnelmode Nr: 3 FGAN FORSCHUNGSINSTITUT FÜR KOMMUNIKATION, INFORMATIONSVERARBEITUNG UND ERGONOMIE KIEKOMMUNIKATION IPSec in

  1. Adjacency Matrix-Based Transmit Power Allocation Strategies in Wireless Sensor Networks

    PubMed Central

    Consolini, Luca; Medagliani, Paolo; Ferrari, Gianluigi

    2009-01-01

    In this paper, we present an innovative transmit power control scheme, based on optimization theory, for wireless sensor networks (WSNs) which use carrier sense multiple access (CSMA) with collision avoidance (CA) as medium access control (MAC) protocol. In particular, we focus on schemes where several remote nodes send data directly to a common access point (AP). Under the assumption of finite overall network transmit power and low traffic load, we derive the optimal transmit power allocation strategy that minimizes the packet error rate (PER) at the AP. This approach is based on modeling the CSMA/CA MAC protocol through a finite state machine and takes into account the network adjacency matrix, depending on the transmit power distribution and determining the network connectivity. It will be then shown that the transmit power allocation problem reduces to a convex constrained minimization problem. Our results show that, under the assumption of low traffic load, the power allocation strategy, which guarantees minimal delay, requires the maximization of network connectivity, which can be equivalently interpreted as the maximization of the number of non-zero entries of the adjacency matrix. The obtained theoretical results are confirmed by simulations for unslotted Zigbee WSNs. PMID:22346705

  2. Adjacency matrix-based transmit power allocation strategies in wireless sensor networks.

    PubMed

    Consolini, Luca; Medagliani, Paolo; Ferrari, Gianluigi

    2009-01-01

    In this paper, we present an innovative transmit power control scheme, based on optimization theory, for wireless sensor networks (WSNs) which use carrier sense multiple access (CSMA) with collision avoidance (CA) as medium access control (MAC) protocol. In particular, we focus on schemes where several remote nodes send data directly to a common access point (AP). Under the assumption of finite overall network transmit power and low traffic load, we derive the optimal transmit power allocation strategy that minimizes the packet error rate (PER) at the AP. This approach is based on modeling the CSMA/CA MAC protocol through a finite state machine and takes into account the network adjacency matrix, depending on the transmit power distribution and determining the network connectivity. It will be then shown that the transmit power allocation problem reduces to a convex constrained minimization problem. Our results show that, under the assumption of low traffic load, the power allocation strategy, which guarantees minimal delay, requires the maximization of network connectivity, which can be equivalently interpreted as the maximization of the number of non-zero entries of the adjacency matrix. The obtained theoretical results are confirmed by simulations for unslotted Zigbee WSNs.

  3. Allocating conservation resources between areas where persistence of a species is uncertain.

    PubMed

    McDonald-Madden, Eve; Chadès, Iadine; McCarthy, Michael A; Linkie, Matthew; Possingham, Hugh P

    2011-04-01

    Research on the allocation of resources to manage threatened species typically assumes that the state of the system is completely observable; for example whether a species is present or not. The majority of this research has converged on modeling problems as Markov decision processes (MDP), which give an optimal strategy driven by the current state of the system being managed. However, the presence of threatened species in an area can be uncertain. Typically, resource allocation among multiple conservation areas has been based on the biggest expected benefit (return on investment) but fails to incorporate the risk of imperfect detection. We provide the first decision-making framework for confronting the trade-off between information and return on investment, and we illustrate the approach for populations of the Sumatran tiger (Panthera tigris sumatrae) in Kerinci Seblat National Park. The problem is posed as a partially observable Markov decision process (POMDP), which extends MDP to incorporate incomplete detection and allows decisions based on our confidence in particular states. POMDP has previously been used for making optimal management decisions for a single population of a threatened species. We extend this work by investigating two populations, enabling us to explore the importance of variation in expected return on investment between populations on how we should act. We compare the performance of optimal strategies derived assuming complete (MDP) and incomplete (POMDP) observability. We find that uncertainty about the presence of a species affects how we should act. Further, we show that assuming full knowledge of a species presence will deliver poorer strategic outcomes than if uncertainty about a species status is explicitly considered. MDP solutions perform up to 90% worse than the POMDP for highly cryptic species, and they only converge in performance when we are certain of observing the species during management: an unlikely scenario for many

  4. Societal values in the allocation of healthcare resources: is it all about the health gain?

    PubMed

    Stafinski, Tania; Menon, Devidas; Marshall, Deborah; Caulfield, Timothy

    2011-01-01

    Over the past decade, public distrust in unavoidable value-laden decisions on the allocation of resources to new health technologies has grown. In response, healthcare organizations have made considerable efforts to improve their acceptability by increasing transparency in decision-making processes. However, the social value judgments (distributive preferences of the public) embedded in them have yet to be defined. While the need to explicate such judgments has become widely recognized, the most appropriate approach to accomplishing this remains unclear. The aims of this review were to identify factors around which distributive preferences of the public have been sought, create a list of social values proposed or used in current resource allocation decision-making processes for new health technologies, and review approaches to eliciting such values from the general public. Social values proposed or used in making resource allocation decisions for new health technologies were identified through three approaches: (i) a comprehensive review of published, peer-reviewed, empirical studies of public preferences for the distribution of healthcare; (ii) an analysis of non-technical factors or social value statements considered by technology funding decision-making processes in Canada and abroad; and (iii) a review of appeals to funding decisions on grounds in part related to social value judgments. A total of 34 empirical studies, 10 technology funding decision-making processes, and 12 appeals to decisions were identified and reviewed. The key factors/patient characteristics addressed through policy statements and around which distributive preferences of the public have been sought included severity of illness, immediate need, age (and its relationship to lifetime health), health gain (amount and final outcome/health state), personal responsibility for illness, caregiving responsibilities, and number of patients who could benefit (rarity). Empirical studies typically

  5. [Allocating resources for cancer control--resolving multicriteria decision-making using the analytic hierarchy process].

    PubMed

    Gróf, Agnes

    2007-01-01

    When competing programs ought to be financed simultaneously for the same purpose, an allocation problem occurs due to scarce resources, and different perspectives and preferences. Facing the problem needs determining criteria which the decision might be based on. Those criteria form the objectives (the scope) of the different participants, and are relevant for the achievement of the goal, providing a comprehensive resource allocation that bridges and integrates the different perspectives. In case of cancer control primary prevention, secondary prevention, therapy and tertiary prevention, education, basic sciences, and clinical trials form the alternatives. An analytic hierarchy process (AHP) is used for supporting decision-making in the resource allocation problem. AHP is a method for setting priorities, but can only work out the implications of what was declared through the pairwise-ranking process, namely the relative preferences, weighing the criteria and rating the alternatives two by two. In the first analysis the relative weights to criteria were 0.099 for 'distributive justice'; 0.120 for constitutional and human rights; 0.251 for lay opinion; 0.393 for EBM; 0.137 for cost-effectiveness. Ranking the alternatives using 'judgements' resulted in relative preference of 0.238 for therapy, 0.204 for primary prevention, 0.201 for secondary prevention, 0.135 for clinical trials, 0.111 for tertiary prevention, 0.066 for basic sciences and 0.045 for education. In the second analysis the relative importance of "cost-effectiveness" was doubled, thus resulting in 0.234 for therapy, 0.216 for secondary prevention, 0.183 for primary prevention, 0.145 for clinical trials, 0.113 for tertiary prevention, 0.063 for basic sciences and 0.046 for education. Sensitivity analysis has shown that increasing the relative weight of cost-effectiveness up to approximately 0.4 changes the rank of alternatives, and above 0.4 this criterion gives secondary prevention preferences. According

  6. Two-stage seasonal streamflow forecasts to guide water resources decisions and water rights allocation

    NASA Astrophysics Data System (ADS)

    Block, P. J.; Gonzalez, E.; Bonnafous, L.

    2011-12-01

    Decision-making in water resources is inherently uncertain producing copious risks, ranging from operational (present) to planning (season-ahead) to design/adaptation (decadal) time-scales. These risks include human activity and climate variability/change. As the risks in designing and operating water systems and allocating available supplies vary systematically in time, prospects for predicting and managing such risks become increasingly attractive. Considerable effort has been undertaken to improve seasonal forecast skill and advocate for integration to reduce risk, however only minimal adoption is evident. Impediments are well defined, yet tailoring forecast products and allowing for flexible adoption assist in overcoming some obstacles. The semi-arid Elqui River basin in Chile is contending with increasing levels of water stress and demand coupled with insufficient investment in infrastructure, taxing its ability to meet agriculture, hydropower, and environmental requirements. The basin is fed from a retreating glacier, with allocation principles founded on a system of water rights and markets. A two-stage seasonal streamflow forecast at leads of one and two seasons prescribes the probability of reductions in the value of each water right, allowing water managers to inform their constituents in advance. A tool linking the streamflow forecast to a simple reservoir decision model also allows water managers to select a level of confidence in the forecast information.

  7. Resource Allocation to Flight in an Outbreaking Forest Defoliator Malacosoma disstria.

    PubMed

    Evenden, M L; Whitehouse, C M; Jones, B C

    2015-06-01

    Allocation of larval nutrients affects adult life history traits in insects. This study assessed the effect of moth age and wing loading on flight capacity in an outbreaking forest lepidopteran, Malacosoma disstria Hübner . Insects were collected from high and low density populations after larval feeding, and flight capacity was tested directly with flight mills and indirectly through the allometric relationship between wing area and body size. Insects from these same populations collected as eggs and fed with a synthetic diet in the laboratory were tested in a separate experiment. Male moth propensity to fly increased with wing loading only when moths were collected as pupae after feeding in the field at high population densities. Moth age and wing loading did not affect the distance flown by male moths in any of the population density-nutrient regime combinations tested. Energy use increased with flight distance in both experiments. The slope of the allometric relationship between wing area and body mass did not differ from isometry when moths were collected as pupae after feeding at low and high population densities in the field. The slope of this relationship was steeper for males collected from high than low population densities. There was no allometric relationship between wing area and body mass of moths collected from these same populations as eggs and fed ad libitum in the laboratory as larvae. The results suggest that male M. disstria can allocate resources to different life history traits in response to differences in population density.

  8. Designing for multiple global user populations: increasing resource allocation efficiency for greater sustainability.

    PubMed

    Nadadur, G; Parkinson, M B

    2012-01-01

    This paper proposes a method to identify opportunities for increasing the efficiency of raw material allocation decisions for products that are simultaneously targeted at multiple user populations around the world. The values of 24 body measures at certain key percentiles were used to estimate the best-fitting anthropometric distributions for female and male adults in nine national populations, which were selected to represent the diverse target markets multinational companies must design for. These distributions were then used to synthesize body measure data for combined populations with a 1:1 female:male ratio. An anthropometric range metric (ARM) was proposed for assessing the variation of these body measures across the populations. At any percentile, ARM values were calculated as the percentage difference between the highest and lowest anthropometric values across the considered user populations. Based on their magnitudes, plots of ARM values computed between the 1st and 99 th percentiles for each body measure were grouped into low, medium, and high categories. This classification of body measures was proposed as a means of selecting the most suitable strategies for designing raw material-efficient products. The findings in this study and the contributions of subsequent work along these lines are expected to help achieve greater efficiencies in resource allocation in global product development.

  9. The Identification of Filters and Interdependencies for Effective Resource Allocation: Coupling the Mitigation of Natural Hazards to Economic Development.

    NASA Astrophysics Data System (ADS)

    Agar, S. M.; Kunreuther, H.

    2005-12-01

    Policy formulation for the mitigation and management of risks posed by natural hazards requires that governments confront difficult decisions for resource allocation and be able to justify their spending. Governments also need to recognize when spending offers little improvement and the circumstances in which relatively small amounts of spending can make substantial differences. Because natural hazards can have detrimental impacts on local and regional economies, patterns of economic development can also be affected by spending decisions for disaster mitigation. This paper argues that by mapping interdependencies among physical, social and economic factors, governments can improve resource allocation to mitigate the risks of natural hazards while improving economic development on local and regional scales. Case studies of natural hazards in Turkey have been used to explore specific "filters" that act to modify short- and long-term outcomes. Pre-event filters can prevent an event from becoming a natural disaster or change a routine event into a disaster. Post-event filters affect both short and long-term recovery and development. Some filters cannot be easily modified by spending (e.g., rural-urban migration) but others (e.g., land-use practices) provide realistic spending targets. Net social benefits derived from spending, however, will also depend on the ways by which filters are linked, or so-called "interdependencies". A single weak link in an interdependent system, such as a power grid, can trigger a cascade of failures. Similarly, weak links in social and commercial networks can send waves of disruption through communities. Conversely, by understanding the positive impacts of interdependencies, spending can be targeted to maximize net social benefits while mitigating risks and improving economic development. Detailed information on public spending was not available for this study but case studies illustrate how networks of interdependent filters can modify

  10. 'These sorts of people don't do very well': race and allocation of health care resources.

    PubMed Central

    Lowe, M; Kerridge, I H; Mitchell, K R

    1995-01-01

    Recent literature has highlighted issues of racial discrimination in medicine. In order to explore the sometimes subtle influence of racial determinants in decisions about resource allocation, we present the case of a 53-year-old Australian Aboriginal woman with end-stage renal failure. The epidemiology of renal failure in the Australian Aboriginal population and amongst other indigenous peoples is discussed. We show that the use of utilitarian outcome criteria for resource allocation may embody subtle racial discrimination where consideration is not given to issues of justice, race, culture and gender. It is only where the processes by which resources are allocated are transparent, clearly defined and based upon consultation with individual patients that issues and justice are likely to be adequately addressed. PMID:8778460

  11. Delimiting 'rural': implications of an agreed 'rurality' index for healthcare planning and resource allocation.

    PubMed

    Humphreys, J S

    1998-11-01

    Rural and remote Australia is characterised by considerable geographical and social diversity. There is no 'natural' classification of what constitutes 'rural' or 'remote', and precise definition of what is meant by the term 'rural' has proved to be an elusive goal. Nonetheless, it is recognised that the differentiation of rural areas has important implications for healthcare planning and the research that underpins it. Whether it be the development of resource allocation formulae that determine the provision, location and type of rural health services, measuring service utilisation rates as an indicator of need for services or health outcome measures, the way in which populations and communities are delimited as urban, rural and remote will always influence and sometimes may even determine the assessment. The time is ripe for the development of an agreed classification for the investigation of rural health issues.

  12. The principle of QALY maximisation as the basis for allocating health care resources.

    PubMed Central

    Cubbon, J

    1991-01-01

    This paper presents a case for allocating health care resources so as to maximise Quality Adjusted Life Years (QALYs). Throughout parallels are drawn with the grounds for adopting utilitarianism. QALYs are desirable because they are essential for human flourishing and goal-attainment. In conditions of scarcity the principle of QALY maximisation may involve unequal treatment of different groups of people; and it is argued that this is not objectionable. Doctors in their dealings with patients should not be continually consulting the principle (though it can sometimes be useful); instead by following existing ethical codes more QALYs will be produced overall. In the formulation of policy, however, the principle should be applied in a thoroughgoing way and, if it is, it will not have some of the counterintuitive consequences it may have in interpersonal situations. PMID:1787516

  13. Learning to multitask: effects of video game practice on electrophysiological indices of attention and resource allocation.

    PubMed

    Maclin, Edward L; Mathewson, Kyle E; Low, Kathy A; Boot, Walter R; Kramer, Arthur F; Fabiani, Monica; Gratton, Gabriele

    2011-09-01

    Changes in attention allocation with complex task learning reflect processing automatization and more efficient control. We studied these changes using ERP and EEG spectral analyses in subjects playing Space Fortress, a complex video game comprising standard cognitive task components. We hypothesized that training would free up attentional resources for a secondary auditory oddball task. Both P3 and delta EEG showed a processing trade-off between game and oddball tasks, but only some game events showed reduced attention requirements with practice. Training magnified a transient increase in alpha power following both primary and secondary task events. This contrasted with alpha suppression observed when the oddball task was performed alone, suggesting that alpha may be related to attention switching. Hence, P3 and EEG spectral data are differentially sensitive to changes in attentional processing occurring with complex task training.

  14. High-Performance Local Search for Task Scheduling with Human Resource Allocation

    NASA Astrophysics Data System (ADS)

    Estellon, Bertrand; Gardi, Frédéric; Nouioua, Karim

    In this paper, a real-life problem of task scheduling with human resource allocation is addressed. This problem was approached by the authors in the context of the ROADEF 2007 Challenge, which is an international competition organized by the French Operations Research Society. The subject of the contest, proposed by the telecommunications company France Télé com, consists in planning maintenance interventions and teams of technicians needed for their achievements. The addressed combinatorial optimization problem is very hard: it contains several NP-hard subproblems and its scale (hundreds of interventions and technicians) induces a huge combinatorics. An effective and efficient local-search heuristic is described to solve this problem. This algorithm was ranked 2nd of the competition (over the 35 teams who have submitted a solution). Moreover, a methodology is revealed to design and engineer high-performance local-search heuristics for solving practically discrete optimization problems.

  15. Equity in the allocation of public sector financial resources in low- and middle-income countries: a systematic literature review.

    PubMed

    Anselmi, Laura; Lagarde, Mylene; Hanson, Kara

    2015-05-01

    This review aims to identify, assess and analyse the evidence on equity in the distribution of public health sector expenditure in low- and middle-income countries. Four bibliographic databases and five websites were searched to identify quantitative studies examining equity in the distribution of public health funding in individual countries or groups of countries. Two different types of studies were identified: benefit incidence analysis (BIA) and resource allocation comparison (RAC) studies. Quality appraisal and data synthesis were tailored to each study type to reflect differences in the methods used and in the information provided. We identified 39 studies focusing on African, Asian and Latin American countries. Of these, 31 were BIA studies that described the distribution, typically across socio-economic status, of individual monetary benefit derived from service utilization. The remaining eight were RAC studies that compared the actual expenditure across geographic areas to an ideal need-based distribution. Overall, the quality of the evidence from both types of study was relatively weak. Looking across studies, the evidence confirms that resource allocation formulae can enhance equity in resource allocation across geographic areas and that the poor benefits proportionally more from primary health care than from hospital expenditure. The lack of information on the distribution of benefit from utilization in RAC studies and on the countries' approaches to resource allocation in BIA studies prevents further policy analysis. Additional research that relates the type of resource allocation mechanism to service provision and to the benefit distribution is required for a better understanding of equity-enhancing resource allocation policies.

  16. Pollen feeding, resource allocation and the evolution of chemical defence in passion vine butterflies.

    PubMed

    Cardoso, M Z; Gilbert, L E

    2013-06-01

    Evolution of pollen feeding in Heliconius has allowed exploitation of rich amino acid sources and dramatically reorganized life-history traits. In Heliconius, eggs are produced mainly from adult-acquired resources, leaving somatic development and maintenance to larva effort. This innovation may also have spurred evolution of chemical defence via amino acid-derived cyanogenic glycosides. In contrast, nonpollen-feeding heliconiines must rely almost exclusively on larval-acquired resources for both reproduction and defence. We tested whether adult amino acid intake has an immediate influence on cyanogenesis in Heliconius. Because Heliconius are more distasteful to bird predators than close relatives that do not utilize pollen, we also compared cyanogenesis due to larval input across Heliconius species and nonpollen-feeding relatives. Except for one species, we found that varying the amino acid diet of an adult Heliconius has negligible effect on its cyanide concentration. Adults denied amino acids showed no decrease in cyanide and no adults showed cyanide increase when fed amino acids. Yet, pollen-feeding butterflies were capable of producing more defence than nonpollen-feeding relatives and differences were detectable in freshly emerged adults, before input of adult resources. Our data points to a larger role of larval input in adult chemical defence. This coupled with the compartmentalization of adult nutrition to reproduction and longevity suggests that one evolutionary consequence of pollen feeding, shifting the burden of reproduction to adults, is to allow the evolution of greater allocation of host plant amino acids to defensive compounds by larvae.

  17. PHOTOSYNTHESIS AND RESOURCE ALLOCATION OF THREE MOJAVE DESERT GRASSES IN RESPONSE TO ELEVATED ATMOSPHERIC CO2

    SciTech Connect

    L. A. DEFALCO; C. K. IVANS; P. VIVIN; J. R. SEEMANN; R. S. NOWAK

    2004-01-01

    Gas exchange, biomass and N allocation were compared among three Mojave Desert grasses representing different functional types to determine if photosynthetic responses and the associated allocation of resources within the plant changed after prolonged exposure to elevated CO{sub 2}. Leaf gas exchange characteristics were measured for Bromus madritensis ssp. rubens (C{sub 3} invasive annual), Achnatherum hymenoides (C{sub 3} native perennial) and Pleuraphis rigida (C{sub 4} native perennial) exposed to 360 {micro}mol mol{sup -1} (ambient) and 1000 {micro}mol mol{sup -1} (elevated) CO{sub 2} concentrations in a glasshouse experiment, and tissue biomass and total N pools were quantified from three harvests during development. The maximum rate of carboxylation by the N-rich enzyme Rubisco (Vc{sub max}), which was inferred from the relationship between net CO{sub 2} assimilation (A{sub net}) and intracellular CO{sub 2} concentration (c{sub i}), declined in the C{sub 3} species Bromus and Achnatherum across all sampling dates, but did not change at elevated CO{sub 2} for the C{sub 4} Pleuraphis. Whole plant N remained the same between CO{sub 2} treatments for all species, but patterns of allocation differed for the short- and long-lived C{sub 3} species. For Bromus, leaf N used for photosynthesis was reallocated to reproduction at elevated CO{sub 2} as inferred from the combination of lower Vc{sub max} and N per leaf area (NLA) at elevated CO{sub 2}, but similar specific leaf area (SLA, cm{sup 2} g{sup -1}), and of greater reproductive effort (RE) for the elevated CO{sub 2} treatment. Vc{sub max}, leaf N concentration and NLA declined for the perennial Achnatherum at elevated CO{sub 2} potentially due to accumulation of carbohydrates or changes in leaf morphology inferred from lower SLA and greater total biomass at elevated CO{sub 2}. In contrast, Vc{sub max} for the C{sub 4} perennial Pleuraphis did not change at elevated CO{sub 2}, and tissue biomass and total N were

  18. Informal payments and intra-household allocation of resources for health care in Albania

    PubMed Central

    2012-01-01

    Background Informal payments for health care services can impose financial hardship on households. Many studies have found that the position within the household can influence the decision on how much is spent on each household member. This study analyses the intra-household differences in spending on informal payments for health care services by comparing the resources allocated between household heads, spouses and children. Methods Pooled data from two cross sectional surveys, the Albanian Living Standard Measurement Survey 2002 and 2005, are used to analyse both the probability and the amount paid in inpatient and outpatient health care services. A generalised Hausman specification test is used to compare the coefficients of probit and OLS models for nuclear and extended households. Results We find that due to the widespread informal payments there are no significant differences between households in the incidence of informal payments for households' members, but there are more differences in the amount paid informally. Results suggest that households strategically allocate their resources on health care by favouring individuals with higher earning potential who have invested more in human capital. Extended households pay higher amounts for spouses with higher education compared to nuclear households. On the other hand, nuclear households choose to pay higher amounts for children with a higher level of education compared to extended households. Conclusions The differences between households should be taken into account by public policies which should compensate this by redistribution mechanisms targeting disadvantaged groups. Governments should implement effective measures to deal with informal patient payments. JEL Codes: I10, I19, D10 PMID:22270038

  19. Valuing lives: Allocating scarce medical resources during a public health emergency and the Americans with Disabilities Act (perspective).

    PubMed

    Wolf, Leslie; Hensel, Wendy

    2011-09-21

    Public health emergencies from natural disasters, infection, and man-made threats can present ethically or legally challenging questions about who will receive scarce resources. Federal and state governments have offered little guidance on how to prioritize distribution of limited resources. Several allocation proposals have appeared in the medical literature, but components of the proposed approaches violate federal antidiscrimination laws and ethical principles about fair treatment. Further planning efforts are needed to develop practical allocation guidelines that comport with antidiscrimination laws and the moral commitment to equal access reflected in those laws.

  20. A Resource Allocation Trade-Off between Virulence and Proliferation Drives Metabolic Versatility in the Plant Pathogen Ralstonia solanacearum

    PubMed Central

    Marmiesse, Lucas; Gouzy, Jérôme

    2016-01-01

    Bacterial pathogenicity relies on a proficient metabolism and there is increasing evidence that metabolic adaptation to exploit host resources is a key property of infectious organisms. In many cases, colonization by the pathogen also implies an intensive multiplication and the necessity to produce a large array of virulence factors, which may represent a significant cost for the pathogen. We describe here the existence of a resource allocation trade-off mechanism in the plant pathogen R. solanacearum. We generated a genome-scale reconstruction of the metabolic network of R. solanacearum, together with a macromolecule network module accounting for the production and secretion of hundreds of virulence determinants. By using a combination of constraint-based modeling and metabolic flux analyses, we quantified the metabolic cost for production of exopolysaccharides, which are critical for disease symptom production, and other virulence factors. We demonstrated that this trade-off between virulence factor production and bacterial proliferation is controlled by the quorum-sensing-dependent regulatory protein PhcA. A phcA mutant is avirulent but has a better growth rate than the wild-type strain. Moreover, a phcA mutant has an expanded metabolic versatility, being able to metabolize 17 substrates more than the wild-type. Model predictions indicate that metabolic pathways are optimally oriented towards proliferation in a phcA mutant and we show that this enhanced metabolic versatility in phcA mutants is to a large extent a consequence of not paying the cost for virulence. This analysis allowed identifying candidate metabolic substrates having a substantial impact on bacterial growth during infection. Interestingly, the substrates supporting well both production of virulence factors and growth are those found in higher amount within the plant host. These findings also provide an explanatory basis to the well-known emergence of avirulent variants in R. solanacearum

  1. A System Dynamics Model to Improve Water Resources Allocation in the Conchos River

    NASA Astrophysics Data System (ADS)

    Gastelum, J. R.; Valdes, J. B.; Stewart, S.

    2005-12-01

    The Conchos river located in Chihuahua state on a semiarid region is the most important Mexican river contributing water deliveries to USA as established by the Water treaty of 1944 signed between Mexico and USA. Historically, Mexico has delivered to UNITED STATES 550 Hm3 (445,549.5 ACF) per year of water since the treaty was established, which is 25% above the yearly water volume Mexico is required to deliver. The Conchos river has contributed with 54% of the historic Mexican water treaty deliveries to the UNITED STATES, which represents the highest percentage of the 6 Mexican rivers considered on the water treaty. However, during drought situations the basin has proven to be vulnerable, for instance, because of the severe drought of the 90's, several cities in 1992 on Chihuahua state where declared disaster areas, and from 1992 to 2001 Mexico had accumulated a water treaty deficit of 2111.6 Hm3 (1,710,586 ACF). This has conduced to economic, social, and political difficulties in both countries. Because of the cited problematic and considering the poor understanding of the relationship between water supply and demand factors on the basin, a decision support system (DSS) has been developed aimed to improve the decision making process related with the water resources allocation process. This DSS has been created using System Dynamics (SD). It is a semi-distributed model and is running on monthly time step basis. For both the short and long term, three important water resources management strategies have been evaluated: several water allocation policies from reservoirs to water users; bulk water rights transfers inside and outside Irrigation Districts; and improvement of water distribution efficiencies. The model results have provided very useful regard to gain more quantitative understanding of the different strategies being implemented. They have also indicated that the different water resources alternatives change its degree of importance according to the

  2. Improving resource utilization in hierarchy network by optimizing topological structure

    NASA Astrophysics Data System (ADS)

    Liu, G. L.; Peng, H. P.; Li, L. X.; Sun, F.; Yang, Y. X.

    2012-02-01

    We study the performance of peer-to-peer (P2P) network built on the top of hierarchy topological structure of local area networks (LAN). We find that the topological structure of the underlying physical network has significant impacts on the resource utilization of the P2P overlay network. The larger size of the physical network is, the lower resource utilization of the overlay network is. Through optimizing the topological structure of physical network, we propose two novel schemes to improve the resource utilization. The experimental results show that in any case the resource utilization of P2P network can always achieve 100% by these two schemes.

  3. Politics of abundance: resources allocation in the public sector in the developed and oil-rich countries

    SciTech Connect

    Ahady, A.H.

    1986-01-01

    This dissertation presents two models of resources allocation in the public sector. The first model, which assumes scarcity of resources available to the state and is suitable to the experiences of the developed Western States, is tested against the data for Denmark, the Netherlands, and Norway. The second model, which assumes an abundance of resources available to the state and is suitable to the experiences of oil-rich countries, is tested against the data for Saudi Arabia, Iran, and Iraq. Findings reveal that the allocation of resources in the public sector in Western countries followed a developmental pattern. Thus, before the 1970s, Western states allocated their budgets almost exclusively to defense and administration. They emphasized economic development until the administration. They emphasized economic development until the 1920s and social welfare programs since the 1930s. The emergence of social welfare and development as major categories of expenditures were separated by a substantial period of time. In contrast to the European experiences, the availability of non tax oil revenues promoted a relatively quick consolidation of state authority in the oil-rich countries. Consequently, oil-rich states were able to allocate large amounts of public resources to economic development and social welfare programs wither simultaneously or in quick succession without much concern for trade-offs.

  4. Shifts in biomass and resource allocation patterns following defoliation in Eucalyptus globulus growing with varying water and nutrient supplies.

    PubMed

    Eyles, Alieta; Pinkard, Elizabeth A; Mohammed, Caroline

    2009-06-01

    In woody species, potential mechanisms to compensate for tissue loss to herbivory and diseases have been related to post-event shifts in growth, biomass and internal resource allocation patterns, as modulated by external resource limitations. We examined the interactive effects of belowground resource limitations by varying nutrient and water availability, and aboveground carbon limitation imposed by a single defoliation event (40% leaf removal) on stem growth, whole-tree and within-tree resource allocation patterns (total non-structural carbohydrate and nitrogen) and below- and aboveground biomass allocation patterns in 8-month-old, field-grown Eucalyptus globulus Labill. saplings. Two months after treatments were imposed, the direction of the stem growth response to defoliation depended on the abiotic treatment. Five months after defoliation, however, we found little evidence that resource availability constrained the expression of tolerance to defoliation. With the exception of the combined low-nutrient and low-water supply treatment, saplings grown with (1) adequate water and nutrient supplies and even with (2) low-water supply or (3) low-nutrient supply were able to compensate for the 40% foliage loss. The observed compensatory responses were attributed to the activation of several short- and longer-term physiological mechanisms including reduced biomass allocation to coarse roots, mobilization of carbohydrate reserves, robust internal N dynamics and increased ratio of foliage to wood dry mass.

  5. Sharing the Wealth: Factors Influencing Resource Allocation in the Sharing Game

    ERIC Educational Resources Information Center

    Fantino, Edmund; Kennelly, Arthur

    2009-01-01

    Students chose between two allocation options, one that gave the allocator more and another participant still more (the "optimal" choice) and one which gave the allocator less and the other participant still less (the "competitive" choice). In a within-subjects design, students' behavior patterns were significantly correlated across the two rounds…

  6. A New Model for Equitable and Efficient Resource Allocation to Schools: The Israeli Case

    ERIC Educational Resources Information Center

    BenDavid-Hadar, Iris; Ziderman, Adrian

    2011-01-01

    This paper sets out a new budget allocation formula for schools, designed to achieve a more equitable distribution of educational achievement. In addition to needs-based elements, the suggested composite allocation formula includes an improvement component, whereby schools receive budgetary allocations based on a new incentive measure developed in…

  7. Market access of cancer drugs in European countries: improving resource allocation.

    PubMed

    Pauwels, Kim; Huys, Isabelle; Casteels, Minne; De Nys, Katelijne; Simoens, Steven

    2014-06-01

    Public health systems need to make well-founded choices in order to distribute their scarce resources in the most efficient way. Given the number of cancer patients, public/private investments in oncology research, the growing number of new anti-cancer agents and consequent budget impact of cancer care, market access of cancer drugs has become delicate over the last decade. Furthermore, decision makers are challenged by ethical objections and endeavour to provide fair and equal access to treatments for cancer patients. The aim of this study is to generate an overview of market access procedures for cancer drugs in eight European countries and formulate advice for improvement of resource allocation. Results are obtained through a literature review and a qualitative questionnaire and validated by experts with proven knowledge about procedures for price setting and reimbursement of drugs. Diverse measures are applied in the studied countries to optimize reimbursement of cancer drugs such as adjusted cost-effectiveness threshold, regulations for off-label use and new market access agreements. Additionally, innovative cancer drugs are excluded from explicit cost control measures such as payback of budget excess by pharmaceutical companies and lump-sum payments per diagnostic related groups (DRG) in the hospital. The results suggest that cancer is prioritized above other disease areas. Further research is necessary to address the question if society attaches higher value to cancer drugs than to treatments for other diseases.

  8. Trade-Offs in Resource Allocation Among Moss Species Control Decomposition in Boreal Peatlands

    SciTech Connect

    Turetsky, M. R.; Crow, S. E.; Evans, R. J.; Vitt, D. H.; Wieder, R. K.

    2008-01-01

    We separated the effects of plant species controls on decomposition rates from environmental controls in northern peatlands using a full factorial, reciprocal transplant experiment of eight dominant bryophytes in four distinct peatland types in boreal Alberta, Canada. Standard fractionation techniques as well as compound-specific pyrolysis molecular beam mass spectrometry were used to identify a biochemical mechanism underlying any interspecific differences in decomposition rates. We found that over a 3-year field incubation, individual moss species and not micro-environmental conditions controlled early stages of decomposition. Across species, Sphagnum mosses exhibited a trade-off in resource partitioning into metabolic and structural carbohydrates, a pattern that served as a strong predictor of litter decomposition. Decomposition rates showed a negative co-variation between species and their microtopographic position, as species that live in hummocks decomposed slowly but hummock microhabitats themselves corresponded to rapid decomposition rates. By forming litter that degrades slowly, hummock mosses appear to promote the maintenance of macropore structure in surface peat hummocks that aid in water retention. Many northern regions are experiencing rapid climate warming that is expected to accelerate the decomposition of large soil carbon pools stored within peatlands. However, our results suggest that some common peatland moss species form tissue that resists decomposition across a range of peatland environments, suggesting that moss resource allocation could stabilize peatland carbon losses under a changing climate.

  9. Patient inducement, provider priorities, and resource allocation in public mental health systems.

    PubMed

    Sinaiko, Anna D; McGuire, Thomas G

    2006-12-01

    Public mental health systems are increasingly facing demands from the criminal justice system and social services agencies to provide services and support in cases in which mental illness contributes to crime, homelessness, or poverty. In this article we analyze how policies from outside public mental health systems affect resource allocation within these systems, using examples from criminal justice. These policies use two types of mechanisms: inducing patients to consume treatment (by offering rewards or imposing penalties) and inducing clinicians to provide treatment (by creating priorities). We propose a classification of these social policies based on whether they affect demand through rewards or penalties or supply through priorities. We then relate the classification to data on patients treated in public systems to evaluate the current prevalence and potential for growth in these outside demands. These inducements impose a set of nonobvious costs on other patients who are not targeted by the policies. Furthermore, they create incentives for both patients and providers to modify their behavior in order to take advantage of rewards, avoid penalties, or better compete for resources with prioritized patients. We consider some policy implications for avoiding unintended consequences of these policies.

  10. Public budgeting, public policy, and the politics of resource allocation in Nigeria

    SciTech Connect

    Ugorji, E.C.

    1985-01-01

    The problem of determining who gets what in terms of allocating the nation's resources has plagued Nigerian leaders since independence. It is in this context that this dissertation is focused on the politics of the federal governments's use of the budget as an effective mechanism for mobilizing and constructively utilizing the nation's human and material resources to improve the general well-being of all segments of the Nigerian society. This study was conducted through direct interviews and discussions with some federal government officials and some Nigerian scholars concerned about the problems of development in Nigeria. From the findings, it is concluded that the federal budget process has not functioned efficiently and effectively as a vehicle for moving the nation forward in the direction of sustained and balanced economic progress. Whereas the above situation can be attributed to some structural deficiencies in the budgetary process, it can also be argued that bribery and corruption, fraud and misuse of public funds by politicians and top government officials, be they civilians or military, have undermined all efforts at using the budget as an instrument for accomplishing development objectives.

  11. Resource allocation and post-reproductive degeneration in the freshwater cnidarian Hydra oligactis (Pallas, 1766).

    PubMed

    Tökölyi, Jácint; Ősz, Zsófia; Sebestyén, Flóra; Barta, Zoltán

    2017-02-01

    Freshwater hydra are among the few animal groups that show negligible senescence and can maintain high survival and reproduction rates when kept under stable conditions in the laboratory. Yet, one species of Hydra (H. oligactis) undergoes a senescence-like process in which polyps degenerate and die after sexual reproduction. The ultimate factors responsible for this phenomenon are unclear. High mortality in reproducing animals could be the consequence of increased allocation of resources to reproduction at the expense of somatic maintenance. This hypothesis predicts that patterns of reproduction and survival are influenced by resource availability. To test this prediction we investigated survival and reproduction at different levels of food availability in 10 lineages of H. oligactis derived from a single Hungarian population. Sexual reproduction was accompanied by reduced survival, but a substantial proportion of animals regenerated after sexual reproduction and continued reproducing asexually. Polyps belonging to different lineages showed differences in their propensity to initiate sexual reproduction, gonad number and survival rate. Food availability significantly affected fecundity (number of eggs or testes produced), with the largest number of gonads being produced by animals kept on a high food regime. On the other hand, survival rate was not affected by the amount of food. These results show that survival is conserved at the expense of reproduction in this population when food is low. It remains a question still to be answered why survival is prioritized over reproduction in this population.

  12. Modelling optimal allocation of resources in the context of an incurable disease

    PubMed Central

    2017-01-01

    Nodding syndrome has affected and led to the deaths of children between the ages of 5 and 15 in Northern Uganda since 2009. There is no reliable explanation of the disease, and currently the only treatment is through a nutritional programme of vitamins, combined with medication to prevent symptoms. In the absence of a proper medical treatment, we develop a dynamic compartmental model to plan the management of the syndrome and to curb its effects. We use incidence data from 2012 and 2013 from Pader, Lamwo and Kitgum regions of Uganda to parameterize the model. The model is then used to look at how to best plan the nutritional programme in terms of first getting children on to the programme through outreach, and then making sure they remain on the programme, through follow-up. For the current outbreak of nodding disease, we estimate that about half of available resources should be put into outreach. We show how to optimize the balance between outreach and follow-up in this particular example, and provide a general methodology for allocating resources in similar situations. Given the uncertainty of parameter estimates in such situations, we perform a robustness analysis to identify the best investment strategy. Our analysis offers a way of using available data to determine the best investment strategy of controlling nodding syndrome. PMID:28288182

  13. Funding fertility: issues in the allocation and distribution of resources to assisted reproduction technologies.

    PubMed

    Devlin, Nancy; Parkin, David

    2003-05-01

    The appropriate level and source of funds for assisted reproduction technologies (ARTs), in particular IVF, have been controversial in most developed economies. Funding of fertility services internationally is characterized by low public (or other third party) funding, a greater reliance on user-pays than in most other health services, and variations in funding and provision. This article describes the characteristics of infertility as a condition and its treatment that have been used as a rationale for its exclusion from an otherwise comprehensive coverage of health services. The challenges these characteristics pose for the use of economic evaluation to inform resource allocation are discussed. Most economic evaluations have focused on the cost effectiveness of alternative infertility treatments. These evaluations provide important information, but do not inform the real issue at stake: what is the appropriate allocation of funds to ARTs, given that it involves sacrificing improvements in health in other areas? Cost utility analysis - the method of economic appraisal preferred by most agencies charged with making such decisions (including the National Institute of Clinical Excellence in the UK) - is ill-equipped to deal with the benefits produced by ARTs. Alternative methods are available, but require decision makers to weigh up very different sorts of evidence. Demonstration of the willingness to pay for the benefits of ARTs can be used to support public decisions but, conversely, also implies that those who can pay will pay in a private market. Ultimately, decisions about the inclusion or otherwise of ARTs in collectively funded health systems probably rest as much on judgments about equity in access as value for money. Given that this is the case, public funding of IVF should be accompanied by the development of agreed criteria for the prioritization of potential recipients, to ensure treatment is targeted at those for whom it is most effective and that access

  14. Mapping Water Resources, Allocation and Consumption in the Mills River Basin

    NASA Astrophysics Data System (ADS)

    Hodes, J.; Jeuland, M. A.; Barros, A. P.

    2014-12-01

    Mountain basins and the headwaters of river basins along the foothills of major mountain ranges are undergoing rapid environmental change due to urban development, land acquisition by investors, population increase, and climate change. Classical water infrastructure in these regions is primarily designed to meet human water demand associated with agriculture, tourism, and economic development. Often overlooked and ignored is the fundamental interdependence of human water demand, ecosystem water demand, water rights and allocation, and water supply. A truly sustainable system for water resources takes into account ecosystem demand along with human infrastructure and economic demand, as well as the feedbacks that exist between them. Allocation policies need to take into account basin resilience that is the amount of stress the system can handle under varying future scenarios. Changes in stress on the system can be anthropogenic in the form of population increase, land use change, economic development, or may be natural in the form of climate change and decrease in water supply due to changes in precipitation. Mapping the water rights, supply, and demands within the basin can help determine the resiliency and sustainability of the basin. Here, we present a coupled natural human system project based in the French Broad River Basin, in the Southern Appalachians. In the first phase of the project, we are developing and implementing a coupled hydro-economics modeling framework in the Mills River Basin (MRB), a tributary of the French Broad. The Mills River Basin was selected as the core basin for implementing a sustainable system of water allocation that is adaptive and reflects the interdependence of water dependent sectors. The headwaters of the Mills River are in the foothills of the Appalachians, and are currently under substantial land use land cover (LULC) change pressure for agricultural purposes. In this regard, the MRB is representative of similar headwater

  15. Rearranging Deck Chairs in Dallas: Contextual Constraints and Within-District Resource Allocation in Urban Texas School Districts

    ERIC Educational Resources Information Center

    Baker, Bruce D.

    2012-01-01

    The goal of this study is to simultaneously explore resource allocation across schools within large urban school districts and across all schools within major metropolitan areas that include those urban districts in the state of Texas. This study uses a three-year panel, from 2005 to 2007, for Texas elementary schools in the Houston, Dallas,…

  16. Student Academic Performance and the Allocation of School Resources: Results from a Survey of Junior Secondary Schools

    ERIC Educational Resources Information Center

    Du, Yuhong; Hu, Yongmei

    2008-01-01

    Since the 1980s, the increasing cost of education has been a global trend, and there is a growing demand for increasing efficiency in different countries. As a result, education economists began focusing on the issue of efficient allocation of educational resources and borrowed production function from economics to study educational production…

  17. The Emperor's New Clothes: The h-Index as a Guide to Resource Allocation in Higher Education

    ERIC Educational Resources Information Center

    Barnes, Cameron

    2014-01-01

    This article calls into question the use of the h-index as an aid to decision-making in the higher education sector. The h-index is increasingly employed by institutions, funding bodies and even governments as a guide to the allocation of resources. This practice is contrary to the evidence that the h-index is intrinsically meaningless, a point…

  18. Adolescent Substance Abuse Treatment Resource Allocation in Rural and Frontier Conditions: The Impact of Including Organizational Readiness to Change

    ERIC Educational Resources Information Center

    Minugh, P. Allison; Janke, Susan L.; Lomuto, Nicoletta A.; Galloway, Diane K.

    2007-01-01

    Context: Rural and frontier states are significantly affected by substance abuse and poverty. The high rate of substance abuse coupled with high levels of dependence on state-funded treatment systems places a burden on rural treatment systems and makes resource allocation a central planning issue. Purpose: The goal of this study was to combine…

  19. Modeling seed weight under environmental resource limitations as a function of C, N, and C:N allocation

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The carbon (C) and nitrogen (N) contents and C:N ratio in seed of two genotypes each of five crops with different resource allocation patterns were assessed under normal growing degree days (GDD) and normal population density (NN) for each crop; normal GDD and 25%>normal population density (NL); sho...

  20. Resource Allocation and Productivity in Education: Theory and Practice. Contributions to the Study of Education, Number 71.

    ERIC Educational Resources Information Center

    Hartman, William T., Ed.; Boyd, William Lowe, Ed.

    This book analyzes microlevel resource-allocation practices from a variety of levels within the educational system: the school board, district administration, building level, and classroom. Chapters include: "Productive Schools from a Policy Perspective: Desiderata, Designs, and Dilemmas" (W. L. Boyd); "The Politics of Educational Productivity"…

  1. Going International: What We Can Learn about International Strategy, Market Entry, and Resource Allocation from the Game of Go

    ERIC Educational Resources Information Center

    Watson, Andrew; Chatterjee, Sangit

    2006-01-01

    We identify three aspects of management particularly crucial in the environment of globalization: the formulation of international strategy; entry into foreign markets; and resource allocation. We advocate the board game Go as an aid to learning management amidst globalization. Our advocacy is based on drawing links between Go and each of the…

  2. Vocational Education and Training: Directions and Resource Allocations for 1996, 1997, 1998. Report to the Ministerial Council.

    ERIC Educational Resources Information Center

    Australian National Training Authority, Brisbane.

    These three separate reports detail current and anticipated directions of vocational education and training (VET) in Australia in 1996, 1997, and 1998, respectively, and the Australian National Training Authority's recommendations regarding resource allocations for each of the 3 years. Each report examines some or all of the following: VET's…

  3. Scheduling language and algorithm development study. Volume 1, phase 2: Design considerations for a scheduling and resource allocation system

    NASA Technical Reports Server (NTRS)

    Morrell, R. A.; Odoherty, R. J.; Ramsey, H. R.; Reynolds, C. C.; Willoughby, J. K.; Working, R. D.

    1975-01-01

    Data and analyses related to a variety of algorithms for solving typical large-scale scheduling and resource allocation problems are presented. The capabilities and deficiencies of various alternative problem solving strategies are discussed from the viewpoint of computer system design.

  4. Resource Allocation in Charter and Non-Charter Public Schools in the Appleton Area School District, Wisconsin

    ERIC Educational Resources Information Center

    Mills, Sandra R.

    2012-01-01

    Reform of public schooling has been at the forefront of the national debate over education for more than 25 years. One prominent reform initiative, school chartering, was selected for the study that examined whether a selected school district allocated comparable resources for charter and non-charter schools. The study used the Odden et al.…

  5. Evaluating the Supports Intensity Scale as a Potential Assessment Instrument for Resource Allocation for Persons with Intellectual Disability

    ERIC Educational Resources Information Center

    Chou, Yueh-Ching; Lee, Yue-Chune; Chang, Shu-chuan; Yu, Amy Pei-Lung

    2013-01-01

    This study evaluated the potential of using the Supports Intensity Scale (SIS) for resource allocation for people with intellectual disabilities (ID) in Taiwan. SIS scores were compared with those obtained from three tools that are currently used in Taiwan for homecare services: the medical diagnosis issued by local authorities and two scales…

  6. Efficient Nash Equilibrium Resource Allocation Based on Game Theory Mechanism in Cloud Computing by Using Auction.

    PubMed

    Nezarat, Amin; Dastghaibifard, G H

    2015-01-01

    One of the most complex issues in the cloud computing environment is the problem of resource allocation so that, on one hand, the cloud provider expects the most profitability and, on the other hand, users also expect to have the best resources at their disposal considering the budget constraints and time. In most previous work conducted, heuristic and evolutionary approaches have been used to solve this problem. Nevertheless, since the nature of this environment is based on economic methods, using such methods can decrease response time and reducing the complexity of the problem. In this paper, an auction-based method is proposed which determines the auction winner by applying game theory mechanism and holding a repetitive game with incomplete information in a non-cooperative environment. In this method, users calculate suitable price bid with their objective function during several round and repetitions and send it to the auctioneer; and the auctioneer chooses the winning player based the suggested utility function. In the proposed method, the end point of the game is the Nash equilibrium point where players are no longer inclined to alter their bid for that resource and the final bid also satisfies the auctioneer's utility function. To prove the response space convexity, the Lagrange method is used and the proposed model is simulated in the cloudsim and the results are compared with previous work. At the end, it is concluded that this method converges to a response in a shorter time, provides the lowest service level agreement violations and the most utility to the provider.

  7. Efficient Nash Equilibrium Resource Allocation Based on Game Theory Mechanism in Cloud Computing by Using Auction

    PubMed Central

    Nezarat, Amin; Dastghaibifard, GH

    2015-01-01

    One of the most complex issues in the cloud computing environment is the problem of resource allocation so that, on one hand, the cloud provider expects the most profitability and, on the other hand, users also expect to have the best resources at their disposal considering the budget constraints and time. In most previous work conducted, heuristic and evolutionary approaches have been used to solve this problem. Nevertheless, since the nature of this environment is based on economic methods, using such methods can decrease response time and reducing the complexity of the problem. In this paper, an auction-based method is proposed which determines the auction winner by applying game theory mechanism and holding a repetitive game with incomplete information in a non-cooperative environment. In this method, users calculate suitable price bid with their objective function during several round and repetitions and send it to the auctioneer; and the auctioneer chooses the winning player based the suggested utility function. In the proposed method, the end point of the game is the Nash equilibrium point where players are no longer inclined to alter their bid for that resource and the final bid also satisfies the auctioneer’s utility function. To prove the response space convexity, the Lagrange method is used and the proposed model is simulated in the cloudsim and the results are compared with previous work. At the end, it is concluded that this method converges to a response in a shorter time, provides the lowest service level agreement violations and the most utility to the provider. PMID:26431035

  8. Dynamic bandwidth allocation algorithm for next-generation time division multiplexing passive optical networks with network coding

    NASA Astrophysics Data System (ADS)

    Wei, Pei; Gu, Rentao; Ji, Yuefeng

    2013-08-01

    An efficient dynamic bandwidth allocation (DBA) algorithm for multiclass services called MSDBA is proposed for next-generation time division multiplexing (TDM) passive optical networks with network coding (NC-PON). In MSDBA, a DBA cycle is divided into two subcycles with different coding strategies for differentiated classes of services, and the transmission time of the first subcycle overlaps with the bandwidth allocation calculation time at the optical line terminal. Moreover, according to the quality-of-service (QoS) requirements of services, different scheduling and bandwidth allocation schemes are applied to coded or uncoded services in the corresponding subcycle. Numerical analyses and simulations for performance evaluation are performed in 10 Gbps ethernet passive optical networks (10G EPON), which is a standardized solution for next-generation EPON. Evaluation results show that compared with the existing two DBA algorithms deployed in TDM NC-PON, MSDBA not only demonstrates better performance in delay and QoS support for all classes of services but also achieves the maximum end-to-end delay fairness between coded and uncoded lower-class services and guarantees the end-to-end delay bound and fixed polling order of high-class services by sacrificing their end-to-end delay fairness for compromise.

  9. Medical Optimization Network for Space Telemedicine Resources

    NASA Technical Reports Server (NTRS)

    Rubin, D.; Shah, R. V.; Kerstman, E. L.; Reyes, D.; Mulcahy, R.; Antonsen, E.

    2017-01-01

    INTRODUCTION: Long-duration missions beyond low Earth orbit introduce new constraints to the space medical system. Beyond the traditional limitations in mass, power, and volume, consideration must be given to other factors such as the inability to evacuate to Earth, communication delays, and limitations in clinical skillsets. As NASA develops the medical system for an exploration mission, it must have an ability to evaluate the trade space of what resources will be most important. The Medical Optimization Network for Space Telemedicine Resources (MONSTR) was developed over the past year for this reason, and is now a system for managing data pertaining to medical resources and their relative importance when addressing medical conditions. METHODS: The MONSTR web application with a Microsoft SQL database backend was developed and made accessible to Tableau v9.3 for analysis and visualization. The database was initially populated with a list of medical conditions of concern for an exploration mission taken from the Integrated Medical Model (IMM), a probabilistic model designed to quantify in-flight medical risk. A team of physicians working within the Exploration Medical Capability Element of NASA's Human Research Program compiled a list diagnostic and treatment medical resources required to address best- and worst-case scenarios of each medical condition using a terrestrial standard of care and entered this data into the system. This list included both tangible resources (e.g. medical equipment, medications) and intangible resources (e.g. clinical skills required to perform a procedure). The physician team then assigned criticality values to each instance of a resource, representing the importance of that resource to diagnosing or treating its associated condition(s). Medical condition probabilities of occurrence during a Mars mission were pulled from the IMM and imported into the MONSTR database for use within a resource criticality-weighting algorithm. DISCUSSION

  10. Resource Allocation and Budgeting for the 1972-73 Mini-Schools of the Alum Rock Voucher Demonstration. Analysis of the Education Voucher Demonstration. A Working Note.

    ERIC Educational Resources Information Center

    Haggart, S. A.; Furry, W. S.

    This Working Note documents the first year's events and outcomes in developing the budgeting system and resource allocation rules to support the Education Voucher Demonstration. The district now has systems for per pupil resource allocation and school/minischool cost center accounting. The basic voucher of $1,041 for grades 7-8, and $788 for…

  11. How to Fairly Allocate Scarce Medical Resources: Ethical Argumentation under Scrutiny by Health Professionals and Lay People

    PubMed Central

    Rosemann, Thomas; Törnblom, Kjell Y.

    2016-01-01

    Background Societies are facing medical resource scarcities, inter alia due to increased life expectancy and limited health budgets and also due to temporal or continuous physical shortages of resources like donor organs. This makes it challenging to meet the medical needs of all. Ethicists provide normative guidance for how to fairly allocate scarce medical resources, but legitimate decisions require additionally information regarding what the general public considers to be fair. The purpose of this study was to explore how lay people, general practitioners, medical students and other health professionals evaluate the fairness of ten allocation principles for scarce medical resources: ‘sickest first’, ‘waiting list’, ‘prognosis’, ‘behaviour’ (i.e., those who engage in risky behaviour should not be prioritized), ‘instrumental value’ (e.g., health care workers should be favoured during epidemics), ‘combination of criteria’ (i.e., a sequence of the ‘youngest first’, ‘prognosis’, and ‘lottery’ principles), ‘reciprocity’ (i.e., those who provided services to the society in the past should be rewarded), ‘youngest first’, ‘lottery’, and ‘monetary contribution’. Methods 1,267 respondents to an online questionnaire were confronted with hypothetical situations of scarcity regarding (i) donor organs, (ii) hospital beds during an epidemic, and (iii) joint replacements. Nine allocation principles were evaluated in terms of fairness for each type of scarcity along 7-point Likert scales. The relationship between demographic factors (gender, age, religiosity, political orientation, and health status) and fairness evaluations was modelled with logistic regression. Results Medical background was a major predictor of fairness evaluations. While general practitioners showed different response patterns for all three allocation situations, the responses by lay people were very similar. Lay people rated ‘sickest first’ and

  12. A QoS aware resource allocation strategy for 3D A/V streaming in OFDMA based wireless systems.

    PubMed

    Chung, Young-Uk; Choi, Yong-Hoon; Park, Suwon; Lee, Hyukjoon

    2014-01-01

    Three-dimensional (3D) video is expected to be a "killer app" for OFDMA-based broadband wireless systems. The main limitation of 3D video streaming over a wireless system is the shortage of radio resources due to the large size of the 3D traffic. This paper presents a novel resource allocation strategy to address this problem. In the paper, the video-plus-depth 3D traffic type is considered. The proposed resource allocation strategy focuses on the relationship between 2D video and the depth map, handling them with different priorities. It is formulated as an optimization problem and is solved using a suboptimal heuristic algorithm. Numerical results show that the proposed scheme provides a better quality of service compared to conventional schemes.

  13. Modeling Resources Allocation in Attacker-Defender Games with "Warm Up" CSF.

    PubMed

    Guan, Peiqiu; Zhuang, Jun

    2016-04-01

    Like many other engineering investments, the attacker's and defender's investments may have limited impact without initial capital to "warm up" the systems. This article studies such "warm up" effects on both the attack and defense equilibrium strategies in a sequential-move game model by developing a class of novel and more realistic contest success functions. We first solve a single-target attacker-defender game analytically and provide numerical solutions to a multiple-target case. We compare the results of the models with and without consideration of the investment "warm up" effects, and find that the defender would suffer higher expected damage, and either underestimate the attacker effort or waste defense investment if the defender falsely believes that no investment "warm up" effects exist. We illustrate the model results with real data, and compare the results of the models with and without consideration of the correlation between the "warm up" threshold and the investment effectiveness. Interestingly, we find that the defender is suggested to give up defending all the targets when the attack or the defense "warm up" thresholds are sufficiently high. This article provides new insights and suggestions on policy implications for homeland security resource allocation.

  14. Resource allocation for reliability of a complex system with aging components

    SciTech Connect

    Anderson-cook, Christine M; Graves, Todd L; Hamada, Michael S

    2008-01-01

    To assess the reliability of a complex system, many different types of data may be available. Full-system tests are the most direct measure of reliability, but may be prohibitively expensive or difficult to obtain. Other less direct measures, such as component or section level tests, may be cheaper to obtain and more readily available. Using a single Bayesian analysis, multiple sources of data can be combined to give component and system reliability estimates. Resource allocation looks to develop methods to predict which new data would most improve the precision of the estimate of system reliability, in order to maximally improve understanding. In this paper, we consider a relatively simple system with different types of data from the components and system. We present a methodology for assessing the relative improvement in system reliability estimation for additional data from the various types. Various metrics for comparing improvement and a response surface approach to modeling the relationship between improvement and the additional data are presented.

  15. Optimal resource allocation to survival and reproduction in parasitic wasps foraging in fragmented habitats.

    PubMed

    Wajnberg, Eric; Coquillard, Patrick; Vet, Louise E M; Hoffmeister, Thomas

    2012-01-01

    Expansion and intensification of human land use represents the major cause of habitat fragmentation. Such fragmentation can have dramatic consequences on species richness and trophic interactions within food webs. Although the associated ecological consequences have been studied by several authors, the evolutionary effects on interacting species have received little research attention. Using a genetic algorithm, we quantified how habitat fragmentation and environmental variability affect the optimal reproductive strategies of parasitic wasps foraging for hosts. As observed in real animal species, the model is based on the existence of a negative trade-off between survival and reproduction resulting from competitive allocation of resources to either somatic maintenance or egg production. We also asked to what degree plasticity along this trade-off would be optimal, when plasticity is costly. We found that habitat fragmentation can indeed have strong effects on the reproductive strategies adopted by parasitoids. With increasing habitat fragmentation animals should invest in greater longevity with lower fecundity; yet, especially in unpredictable environments, some level of phenotypic plasticity should be selected for. Other consequences in terms of learning ability of foraging animals were also observed. The evolutionary consequences of these results are discussed.

  16. Dynamical Allocation of Cellular Resources as an Optimal Control Problem: Novel Insights into Microbial Growth Strategies

    PubMed Central

    Giordano, Nils; Mairet, Francis; Gouzé, Jean-Luc

    2016-01-01

    Microbial physiology exhibits growth laws that relate the macromolecular composition of the cell to the growth rate. Recent work has shown that these empirical regularities can be derived from coarse-grained models of resource allocation. While these studies focus on steady-state growth, such conditions are rarely found in natural habitats, where microorganisms are continually challenged by environmental fluctuations. The aim of this paper is to extend the study of microbial growth strategies to dynamical environments, using a self-replicator model. We formulate dynamical growth maximization as an optimal control problem that can be solved using Pontryagin’s Maximum Principle. We compare this theoretical gold standard with different possible implementations of growth control in bacterial cells. We find that simple control strategies enabling growth-rate maximization at steady state are suboptimal for transitions from one growth regime to another, for example when shifting bacterial cells to a medium supporting a higher growth rate. A near-optimal control strategy in dynamical conditions is shown to require information on several, rather than a single physiological variable. Interestingly, this strategy has structural analogies with the regulation of ribosomal protein synthesis by ppGpp in the enterobacterium Escherichia coli. It involves sensing a mismatch between precursor and ribosome concentrations, as well as the adjustment of ribosome synthesis in a switch-like manner. Our results show how the capability of regulatory systems to integrate information about several physiological variables is critical for optimizing growth in a changing environment. PMID:26958858

  17. Resource allocation and purchasing arrangements to improve accessibility of medicines: Evidence from Iran

    PubMed Central

    Bastani, Peivand; Mehralian, Gholamhossein; Dinarvand, Rasoul

    2015-01-01

    Objective: The aim of this study was to review the current methods of pharmaceutical purchasing by Iranian insurance organizations within the World Bank conceptual framework model so as to provide applicable pharmaceutical resource allocation and purchasing (RAP) arrangements in Iran. Methods: This qualitative study was conducted through a qualitative document analysis (QDA), applying the four-step Scott method in document selection, and conducting 20 semi-structured interviews using a triangulation method. Furthermore, the data were analyzed applying five steps framework analysis using Atlas-ti software. Findings: The QDA showed that the purchasers face many structural, financing, payment, delivery and service procurement and purchasing challenges. Moreover, the findings of interviews are provided in three sections including demand-side, supply-side and price and incentive regime. Conclusion: Localizing RAP arrangements as a World Bank Framework in a developing country like Iran considers the following as the prerequisite for implementing strategic purchasing in pharmaceutical sector: The improvement of accessibility, subsidiary mechanisms, reimbursement of new drugs, rational use, uniform pharmacopeia, best supplier selection, reduction of induced demand and moral hazard, payment reform. It is obvious that for Iran, these customized aspects are more various and detailed than those proposed in a World Bank model for developing countries. PMID:25710045

  18. Optimal Resource Allocation to Survival and Reproduction in Parasitic Wasps Foraging in Fragmented Habitats

    PubMed Central

    Wajnberg, Eric; Coquillard, Patrick; Vet, Louise E. M.; Hoffmeister, Thomas

    2012-01-01

    Expansion and intensification of human land use represents the major cause of habitat fragmentation. Such fragmentation can have dramatic consequences on species richness and trophic interactions within food webs. Although the associated ecological consequences have been studied by several authors, the evolutionary effects on interacting species have received little research attention. Using a genetic algorithm, we quantified how habitat fragmentation and environmental variability affect the optimal reproductive strategies of parasitic wasps foraging for hosts. As observed in real animal species, the model is based on the existence of a negative trade-off between survival and reproduction resulting from competitive allocation of resources to either somatic maintenance or egg production. We also asked to what degree plasticity along this trade-off would be optimal, when plasticity is costly. We found that habitat fragmentation can indeed have strong effects on the reproductive strategies adopted by parasitoids. With increasing habitat fragmentation animals should invest in greater longevity with lower fecundity; yet, especially in unpredictable environments, some level of phenotypic plasticity should be selected for. Other consequences in terms of learning ability of foraging animals were also observed. The evolutionary consequences of these results are discussed. PMID:22701614

  19. Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science

    PubMed Central

    Boudreau, Kevin J.; Guinan, Eva C.; Lakhani, Karim R.; Riedl, Christoph

    2016-01-01

    Selecting among alternative projects is a core management task in all innovating organizations. In this paper, we focus on the evaluation of frontier scientific research projects. We argue that the “intellectual distance” between the knowledge embodied in research proposals and an evaluator’s own expertise systematically relates to the evaluations given. To estimate relationships, we designed and executed a grant proposal process at a leading research university in which we randomized the assignment of evaluators and proposals to generate 2,130 evaluator–proposal pairs. We find that evaluators systematically give lower scores to research proposals that are closer to their own areas of expertise and to those that are highly novel. The patterns are consistent with biases associated with boundedly rational evaluation of new ideas. The patterns are inconsistent with intellectual distance simply contributing “noise” or being associated with private interests of evaluators. We discuss implications for policy, managerial intervention, and allocation of resources in the ongoing accumulation of scientific knowledge. PMID:27746512

  20. Modeling of Channel Allocation in Broadband Powerline Communications Access Networks as a Multi-Criteria Optimization Problem

    NASA Astrophysics Data System (ADS)

    Haidine, Abdelfatteh; Lehnert, Ralf

    The planning process of the Broadband Powerline communications access networks contains two main problem parts: theGeneralized Base Station Placement (GBSP) problem and the PLC Channel Allocation Problem (P-CAP). The GBSP is investigated/solved in our previous works. In this paper, we focus on the P-CAP. The task of the P-CAP consists in allocating a sub-set of channels from an available set of PLC channels to each base station in the B-PLC site. Two optimization objectives are considered for the solution of this problem; namely the maximization of the resource reuse and the minimization of the generated interferences in the site. These objectives are conflicting, since the optimization of one of them results in the deterioration of the other. Therefore, this problem is modeled as a Multi-objective (or multi-criteria) Optimization Problem (MOP). Three variants of Pareto-based multi-objective algorithms, using evolutionary search, are used to solve it. Their performances are evaluated on four problem instances.

  1. Optimal power allocation based on sum-throughput maximization for energy harvesting cognitive radio networks

    NASA Astrophysics Data System (ADS)

    Xie, Zhenwei; Zhu, Qi

    2017-01-01

    In this study, an optimal power allocation algorithm by maximizing the sum-throughput in energy harvesting cognitive radio networks is proposed. Under the causality constraints of the harvested energy by solar radiation, electromagnetic waves and so on in the two secondary users (SUs), and the interference constraint in the primary user (PU), the sum-throughput maximization problem is formulated. The algorithm decomposes the interference threshold constraint to the power upper bounds of the two SUs. Then, the power allocation problems of the two SUs can be solved by a directional water-filling algorithm (DWA) with the power upper bounds, respectively. The paper gives the algorithm steps and simulation results, and the simulation results verify that the proposed algorithm has obvious advantages over the other two algorithms.

  2. A New Subcarrier Allocation Strategy for MIMO-OFDMA Multicellular Networks Based on Cooperative Interference Mitigation

    PubMed Central

    Gkonis, Panagiotis K.; Seimeni, Maria A.; Asimakis, Nikolaos P.; Kaklamani, Dimitra I.; Venieris, Iakovos S.

    2014-01-01

    The goal of the study presented in this paper is to investigate the performance of a new subcarrier allocation strategy for Orthogonal Frequency Division Multiple Access (OFDMA) multicellular networks which employ Multiple Input Multiple Output (MIMO) architecture. For this reason, a hybrid system-link level simulator has been developed executing independent Monte Carlo (MC) simulations in parallel. Up to two tiers of cells around the central cell are taken into consideration and increased loading per cell. The derived results indicate that this strategy can provide up to 12% capacity gain for 16-QAM modulation and two tiers of cells around the central cell in a symmetric 2 × 2 MIMO configuration. This gain is derived when comparing the proposed strategy to the traditional approach of allocating subcarriers that maximize only the desired user's signal. PMID:24683351

  3. Joint Transmit Antenna Selection and Power Allocation for ISDF Relaying Mobile-to-Mobile Sensor Networks

    PubMed Central

    Xu, Lingwei; Zhang, Hao; Gulliver, T. Aaron

    2016-01-01

    The outage probability (OP) performance of multiple-relay incremental-selective decode-and-forward (ISDF) relaying mobile-to-mobile (M2M) sensor networks with transmit antenna selection (TAS) over N-Nakagami fading channels is investigated. Exact closed-form OP expressions for both optimal and suboptimal TAS schemes are derived. The power allocation problem is formulated to determine the optimal division of transmit power between the broadcast and relay phases. The OP performance under different conditions is evaluated via numerical simulation to verify the analysis. These results show that the optimal TAS scheme has better OP performance than the suboptimal scheme. Further, the power allocation parameter has a significant influence on the OP performance. PMID:26907282

  4. The maintenance of cooperation in multiplex networks with limited and partible resources of agents

    NASA Astrophysics Data System (ADS)

    Li, Zhaofeng; Shen, Bi; Jiang, Yichuan

    2017-02-01

    In this paper, we try to explain the maintenance of cooperation in multiplex networks with limited and partible resources of agents: defection brings larger short-term benefit and cooperative agents may become defective because of the unaffordable costs of cooperative behaviors that are performed in multiple layers simultaneously. Recent studies have identified the positive effects of multiple layers on evolutionary cooperation but generally overlook the maximum costs of agents in these synchronous games. By utilizing network effects and designing evolutionary mechanisms, cooperative behaviors become prevailing in public goods games, and agents can allocate personal resources across multiple layers. First, we generalize degree diversity into multiplex networks to improve the prospect for cooperation. Second, to prevent agents allocating all the resources into one layer, a greedy-first mechanism is proposed, in which agents prefer to add additional investments in the higher-payoff layer. It is found that greedy-first agents can perform cooperative behaviors in multiplex networks when one layer is scale-free network and degree differences between conjoint nodes increase. Our work may help to explain the emergence of cooperation in the absence of individual reputation and punishment mechanisms.

  5. The Volta Basin Water Allocation System: assessing the impact of small-scale reservoir development on the water resources of the Volta basin, West Africa

    NASA Astrophysics Data System (ADS)

    Leemhuis, C.; Jung, G.; Kasei, R.; Liebe, J.

    2009-08-01

    In the Volta Basin, infrastructure watershed development with respect to the impact of climate conditions is hotly debated due to the lack of adequate tools to model the consequences of such development. There is an ongoing debate on the impact of further development of small and medium scale reservoirs on the water level of Lake Volta, which is essential for hydropower generation at the Akosombo power plant. The GLOWA Volta Project (GVP) has developed a Volta Basin Water Allocation System (VB-WAS), a decision support tool that allows assessing the impact of infrastructure development in the basin on the availability of current and future water resources, given the current or future climate conditions. The simulated historic and future discharge time series of the joint climate-hydrological modeling approach (MM5/WaSiM-ETH) serve as input data for a river basin management model (MIKE BASIN). MIKE BASIN uses a network approach, and allows fast simulations of water allocation and of the consequences of different development scenarios on the available water resources. The impact of the expansion of small and medium scale reservoirs on the stored volume of Lake Volta has been quantified and assessed in comparison with the impact of climate variability on the water resources of the basin.

  6. Exaggerated force production in altered Gz-levels during parabolic flight: the role of computational resources allocation.

    PubMed

    Mierau, Andreas; Girgenrath, Michaela

    2010-02-01

    The purpose of the present experiment was to examine whether the previously observed exaggerated isometric force production in changed-Gz during parabolic flight (Mierau et al. 2008) can be explained by a higher computational demand and, thus, inadequate allocation of the brain's computational resources to the task. Subjects (n = 12) were tested during the micro-Gz, high-Gz and normal-Gz episodes of parabolic flight. They produced isometric forces of different magnitudes and directions, according to visually prescribed vectors with their right, dominant hand and performed a choice reaction-time task with their left hand. Tasks were performed either separately (single-task) or simultaneously (dual-task). Dual-task interference was present for both tasks, indicating that each task was resources-demanding. However, this interference remained unaffected by the Gz-level. It was concluded that exaggerated force production in changed-Gz is probably not related to inadequate allocation of the brain's computational resources to the force production task. Statement of Relevance: The present study shows that deficient motor performance in changed-Gz environments (both micro-Gz and high-Gz) is not necessarily related to inadequate computational resources allocation, as was suggested in some previous studies. This finding is of great relevance not only for fundamental research, but also for the training and safety of humans operating in changed-Gz environments, such as astronauts and jet pilots.

  7. Is there an economic rationale for cancer drugs to have a separate reimbursement review process for resource allocation purposes?

    PubMed

    McDonald, Heather; Charles, Cathy; Elit, Laurie; Gafni, Amiram

    2015-03-01

    In Canada, there are two separate review processes for the public reimbursement of drugs: one for cancer drugs (originally called the Joint Oncology Drug Review [JODR] and now called the pan-Canadian Oncology Drug Review [pCODR]) and one for drugs in all other disease areas (called the Common Drug Review). We explore whether a justification that is derived from an economic perspective has been provided, in Canada or elsewhere, for cancer drugs to have a separate reimbursement review process (i.e. to be 'treated separately') relative to drugs in all other disease areas. Literature reviews and internet searches were undertaken to identify, collect and analyze relevant documents that would provide information regarding whether an economic rationale has been provided for cancer drugs to be treated separately for resource allocation purposes. Although a number of reasons for cancer drugs to be treated separately were cited both by the JODR and pCODR and in the peer-reviewed literature, a rationale derived from an economic perspective did not appear to be documented. From an economic perspective, separating cancer drugs for resource allocation purposes is likely to impede drug plan decision makers' ability to allocate resources in a manner that maximizes the total aggregate health benefit for the population from available resources. While we acknowledge the challenges that cancer drugs pose to drug reimbursement decision makers, we suggest that separating the reimbursement review of cancer drugs requires further scrutiny.

  8. Sex-specific nutrient use and preferential allocation of resources to a sexually selected trait in Hyalella amphipods.

    PubMed

    Goos, Jared M; Cothran, Rickey D; Jeyasingh, Punidan D

    2016-03-01

    Although sexually dimorphic traits are often well studied, we know little about sex-specific resource use strategies that should underlie such dimorphism. We measured sex-specific responses in acquisition and assimilation of two fundamental resources, carbon (C) and phosphorus (P) in juvenile and mature Hyalella amphipods given low and high supplies of inorganic phosphate, analogous to oligotrophic and eutrophic conditions, respectively. Additionally, we quantified allocation of resources to sexual traits in males. Dual radiotracer ((14)C and (33)P) assays revealed substantial age- and sex-specific differences in acquisition and assimilation. Furthermore, a phenotypic manipulation experiment revealed that amphipods fed low-P food allocated more C to all traits than those fed high-P food. Importantly, we found that amphipods preferentially allocated more C to the development of a sexually selected trait (the posterior gnathopod), compared with a serially homologous trait (the fifth pereopod) not under sexual selection. Substantial differences in how the sexes use fundamental resources, and the impact of altered nutrient supply on such differences, illuminate sexual dimorphism at the lowest level of biological organization. Such information will be important in understanding how sex- and age-specific life history demands influence nutrient processing in a biosphere characterized by rapidly changing alterations to biogeochemical cycles.

  9. Current costing models: are they suitable for allocating health resources? The example of fall injury prevention in Australia.

    PubMed

    Moller, Jerry

    2005-01-01

    The example of fall injury among older people is used to define and illustrate how current Australian systems for allocation of health resources perform for funding emerging public health issues. While the examples are Australian, the allocation and priority setting methods are common in the health sector in all developed western nations. With an ageing population the number of falls injuries in Australia and the cost of treatment will rise dramatically over the next 20-50 years. Current methods of allocating funds within the health system are not well suited to meeting this coming epidemic. The information requirements for cost-benefit and cost-effectiveness measures cannot be met. Marginal approaches to health funding are likely to continue to fund already well-funded treatment or politically driven prevention processes and to miss the opportunity for new prevention initiatives in areas that do not have a high political profile. Fall injury is one of many emerging areas that struggle to make claims for funding because the critical mass of intervention and evidence of its impact is not available. The beneficiaries of allocation failure may be those who treat the disease burden that could have been easily prevented. Changes to allocation mechanisms, data systems and new initiative funding practices are required to ensure that preventative strategies are able to compete on an equal footing with treatment approaches for mainstream health funding.

  10. Asymptotic theory of time-varying social networks with heterogeneous activity and tie allocation.

    PubMed

    Ubaldi, Enrico; Perra, Nicola; Karsai, Márton; Vezzani, Alessandro; Burioni, Raffaella; Vespignani, Alessandro

    2016-10-24

    The dynamic of social networks is driven by the interplay between diverse mechanisms that still challenge our theoretical and modelling efforts. Amongst them, two are known to play a central role in shaping the networks evolution, namely the heterogeneous propensity of individuals to i) be socially active and ii) establish a new social relationships with their alters. Here, we empirically characterise these two mechanisms in seven real networks describing temporal human interactions in three different settings: scientific collaborations, Twitter mentions, and mobile phone calls. We find that the individuals' social activity and their strategy in choosing ties where to allocate their social interactions can be quantitatively described and encoded in a simple stochastic network modelling framework. The Master Equation of the model can be solved in the asymptotic limit. The analytical solutions provide an explicit description of both the system dynamic and the dynamical scaling laws characterising crucial aspects about the evolution of the networks. The analytical predictions match with accuracy the empirical observations, thus validating the theoretical approach. Our results provide a rigorous dynamical system framework that can be extended to include other processes shaping social dynamics and to generate data driven predictions for the asymptotic behaviour of social networks.

  11. Asymptotic theory of time-varying social networks with heterogeneous activity and tie allocation

    NASA Astrophysics Data System (ADS)

    Ubaldi, Enrico; Perra, Nicola; Karsai, Márton; Vezzani, Alessandro; Burioni, Raffaella; Vespignani, Alessandro

    2016-10-01

    The dynamic of social networks is driven by the interplay between diverse mechanisms that still challenge our theoretical and modelling efforts. Amongst them, two are known to play a central role in shaping the networks evolution, namely the heterogeneous propensity of individuals to i) be socially active and ii) establish a new social relationships with their alters. Here, we empirically characterise these two mechanisms in seven real networks describing temporal human interactions in three different settings: scientific collaborations, Twitter mentions, and mobile phone calls. We find that the individuals’ social activity and their strategy in choosing ties where to allocate their social interactions can be quantitatively described and encoded in a simple stochastic network modelling framework. The Master Equation of the model can be solved in the asymptotic limit. The analytical solutions provide an explicit description of both the system dynamic and the dynamical scaling laws characterising crucial aspects about the evolution of the networks. The analytical predictions match with accuracy the empirical observations, thus validating the theoretical approach. Our results provide a rigorous dynamical system framework that can be extended to include other processes shaping social dynamics and to generate data driven predictions for the asymptotic behaviour of social networks.

  12. Asymptotic theory of time-varying social networks with heterogeneous activity and tie allocation

    PubMed Central

    Ubaldi, Enrico; Perra, Nicola; Karsai, Márton; Vezzani, Alessandro; Burioni, Raffaella; Vespignani, Alessandro

    2016-01-01

    The dynamic of social networks is driven by the interplay between diverse mechanisms that still challenge our theoretical and modelling efforts. Amongst them, two are known to play a central role in shaping the networks evolution, namely the heterogeneous propensity of individuals to i) be socially active and ii) establish a new social relationships with their alters. Here, we empirically characterise these two mechanisms in seven real networks describing temporal human interactions in three different settings: scientific collaborations, Twitter mentions, and mobile phone calls. We find that the individuals’ social activity and their strategy in choosing ties where to allocate their social interactions can be quantitatively described and encoded in a simple stochastic network modelling framework. The Master Equation of the model can be solved in the asymptotic limit. The analytical solutions provide an explicit description of both the system dynamic and the dynamical scaling laws characterising crucial aspects about the evolution of the networks. The analytical predictions match with accuracy the empirical observations, thus validating the theoretical approach. Our results provide a rigorous dynamical system framework that can be extended to include other processes shaping social dynamics and to generate data driven predictions for the asymptotic behaviour of social networks. PMID:27774998

  13. A Novel Sensor Selection and Power Allocation Algorithm for Multiple-Target Tracking in an LPI Radar Network

    PubMed Central

    She, Ji; Wang, Fei; Zhou, Jianjiang

    2016-01-01

    Radar networks are proven to have numerous advantages over traditional monostatic and bistatic radar. With recent developments, radar networks have become an attractive platform due to their low probability of intercept (LPI) performance for target tracking. In this paper, a joint sensor selection and power allocation algorithm for multiple-target tracking in a radar network based on LPI is proposed. It is found that this algorithm can minimize the total transmitted power of a radar network on the basis of a predetermined mutual information (MI) threshold between the target impulse response and the reflected signal. The MI is required by the radar network system to estimate target parameters, and it can be calculated predictively with the estimation of target state. The optimization problem of sensor selection and power allocation, which contains two variables, is non-convex and it can be solved by separating power allocation problem from sensor selection problem. To be specific, the optimization problem of power allocation can be solved by using the bisection method for each sensor selection scheme. Also, the optimization problem of sensor selection can be solved by a lower complexity algorithm based on the allocated powers. According to the simulation results, it can be found that the proposed algorithm can effectively reduce the total transmitted power of a radar network, which can be conducive to improving LPI performance. PMID:28009819

  14. A Novel Sensor Selection and Power Allocation Algorithm for Multiple-Target Tracking in an LPI Radar Network.

    PubMed

    She, Ji; Wang, Fei; Zhou, Jianjiang

    2016-12-21

    Radar networks are proven to have numerous advantages over traditional monostatic and bistatic radar. With recent developments, radar networks have become an attractive platform due to their low probability of intercept (LPI) performance for target tracking. In this paper, a joint sensor selection and power allocation algorithm for multiple-target tracking in a radar network based on LPI is proposed. It is found that this algorithm can minimize the total transmitted power of a radar network on the basis of a predetermined mutual information (MI) threshold between the target impulse response and the reflected signal. The MI is required by the radar network system to estimate target parameters, and it can be calculated predictively with the estimation of target state. The optimization problem of sensor selection and power allocation, which contains two variables, is non-convex and it can be solved by separating power allocation problem from sensor selection problem. To be specific, the optimization problem of power allocation can be solved by using the bisection method for each sensor selection scheme. Also, the optimization problem of sensor selection can be solved by a lower complexity algorithm based on the allocated powers. According to the simulation results, it can be found that the proposed algorithm can effectively reduce the total transmitted power of a radar network, which can be conducive to improving LPI performance.

  15. Allocating Scarce Resources Strategically - An Evaluation and Discussion of the Global Fund's Pattern of Disbursements

    PubMed Central

    McCoy, David; Kinyua, Kelvin

    2012-01-01

    Background The Global Fund is under pressure to improve its rationing of financial support. This study describes the GF's pattern of disbursements in relation to total health expenditure (THE), government health expenditure (GHE), income status and the burden of HIV/AIDS, TB and malaria. It also examines the potential for recipient countries to increase domestic public financing for health. Methods This is a cross-sectional study of 104 countries that received Global Fund disbursements in 2009. It analyses data on Global Fund disbursements; health financing indicators; government revenue and expenditure; and burden of disease. Findings Global Fund disbursements made up 0.37% of THE across all 104 countries; but with considerable country variation ranging from 0.002% to 53.4%. Global Fund disbursements to government amounted to 0.47% of GHE across the 104 countries, but again with considerable variation (in three countries more than half of GHE was based on Global Fund support). Although the Global Fund provides progressively more funding for lower income countries on average, there is much variation at the country such that here was no correlation between per capita GF disbursements and per capita THE, nor between per capita GF disbursement to government and per capita GHE. There was only a slight positive correlation between per capita GF disbursement and burden of disease. Several countries with a high degree of 'financial dependency' upon the Fund have the potential to increase levels of domestic financing for health. Discussion The Global Fund can improve its targeting of resources so that it better matches the pattern of global need. To do this it needs to: a) reduce the extent to which funds are allocated on a demand-driven basis; and b) align its funding model to broader health systems financing and patterns of health expenditure beyond the three diseases. PMID:22590496

  16. Allocating scarce financial resources for HIV treatment: benchmarking prices of antiretroviral medicines in Latin America.

    PubMed

    Wirtz, Veronika J; Santa-Ana-Tellez, Yared; Trout, Clinton H; Kaplan, Warren A

    2012-12-01

    Public sector price analyses of antiretroviral (ARV) medicines can provide relevant information to detect ARV procurement procedures that do not obtain competitive market prices. Price benchmarks provide a useful tool for programme managers and policy makers to support such planning and policy measures. The aim of the study was to develop regional and global price benchmarks which can be used to analyse public-sector price variability of ARVs in low- and middle-income countries using the procurement prices of Latin America and the Caribbean (LAC) countries in 2008 as an example. We used the Global Price Reporting Mechanism (GPRM) data base, provided by the World Health Organization (WHO), for 13 LAC countries' ARV procurements to analyse the procurement prices of four first-line and three second-line ARV combinations in 2008. First, a cross-sectional analysis was conducted to compare ARV combination prices. Second, four different price 'benchmarks' were created and we estimated the additional number of patients who could have been treated in each country if the ARV combinations studied were purchased at the various reference ('benchmark') prices. Large price variations exist for first- and second-line ARV combinations between countries in the LAC region. Most countries in the LAC region could be treating between 1.17 and 3.8 times more patients if procurement prices were closer to the lowest regional generic price. For all second-line combinations, a price closer to the lowest regional innovator prices or to the global median transaction price for lower-middle-income countries would also result in treating up to nearly five times more patients. Some rational allocation of financial resources due, in part, to price benchmarking and careful planning by policy makers and programme managers can assist a country in negotiating lower ARV procurement prices and should form part of a sustainable procurement policy.

  17. Limited and time-delayed internal resource allocation generates oscillations and chaos in the dynamics of citrus crops

    NASA Astrophysics Data System (ADS)

    Ye, Xujun; Sakai, Kenshi

    2013-12-01

    Alternate bearing or masting is a yield variability phenomenon in perennial crops. The complex dynamics in this phenomenon have stimulated much ecological research. Motivated by data from an eight-year experiment with forty-eight individual trees, we explored the mechanism inherent to these dynamics in Satsuma mandarin (Citrus unshiu Marc.). By integrating high-resolution imaging technology, we found that the canopy structure and reproduction output of individual citrus crops are mutually dependent on each other. Furthermore, it was revealed that the mature leaves in early season contribute their energy to the fruiting of the current growing season, whereas the younger leaves show a delayed contribution to the next growing season. We thus hypothesized that the annual yield variability might be caused by the limited and time-delayed resource allocation in individual plants. A novel lattice model based on this hypothesis demonstrates that this pattern of resource allocation will generate oscillations and chaos in citrus yield.

  18. Limited and time-delayed internal resource allocation generates oscillations and chaos in the dynamics of citrus crops

    SciTech Connect

    Ye, Xujun; Sakai, Kenshi

    2013-12-15

    Alternate bearing or masting is a yield variability phenomenon in perennial crops. The complex dynamics in this phenomenon have stimulated much ecological research. Motivated by data from an eight-year experiment with forty-eight individual trees, we explored the mechanism inherent to these dynamics in Satsuma mandarin (Citrus unshiu Marc.). By integrating high-resolution imaging technology, we found that the canopy structure and reproduction output of individual citrus crops are mutually dependent on each other. Furthermore, it was revealed that the mature leaves in early season contribute their energy to the fruiting of the current growing season, whereas the younger leaves show a delayed contribution to the next growing season. We thus hypothesized that the annual yield variability might be caused by the limited and time-delayed resource allocation in individual plants. A novel lattice model based on this hypothesis demonstrates that this pattern of resource allocation will generate oscillations and chaos in citrus yield.

  19. An integrative case study approach between game theory and Pareto frontier concepts for the transboundary water resources allocations

    NASA Astrophysics Data System (ADS)

    Kucukmehmetoglu, Mehmet

    2012-07-01

    SummaryIn the context of transboundary issues, this paper introduces a composite water resources allocation approach that integrates both game theory and Pareto frontier concepts over the case of the Euphrates and Tigris Rivers. The proposed approach searches for an acceptable and viable solution set over the Pareto Frontier Surface via game theory based rationality constraints. For this purpose, the used base model is the Euphrates and Tigris River Basin Model, which is a linear programming model maximizing net economic benefits while optimally allocating scarce water resources in the basin. Results indicate that game theory based strategies and associated constraints provide a determinative backbone for an efficient and effective use of generated Pareto Frontier Surfaces. Additionally, estimated marginal values imply that the upstream countries have upper hand positions regarding their geographic and climatic contexts. After all the generation schemes, it appears that Turkey is the critical partner for inclusion into any form of coalition in the Euphrates and Tigris River Basin.

  20. Historical Linkages between DoD Resource Allocation and Army Capability to Support Warfighting CINCs (Commanders in Chief)

    DTIC Science & Technology

    1988-06-01

    formulation. The recently expanded authority of the Chairman, JCS, and potential for improved analysis and review in the Joint Staff of the CINCs’ joint...Defense (OSD) rarely reviewed or changed Service programs. 2 In contrast, cost-benefit analysis became the basis of the new DoD resource allocation...the early 1960’s. But the corollary to the removal of budget ceilings was detailed analysis by OSD of Service programs so that the increased spending

  1. Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation.

    PubMed

    Granmo, Ole-Christoffer; Oommen, B John; Myrer, Svein Arild; Olsen, Morten Goodwin

    2007-02-01

    This paper considers the nonlinear fractional knapsack problem and demonstrates how its solution can be effectively applied to two resource allocation problems dealing with the World Wide Web. The novel solution involves a "team" of deterministic learning automata (LA). The first real-life problem relates to resource allocation in web monitoring so as to "optimize" information discovery when the polling capacity is constrained. The disadvantages of the currently reported solutions are explained in this paper. The second problem concerns allocating limited sampling resources in a "real-time" manner with the purpose of estimating multiple binomial proportions. This is the scenario encountered when the user has to evaluate multiple web sites by accessing a limited number of web pages, and the proportions of interest are the fraction of each web site that is successfully validated by an HTML validator. Using the general LA paradigm to tackle both of the real-life problems, the proposed scheme improves a current solution in an online manner through a series of informed guesses that move toward the optimal solution. At the heart of the scheme, a team of deterministic LA performs a controlled random walk on a discretized solution space. Comprehensive experimental results demonstrate that the discretization resolution determines the precision of the scheme, and that for a given precision, the current solution (to both problems) is consistently improved until a nearly optimal solution is found--even for switching environments. Thus, the scheme, while being novel to the entire field of LA, also efficiently handles a class of resource allocation problems previously not addressed in the literature.

  2. Distributed Power Allocation for Sink-Centric Clusters in Multiple Sink Wireless Sensor Networks

    PubMed Central

    Cao, Lei; Xu, Chen; Shao, Wei; Zhang, Guoan; Zhou, Hui; Sun, Qiang; Guo, Yuehua

    2010-01-01

    Due to the battery resource constraints, saving energy is a critical issue in wireless sensor networks, particularly in large sensor networks. One possible solution is to deploy multiple sink nodes simultaneously. Another possible solution is to employ an adaptive clustering hierarchy routing scheme. In this paper, we propose a multiple sink cluster wireless sensor networks scheme which combines the two solutions, and propose an efficient transmission power control scheme for a sink-centric cluster routing protocol in multiple sink wireless sensor networks, denoted as MSCWSNs-PC. It is a distributed, scalable, self-organizing, adaptive system, and the sensor nodes do not require knowledge of the global network and their location. All sinks effectively work out a representative view of a monitored region, after which power control is employed to optimize network topology. The simulations demonstrate the advantages of our new protocol. PMID:22294911

  3. Larval growth rate and sex determine resource allocation and stress responsiveness across life stages in juvenile frogs.

    PubMed

    Warne, Robin W; Crespi, Erica J

    2015-03-01

    The extent to which interactions between environmental stressors and phenotypic variation during larval life stages impose carry-over effects on adult phenotypes in wildlife are not clear. Using semi-natural mesocosms, we examined how chronically low food availability and size-specific phenotypes in larval amphibians interact and carry over to influence frog growth, resource allocation, endocrine activity and survival. We tagged three cohorts of larvae that differed in body size and developmental stage at 3 weeks after hatching, and tracked them through 10 weeks after metamorphosis in high and low food conditions. We found that growth and development rates during the early tadpole stage not only affected metamorphic rates, but also shaped resource allocation and stress responsiveness in frogs: the slowest growing larvae from low-food mesocosms exhibited a suppressed glucocorticoid response to a handling stressor; reduced growth rate and fat storage as frogs. We also show for the first time that larval developmental trajectories varied with sex, where females developed faster than males especially in food-restricted conditions. Last, while larval food restriction profoundly affected body size in larvae and frogs, time to metamorphosis was highly constrained, which suggests that the physiology and development of this ephemeral pond-breeding amphibian is adapted for rapid metamorphosis despite large potential variation in nutrient availability. Taken together, these results suggest that larval phenotypic variation significantly influences multiple dimensions of post-metamorphic physiology and resource allocation, which likely affect overall performance.

  4. Analysis and simulation of the dynamic spectrum allocation based on parallel immune optimization in cognitive wireless networks.

    PubMed

    Huixin, Wu; Duo, Mo; He, Li

    2014-01-01

    Spectrum allocation is one of the key issues to improve spectrum efficiency and has become the hot topic in the research of cognitive wireless network. This paper discusses the real-time feature and efficiency of dynamic spectrum allocation and presents a new spectrum allocation algorithm based on the master-slave parallel immune optimization model. The algorithm designs a new encoding scheme for the antibody based on the demand for convergence rate and population diversity. For improving the calculating efficiency, the antibody affinity in the population is calculated in multiple computing nodes at the same time. Simulation results show that the algorithm reduces the total spectrum allocation time and can achieve higher network profits. Compared with traditional serial algorithms, the algorithm proposed in this paper has better speedup ratio and parallel efficiency.

  5. Fast packet switching algorithms for dynamic resource control over ATM networks

    SciTech Connect

    Tsang, R.P.; Keattihananant, P.; Chang, T.; Heieh, J.; Du, D.

    1996-12-01

    Real-time continuous media traffic, such as digital video and audio, is expected to comprise a large percentage of the network load on future high speed packet switch networks such as ATM. A major feature which distinguishes high speed networks from traditional slower speed networks is the large amount of data the network must process very quickly. For efficient network usage, traffic control mechanisms are essential. Currently, most mechanisms for traffic control (such as flow control) have centered on the support of Available Bit Rate (ABR), i.e., non real-time, traffic. With regard to ATM, for ABR traffic, two major types of schemes which have been proposed are rate- control and credit-control schemes. Neither of these schemes are directly applicable to Real-time Variable Bit Rate (VBR) traffic such as continuous media traffic. Traffic control for continuous media traffic is an inherently difficult problem due to the time- sensitive nature of the traffic and its unpredictable burstiness. In this study, we present a scheme which controls traffic by dynamically allocating/de- allocating resources among competing VCs based upon their real-time requirements. This scheme incorporates a form of rate- control, real-time burst-level scheduling and link-link flow control. We show analytically potential performance improvements of our rate- control scheme and present a scheme for buffer dimensioning. We also present simulation results of our schemes and discuss the tradeoffs inherent in maintaining high network utilization and statistically guaranteeing many users` Quality of Service.

  6. Optimal Power Allocation of Relay Sensor Node Capable of Energy Harvesting in Cooperative Cognitive Radio Network

    PubMed Central

    Son, Pham Ngoc; Har, Dongsoo; Cho, Nam Ik; Kong, Hyung Yun

    2017-01-01

    A cooperative cognitive radio scheme exploiting primary signals for energy harvesting is proposed. The relay sensor node denoted as the secondary transmitter (ST) harvests energy from the primary signal transmitted from the primary transmitter, and then uses it to transmit power superposed codes of the secrecy signal of the secondary network (SN) and of the primary signal of the primary network (PN). The harvested energy is split into two parts according to a power splitting ratio, one for decoding the primary signal and the other for charging the battery. In power superposition coding, the amount of fractional power allocated to the primary signal is determined by another power allocation parameter (e.g., the power sharing coefficient). Our main concern is to investigate the impact of the two power parameters on the performances of the PN and the SN. Analytical or mathematical expressions of the outage probabilities of the PN and the SN are derived in terms of the power parameters, location of the ST, channel gain, and other system related parameters. A jointly optimal power splitting ratio and power sharing coefficient for achieving target outage probabilities of the PN and the SN, are found using these expressions and validated by simulations. PMID:28335561

  7. Optimal Power Allocation of Relay Sensor Node Capable of Energy Harvesting in Cooperative Cognitive Radio Network.

    PubMed

    Son, Pham Ngoc; Har, Dongsoo; Cho, Nam Ik; Kong, Hyung Yun

    2017-03-21

    A cooperative cognitive radio scheme exploiting primary signals for energy harvesting is proposed. The relay sensor node denoted as the secondary transmitter (ST) harvests energy from the primary signal transmitted from the primary transmitter, and then uses it to transmit power superposed codes of the secrecy signal of the secondary network (SN) and of the primary signal of the primary network (PN). The harvested energy is split into two parts according to a power splitting ratio, one for decoding the primary signal and the other for charging the battery. In power superposition coding, the amount of fractional power allocated to the primary signal is determined by another power allocation parameter (e.g., the power sharing coefficient). Our main concern is to investigate the impact of the two power parameters on the performances of the PN and the SN. Analytical or mathematical expressions of the outage probabilities of the PN and the SN are derived in terms of the power parameters, location of the ST, channel gain, and other system related parameters. A jointly optimal power splitting ratio and power sharing coefficient for achieving target outage probabilities of the PN and the SN, are found using these expressions and validated by simulations.

  8. Radiation Injury After a Nuclear Detonation: Medical Consequences and the Need for Scarce Resources Allocation

    PubMed Central

    DiCarlo, Andrea L.; Maher, Carmen; Hick, John L.; Hanfling, Dan; Dainiak, Nicholas; Chao, Nelson; Bader, Judith L.; Coleman, C. Norman; Weinstock, David M.

    2013-01-01

    A 10-kiloton (kT) nuclear detonation within a US city could expose hundreds of thousands of people to radiation. The Scarce Resources for a Nuclear Detonation Project was undertaken to guide community planning and response in the aftermath of a nuclear detonation, when demand will greatly exceed available resources. This article reviews the pertinent literature on radiation injuries from human exposures and animal models to provide a foundation for the triage and management approaches outlined in this special issue. Whole-body doses >2 Gy can produce clinically significant acute radiation syndrome (ARS), which classically involves the hematologic, gastrointestinal, cutaneous, and cardiovascular/central nervous systems. The severity and presentation of ARS are affected by several factors, including radiation dose and dose rate, interindividual variability in radiation response, type of radiation (eg, gamma alone, gamma plus neutrons), partial-body shielding, and possibly age, sex, and certain preexisting medical conditions. The combination of radiation with trauma, burns, or both (ie, combined injury) confers a worse prognosis than the same dose of radiation alone. Supportive care measures, including fluid support, antibiotics, and possibly myeloid cytokines (eg, granulocyte colony-stimulating factor), can improve the prognosis for some irradiated casualties. Finally, expert guidance and surge capacity for casualties with ARS are available from the Radiation Emergency Medical Management Web site and the Radiation Injury Treatment Network. PMID:21402810

  9. Radiation injury after a nuclear detonation: medical consequences and the need for scarce resources allocation.

    PubMed

    DiCarlo, Andrea L; Maher, Carmen; Hick, John L; Hanfling, Dan; Dainiak, Nicholas; Chao, Nelson; Bader, Judith L; Coleman, C Norman; Weinstock, David M

    2011-03-01

    A 10-kiloton (kT) nuclear detonation within a US city could expose hundreds of thousands of people to radiation. The Scarce Resources for a Nuclear Detonation Project was undertaken to guide community planning and response in the aftermath of a nuclear detonation, when demand will greatly exceed available resources. This article reviews the pertinent literature on radiation injuries from human exposures and animal models to provide a foundation for the triage and management approaches outlined in this special issue. Whole-body doses >2 Gy can produce clinically significant acute radiation syndrome (ARS), which classically involves the hematologic, gastrointestinal, cutaneous, and cardiovascular/central nervous systems. The severity and presentation of ARS are affected by several factors, including radiation dose and dose rate, interindividual variability in radiation response, type of radiation (eg, gamma alone, gamma plus neutrons), partial-body shielding, and possibly age, sex, and certain preexisting medical conditions. The combination of radiation with trauma, burns, or both (ie, combined injury) confers a worse prognosis than the same dose of radiation alone. Supportive care measures, including fluid support, antibiotics, and possibly myeloid cytokines (eg, granulocyte colony-stimulating factor), can improve the prognosis for some irradiated casualties. Finally, expert guidance and surge capacity for casualties with ARS are available from the Radiation Emergency Medical Management Web site and the Radiation Injury Treatment Network.

  10. Population as a proxy for infrastructure in the determination of event response and recovery resource allocations

    DOE PAGES

    Stamber, Kevin L.; Unis, Carl J.; Shirah, Donald N.; ...

    2016-04-01

    Research into modeling of the quantification and prioritization of resources used in the recovery of lifeline critical infrastructure following disruptive incidents, such as hurricanes and earthquakes, has shown several factors to be important. Among these are population density and infrastructure density, event effects on infrastructure, and existence of an emergency response plan. The social sciences literature has a long history of correlating the population density and infrastructure density at a national scale, at a country-to-country level, mainly focused on transportation networks. This effort examines whether these correlations can be repeated at smaller geographic scales, for a variety of infrastructure types,more » so as to be able to use population data as a proxy for infrastructure data where infrastructure data is either incomplete or insufficiently granular. Using the best data available, this effort shows that strong correlations between infrastructure density for multiple types of infrastructure (e.g. miles of roads, hospital beds, miles of electric power transmission lines, and number of petroleum terminals) and population density do exist at known geographic boundaries (e.g. counties, service area boundaries) with exceptions that are explainable within the social sciences literature. Furthermore, the correlations identified provide a useful basis for ongoing research into the larger resource utilization problem.« less

  11. Population as a proxy for infrastructure in the determination of event response and recovery resource allocations

    SciTech Connect

    Stamber, Kevin L.; Unis, Carl J.; Shirah, Donald N.; Gibson, Jessica A.; Fogleman, William E.; Kaplan, Paul

    2016-04-01

    Research into modeling of the quantification and prioritization of resources used in the recovery of lifeline critical infrastructure following disruptive incidents, such as hurricanes and earthquakes, has shown several factors to be important. Among these are population density and infrastructure density, event effects on infrastructure, and existence of an emergency response plan. The social sciences literature has a long history of correlating the population density and infrastructure density at a national scale, at a country-to-country level, mainly focused on transportation networks. This effort examines whether these correlations can be repeated at smaller geographic scales, for a variety of infrastructure types, so as to be able to use population data as a proxy for infrastructure data where infrastructure data is either incomplete or insufficiently granular. Using the best data available, this effort shows that strong correlations between infrastructure density for multiple types of infrastructure (e.g. miles of roads, hospital beds, miles of electric power transmission lines, and number of petroleum terminals) and population density do exist at known geographic boundaries (e.g. counties, service area boundaries) with exceptions that are explainable within the social sciences literature. Furthermore, the correlations identified provide a useful basis for ongoing research into the larger resource utilization problem.

  12. Age Differences in the Effects of Conceptual Integration Training on Resource Allocation in Sentence Processing

    PubMed Central

    Stine-Morrow, Elizabeth A. L.; Noh, Soo Rim; Shake, Matthew C.

    2009-01-01

    This research examined age differences in the accommodation of reading strategies as a consequence of explicit instruction in conceptual integration. In Experiment 1, young, middle-aged, and older adults read sentences for delayed recall using a moving window method. Readers in an experimental group received instruction in making conceptual links during reading while readers in a control group were simply encouraged to allocate effort. Regression analysis to decompose word-by-word reading times in each condition isolated the time allocated to conceptual processing at the point in the text at which new concepts were introduced, as well as at clause and sentence boundaries. While younger adults responded to instructions by differentially allocating effort to sentence wrap-up, older adults allocated effort to intrasentence wrap-up and on new concepts as they were introduced, suggesting that older readers optimized their allocation of effort to linguistic computations for textbase construction within their processing capacity. Experiment 2 verified that conceptual integration training improved immediate recall among older readers as a consequence of engendering allocation to conceptual processing. PMID:19941199

  13. Medical Optimization Network for Space Telemedicine Resources

    NASA Technical Reports Server (NTRS)

    Shah, R. V.; Mulcahy, R.; Rubin, D.; Antonsen, E. L.; Kerstman, E. L.; Reyes, D.

    2017-01-01

    INTRODUCTION: Long-duration missions beyond low Earth orbit introduce new constraints to the space medical system such as the inability to evacuate to Earth, communication delays, and limitations in clinical skillsets. NASA recognizes the need to improve capabilities for autonomous care on such missions. As the medical system is developed, it is important to have an ability to evaluate the trade space of what resources will be most important. The Medical Optimization Network for Space Telemedicine Resources was developed for this reason, and is now a system to gauge the relative importance of medical resources in addressing medical conditions. METHODS: A list of medical conditions of potential concern for an exploration mission was referenced from the Integrated Medical Model, a probabilistic model designed to quantify in-flight medical risk. The diagnostic and treatment modalities required to address best and worst-case scenarios of each medical condition, at the terrestrial standard of care, were entered into a database. This list included tangible assets (e.g. medications) and intangible assets (e.g. clinical skills to perform a procedure). A team of physicians working within the Exploration Medical Capability Element of NASA's Human Research Program ranked each of the items listed according to its criticality. Data was then obtained from the IMM for the probability of occurrence of the medical conditions, including a breakdown of best case and worst case, during a Mars reference mission. The probability of occurrence information and criticality for each resource were taken into account during analytics performed using Tableau software. RESULTS: A database and weighting system to evaluate all the diagnostic and treatment modalities was created by combining the probability of condition occurrence data with the criticalities assigned by the physician team. DISCUSSION: Exploration Medical Capabilities research at NASA is focused on providing a medical system to

  14. Development and implementation of a PACS network and resource manager

    NASA Astrophysics Data System (ADS)

    Stewart, Brent K.; Taira, Ricky K.; Dwyer, Samuel J., III; Huang, H. K.

    1992-07-01

    Clinical acceptance of PACS is predicated upon maximum uptime. Upon component failure, detection, diagnosis, reconfiguration and repair must occur immediately. Our current PACS network is large, heterogeneous, complex and wide-spread geographically. The overwhelming number of network devices, computers and software processes involved in a departmental or inter-institutional PACS makes development of tools for network and resource management critical. The authors have developed and implemented a comprehensive solution (PACS Network-Resource Manager) using the OSI Network Management Framework with network element agents that respond to queries and commands for network management stations. Managed resources include: communication protocol layers for Ethernet, FDDI and UltraNet; network devices; computer and operating system resources; and application, database and network services. The Network-Resource Manager is currently being used for warning, fault, security violation and configuration modification event notification. Analysis, automation and control applications have been added so that PACS resources can be dynamically reconfigured and so that users are notified when active involvement is required. Custom data and error logging have been implemented that allow statistics for each PACS subsystem to be charted for performance data. The Network-Resource Manager allows our departmental PACS system to be monitored continuously and thoroughly, with a minimal amount of personal involvement and time.

  15. Allocating resources and building confidence in public-safety decisions for nuclear waste sites

    SciTech Connect

    Lew, K L; Wilder, D G

    1999-05-21

    , when designing a high-level nuclear waste storage repository, decisions must be made about the components on which to rely and where to focus effort and allocate resources.

  16. Sleep/doze controlled dynamic bandwidth allocation algorithms for energy-efficient passive optical networks.

    PubMed

    Dias, Maluge Pubuduni Imali; Wong, Elaine

    2013-04-22

    In this work, we present a comparative study of two just-in-time (JIT) dynamic bandwidth allocation algorithms (DBAs), designed to improve the energy-efficiency of the 10 Gbps Ethernet passive optical networks (10G-EPONs). The algorithms, termed just-in-time with varying polling cycle times (JIT) and just-in-time with fixed polling cycle times (J-FIT), are designed to achieve energy-savings when the idle time of an optical network unit (ONU) is less than the sleep-to-active transition time. This is made possible by a vertical-cavity surface-emitting laser (VCSEL) ONU that can transit into sleep or doze modes during its idle time. We evaluate the performance of the algorithms in terms of polling cycle time, power consumption, percentage of energy-savings, and average delay. The energy-efficiency of a VCSEL ONU that can transition into sleep or doze mode is compared to an always-ON distributed feedback (DFB) laser ONU. Simulation results indicate that both JIT and J-FIT DBA algorithms result in improved energy-efficiency whilst J-FIT performs better in terms of energy-savings at low network loads. The J-FIT DBA however, results in increased average delay in comparison to the JIT DBA. Nonetheless, this increase in average delay is within the acceptable range to support the quality of service (QoS) requirements of the next-generation access networks.

  17. The relevance of personal characteristics in allocating health care resources-controversial preferences of laypersons with different educational backgrounds.

    PubMed

    Winkelhage, Jeannette; Diederich, Adele

    2012-01-01

    In all industrial countries publicly funded health care systems are confronted with budget constraints. Therefore, priority setting in resource allocation seems inevitable. This paper examines whether personal characteristics could be taken into consideration when allocating health services in Germany, and whether attitudes towards prioritizing health care vary among individuals with different levels of education. Using a conjoint analysis approach, hypothetical patients described in terms of 'lifestyle', 'age', 'severity of illness', 'type of illness', 'improvement in health', and 'treatment costs' were constructed, and the importance weights for these personal characteristics were elicited from 120 members of the general public. Participants were selected according to a sampling guide including educational background, age, chronic illness and gender. Results are reported for groups with different levels of education (low, middle, high) only. The findings show that the patients' age is the most important criterion for the allocation of health care resources, followed by 'severity of illness' and 'improvement in health'. Preferences vary among participants with different educational backgrounds, which refer to different attitudes towards distributive justice and might represent different socialization experiences.

  18. C3 and C4 biomass allocation responses to elevated CO2 and nitrogen: contrasting resource capture strategies

    USGS Publications Warehouse

    White, K.P.; Langley, J.A.; Cahoon, D.R.; Megonigal, J.P.

    2012-01-01

    Plants alter biomass allocation to optimize resource capture. Plant strategy for resource capture may have important implications in intertidal marshes, where soil nitrogen (N) levels and atmospheric carbon dioxide (CO2) are changing. We conducted a factorial manipulation of atmospheric CO2 (ambient and ambient + 340 ppm) and soil N (ambient and ambient + 25 g m-2 year-1) in an intertidal marsh composed of common North Atlantic C3 and C4 species. Estimation of C3 stem turnover was used to adjust aboveground C3 productivity, and fine root productivity was partitioned into C3-C4 functional groups by isotopic analysis. The results suggest that the plants follow resource capture theory. The C3 species increased aboveground productivity under the added N and elevated CO2 treatment (P 2 alone. C3 fine root production decreased with added N (P 2 (P = 0.0481). The C4 species increased growth under high N availability both above- and belowground, but that stimulation was diminished under elevated CO2. The results suggest that the marsh vegetation allocates biomass according to resource capture at the individual plant level rather than for optimal ecosystem viability in regards to biomass influence over the processes that maintain soil surface elevation in equilibrium with sea level.

  19. Stochastic multi-objective auto-optimization for resource allocation decision-making in fixed-input health systems.

    PubMed

    Bastian, Nathaniel D; Ekin, Tahir; Kang, Hyojung; Griffin, Paul M; Fulton, Lawrence V; Grannan, Benjamin C

    2016-01-07

    The management of hospitals within fixed-input health systems such as the U.S. Military Health System (MHS) can be challenging due to the large number of hospitals, as well as the uncertainty in input resources and achievable outputs. This paper introduces a stochastic multi-objective auto-optimization model (SMAOM) for resource allocation decision-making in fixed-input health systems. The model can automatically identify where to re-allocate system input resources at the hospital level in order to optimize overall system performance, while considering uncertainty in the model parameters. The model is applied to 128 hospitals in the three services (Air Force, Army, and Navy) in the MHS using hospital-level data from 2009 - 2013. The results are compared to the traditional input-oriented variable returns-to-scale Data Envelopment Analysis (DEA) model. The application of SMAOM to the MHS increases the expected system-wide technical efficiency by 18 % over the DEA model while also accounting for uncertainty of health system inputs and outputs. The developed method is useful for decision-makers in the Defense Health Agency (DHA), who have a strategic level objective of integrating clinical and business processes through better sharing of resources across the MHS and through system-wide standardization across the services. It is also less sensitive to data outliers or sampling errors than traditional DEA methods.

  20. Argentine ants (Linepithema humile) use adaptable transportation networks to track changes in resource quality.

    PubMed

    Latty, Tanya; Holmes, Michael J; Makinson, James C; Beekman, Madeleine

    2017-02-15

    Transportation networks play a crucial role in human and animal societies. For a transportation network to be efficient, it must have adequate capacity to meet traffic demand. Network design becomes increasingly difficult in situations where traffic demand can change unexpectedly. In humans, network design is often constrained by path dependency because it is difficult to move a road once it is built. A similar issue theoretically faces pheromone-trail-laying social insects; once a trail has been laid, positive feedback makes re-routing difficult because new trails cannot compete with continually reinforced pre-existing trails. In the present study, we examined the response of Argentine ant colonies and their trail networks to variable environments where resources differ in quality and change unexpectedly. We found that Argentine ant colonies effectively tracked changes in food quality such that colonies allocated the highest proportion of foragers to the most rewarding feeder. Ant colonies maximised access to high concentration feeders by building additional trails and routes connecting the nest to the feeder. Trail networks appeared to form via a pruning process in which lower traffic trails were gradually removed from the network. At the same time, we observed several instances where new trails appear to have been built to accommodate a surge in demand. The combination of trail building when traffic demand is high and trail pruning when traffic demand is low results in a demand-driven network formation system that allows ants to monopolise multiple dynamic resources.

  1. Resource Allocation Scheme in MIMO-OFDMA System for User's Different Data Throughput Requirements

    NASA Astrophysics Data System (ADS)

    Sann Maw, Maung; Sasase, Iwao

    In the subcarrier and power allocation schemes in Multi-Input Multi-Output and Orthogonal Frequency Division Multiple Access (MIMO-OFDMA) systems, only equal fairness among users has been considered and no scheme for proportional data rate fairness has been considered. In this paper, a subcarrier, bit and power allocation scheme is proposed to maximize the total throughput under the constraints of total power and proportional data rate fairness among users. In the proposed scheme, joint subchannel allocation and adaptive bit loading is firstly performed by using singular value decomposition (SVD) of channel matrix under the constraint of users' data throughput requirements, and then adaptive power loading is applied. Simulation results show that effective performance of the system has been improved as well as each throughput is proportionally distributed among users in MIMO-OFDMA systems.

  2. Performance Improvement of Proportional Fairness-Based Resource Allocation in OFDMA Downlink Systems

    NASA Astrophysics Data System (ADS)

    Ruangchaijatupon, Nararat; Ji, Yusheng

    We have developed a novel downlink packet scheduling scheme for a multiuser OFDMA system in which a subchannel can be time-multiplexed among multiple users. This scheme which is called Matrixed-based Proportional Fairness can provide a high system throughput while ensuring fairness. The scheme is based on a Proportional Fairness (PF) utility function and can be applied to any of the PF-based schedulers. Our scheduler explores multichannel multiuser diversity by using a two-dimensional matrix combining user selection, subchannel assignment, and time slot allocation. Furthermore, unlike other PF-based schemes, our scheme considers finitely backlogged queues during the time slot allocation. By doing so, it can exploit multichannel multiuser diversity to utilize bandwidth efficiently and with throughput fairness. Additionally, fairness in the time domain is enhanced by limiting the number of allocated time slots. Intensive simulations considering finitely backlogged queues and user mobility prove the scheme's effectiveness.

  3. Evidence to inform resource allocation for tuberculosis control in Myanmar: a systematic review based on the SYSRA framework.

    PubMed

    Khan, Mishal S; Schwanke Khilji, Sara U; Saw, Saw; Coker, Richard J

    2017-02-01

    Myanmar represents an extreme example of the difficulties in optimally allocating resources for maximum public health benefit, on the basis of limited information. At the recent Myanmar Health Forum 'Investing in Health' much of the discussion revolved around what to invest in, how health systems could be strengthened, and what research and capacity building areas the international donor community should prioritise for support. Funding for infectious disease control, particularly HIV and tuberculosis, is being channelled to the country at an unprecedented rate, but very little research has been conducted in recent years, and existing information has not yet been synthesised. This paper presents findings of the first systematic literature review on tuberculosis control and the health system in Myanmar, with the aim of informing the development of optimal research priorities and strategies. Medline and grey literature were searched for relevant papers. Inclusion criteria and analyses were structured to capture data on the Myanmar health system, healthcare delivery, financing, tuberculosis control indicators and information systems. A total of 77 papers were included in the analysis. The results indicate that there has been a large increase in the number of peer-reviewed articles published on tuberculosis in Myanmar over the past decade, although the absolute number of studies remains small. We identified several areas in which evidence to inform policy and resource allocation decisions is lacking, including research focused on rural and/or vulnerable populations, analyses of risk factors for TB and drug resistance that can inform prevention strategies and economic analyses for optimising resource allocation. The gaps in research to inform policy identified through this study may be relevant to other low resource settings with extremely limited research capacity.

  4. Optimization model for the allocation of water resources based on the maximization of employment in the agriculture and industry sectors

    NASA Astrophysics Data System (ADS)

    Habibi Davijani, M.; Banihabib, M. E.; Nadjafzadeh Anvar, A.; Hashemi, S. R.

    2016-02-01

    In many discussions, work force is mentioned as the most important factor of production. Principally, work force is a factor which can compensate for the physical and material limitations and shortcomings of other factors to a large extent which can help increase the production level. On the other hand, employment is considered as an effective factor in social issues. The goal of the present research is the allocation of water resources so as to maximize the number of jobs created in the industry and agriculture sectors. An objective that has attracted the attention of policy makers involved in water supply and distribution is the maximization of the interests of beneficiaries and consumers in case of certain policies adopted. The present model applies the particle swarm optimization (PSO) algorithm in order to determine the optimum amount of water allocated to each water-demanding sector, area under cultivation, agricultural production, employment in the agriculture sector, industrial production and employment in the industry sector. Based on the results obtained from this research, by optimally allocating water resources in the central desert region of Iran, 1096 jobs can be created in the industry and agriculture sectors, which constitutes an improvement of about 13% relative to the previous situation (non-optimal water utilization). It is also worth mentioning that by optimizing the employment factor as a social parameter, the other areas such as the economic sector are influenced as well. For example, in this investigation, the resulting economic benefits (incomes) have improved from 73 billion Rials at baseline employment figures to 112 billion Rials in the case of optimized employment condition. Therefore, it is necessary to change the inter-sector and intra-sector water allocation models in this region, because this change not only leads to more jobs in this area, but also causes an improvement in the region's economic conditions.

  5. South Dakota Wind Resource Assessment Network (WRAN)

    DOE Data Explorer

    WRAN is a network of instrument stations sited throughout South Dakota. As of 2010, there are eleven stations, and some have been collecting data since 2001. The purpose of the WRAN:

    There are several reasons why the WRAN was built. One of the most obvious is that it will allow verification of the existing resource assessments of our state. South Dakota has tremendous potential as an exporter of wind-generated electricity. There has recently been a great deal of publicity over a Pacific Northwest National Laboratories study conducted in the early 1990s that ranked the contiguous 48 states in terms of their potential to produce windpower. (Click here for the results of this study as given by the American Wind Energy Association.) South Dakota ranked fourth in that study. Also, more recently, detailed maps of the wind resource in South Dakota were produced by the National Renewable Energy Laboratory (NREL). Unfortunately, both of these studies had to rely heavily on computer-generated models and very sparse measured data, because very little appropriate measured data exists. The WRAN will provide valuable data that we anticipate will validate the NREL maps, and perhaps suggest minor adjustments.

    There are many other benefits the WRAN will provide. The data it will measure will be at heights above ground that are more appropriate for predicting the performance of large modern wind turbines, as opposed to data collected at National Weather Service stations whose anemometers are usually only about 9 m (30 feet) above ground. Also, we will collect some different types of data than most wind measurement networks, which will allow a series of important studies of the potential impact and value of South Dakota's windpower. In addition, all of the WRAN data will be made available to the public via this WWWeb site. This will hopefully enable extensive informed discussion among all South Dakotans on such important topics as rural economic development and

  6. Non-Orthogonal Random Access in MIMO Cognitive Radio Networks: Beamforming, Power Allocation, and Opportunistic Transmission.

    PubMed

    Lin, Huifa; Shin, Won-Yong

    2017-01-01

    We study secondary random access in multi-input multi-output cognitive radio networks, where a slotted ALOHA-type protocol and successive interference cancellation are used. We first introduce three types of transmit beamforming performed by secondary users, where multiple antennas are used to suppress the interference at the primary base station and/or to increase the received signal power at the secondary base station. Then, we show a simple decentralized power allocation along with the equivalent single-antenna conversion. To exploit the multiuser diversity gain, an opportunistic transmission protocol is proposed, where the secondary users generating less interference are opportunistically selected, resulting in a further reduction of the interference temperature. The proposed methods are validated via computer simulations. Numerical results show that increasing the number of transmit antennas can greatly reduce the interference temperature, while increasing the number of receive antennas leads to a reduction of the total transmit power. Optimal parameter values of the opportunistic transmission protocol are examined according to three types of beamforming and different antenna configurations, in terms of maximizing the cognitive transmission capacity. All the beamforming, decentralized power allocation, and opportunistic transmission protocol are performed by the secondary users in a decentralized manner, thus resulting in an easy implementation in practice.

  7. Non-Orthogonal Random Access in MIMO Cognitive Radio Networks: Beamforming, Power Allocation, and Opportunistic Transmission

    PubMed Central

    Lin, Huifa; Shin, Won-Yong

    2017-01-01

    We study secondary random access in multi-input multi-output cognitive radio networks, where a slotted ALOHA-type protocol and successive interference cancellation are used. We first introduce three types of transmit beamforming performed by secondary users, where multiple antennas are used to suppress the interference at the primary base station and/or to increase the received signal power at the secondary base station. Then, we show a simple decentralized power allocation along with the equivalent single-antenna conversion. To exploit the multiuser diversity gain, an opportunistic transmission protocol is proposed, where the secondary users generating less interference are opportunistically selected, resulting in a further reduction of the interference temperature. The proposed methods are validated via computer simulations. Numerical results show that increasing the number of transmit antennas can greatly reduce the interference temperature, while increasing the number of receive antennas leads to a reduction of the total transmit power. Optimal parameter values of the opportunistic transmission protocol are examined according to three types of beamforming and different antenna configurations, in terms of maximizing the cognitive transmission capacity. All the beamforming, decentralized power allocation, and opportunistic transmission protocol are performed by the secondary users in a decentralized manner, thus resulting in an easy implementation in practice. PMID:28076402

  8. Reflection on the history, coordination, and funding trends for U.S. public meat research: information to enhance resource allocation.

    PubMed

    Miller, L R

    2002-08-01

    A study was conducted to analyze resource allocation for public meat research in the United States and characterize the portfolio of meat research investments. Trends in the amount of public resources provided for meat research (beef, pork, lamb, and poultry) were analyzed for fiscal years 1980, 1985, 1990, 1995, and 1997. An in-depth analysis was conducted for data from fiscal year 1998 to characterize the profile of the research portfolio. Funding levels and scientist-year equivalents were aggregated to represent the measures of resource allocation for three mutually exclusive research categories: 1) meat quality, 2) food safety, and 3) product development and processing. Data for the 1998 profile analysis were derived from a computer search based on the combination of key words and research classification codes to avoid duplication and cluster research projects. Individual research projects were individually reviewed and a percentage was assigned to four mutually exclusive research categories: 1) meat quality, 2) food safety, 3) product development and processing, and 4) marketing. As meat research evolved over the past century, considerable efforts were expended by researchers and administrators to ensure the coordination of research and program relevance. This is demonstrated by the establishment of numerous multistate research committees. Total funding for meat science increased only modestly when adjusted for inflation during the two decades of this study; however, notable changes occurred in the distribution of resources in the portfolio. Funding for meat quality and product development and processing remained virtually unchanged when adjusted for inflation, whereas funding for food safety increased considerably. The total number of scientists conducting meat research remained virtually unchanged during the period, but the proportion allocated to food safety research increased substantially. The federal portion of total funding decreased from 61.3% to 51

  9. A Role for Homemade Financial Models in Faculty Staffing and Resource Allocations.

    ERIC Educational Resources Information Center

    Pettit, Joseph

    Recent efforts at Georgetown University to formulate financial models to assist in staffing and allocation decisions are described. The analysis considers a departmental model that has been developed, a program model that is being designed, and the potential uses and misuses of the models. Both models use historical data and do not attempt to…

  10. Transmit Power Allocation for Physical Layer Security in Cooperative Multi-Hop Full-Duplex Relay Networks

    PubMed Central

    Lee, Jong-Ho; Sohn, Illsoo; Kim, Yong-Hwa

    2016-01-01

    In this paper, we consider a transmit power allocation problem for secure transmission in multi-hop decode-and-forward (DF) full-duplex relay (FDR) networks, where multiple FDRs are located at each hop and perform cooperative beamforming to null out the signal at multiple eavesdroppers. For a perfect self-interference cancellation (PSIC) case, where the self-interference signal at each FDR is completely canceled, we derive an optimal power allocation (OPA) strategy using the Karush-Kuhn-Tucker (KKT) conditions to maximize the achievable secrecy rate under an overall transmit power constraint. In the case where residual self-interferences exist owing to imperfect self-interference cancellation (ISIC), we also propose a transmit power allocation scheme using the geometric programming (GP) method. Numerical results are presented to verify the secrecy rate performance of the proposed power allocation schemes. PMID:27763507

  11. Transmit Power Allocation for Physical Layer Security in Cooperative Multi-Hop Full-Duplex Relay Networks.

    PubMed

    Lee, Jong-Ho; Sohn, Illsoo; Kim, Yong-Hwa

    2016-10-17

    In this paper, we consider a transmit power allocation problem for secure transmission in multi-hop decode-and-forward (DF) full-duplex relay (FDR) networks, where multiple FDRs are located at each hop and perform cooperative beamforming to null out the signal at multiple eavesdroppers. For a perfect self-interference cancellation (PSIC) case, where the self-interference signal at each FDR is completely canceled, we derive an optimal power allocation (OPA) strategy using the Karush-Kuhn-Tucker (KKT) conditions to maximize the achievable secrecy rate under an overall transmit power constraint. In the case where residual self-interferences exist owing to imperfect self-interference cancellation (ISIC), we also propose a transmit power allocation scheme using the geometric programming (GP) method. Numerical results are presented to verify the secrecy rate performance of the proposed power allocation schemes.

  12. Cooperative Resource Pricing in Service Overlay Networks for Mobile Agents

    NASA Astrophysics Data System (ADS)

    Nakano, Tadashi; Okaie, Yutaka

    The success of peer-to-peer overlay networks depends on cooperation among participating peers. In this paper, we investigate the degree of cooperation among individual peers required to induce globally favorable properties in an overlay network. Specifically, we consider a resource pricing problem in a market-oriented overlay network where participating peers sell own resources (e.g., CPU cycles) to earn energy which represents some money or rewards in the network. In the resource pricing model presented in this paper, each peer sets the price for own resource based on the degree of cooperation; non-cooperative peers attempt to maximize their own energy gains, while cooperative peers maximize the sum of own and neighbors' energy gains. Simulation results are presented to demonstrate that the network topology is an important factor influencing the minimum degree of cooperation required to increase the network-wide global energy gain.

  13. Preventing conflicts among bid curves used with transactive controllers in a market-based resource allocation system

    DOEpatents

    Fuller, Jason C.; Chassin, David P.; Pratt, Robert G.; Hauer, Matthew; Tuffner, Francis K.

    2017-03-07

    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. One of the disclosed embodiments is a method for operating a transactive thermostatic controller configured to submit bids to a market-based resource allocation system. According to the exemplary method, a first bid curve is determined, the first bid curve indicating a first set of bid prices for corresponding temperatures and being associated with a cooling mode of operation for a heating and cooling system. A second bid curve is also determined, the second bid curve indicating a second set of bid prices for corresponding temperatures and being associated with a heating mode of operation for a heating and cooling system. In this embodiment, the first bid curve, the second bid curve, or both the first bid curve and the second bid curve are modified to prevent overlap of any portion of the first bid curve and the second bid curve.

  14. Resource allocation for mitigating regional air pollution–related mortality: A summertime case study for five cities in the United States

    PubMed Central

    Liao, Kuo-Jen; Hou, Xiangting; Strickland, Matthew J.

    2016-01-01

    ABSTRACT An important issue of regional air quality management is to allocate air quality management funds to maximize environmental and human health benefits. In this study, we use an innovative approach to tackle this air quality management issue. We develop an innovative resource allocation model that allows identification of air pollutant emission control strategies that maximize mortality avoidances subject to a resource constraint. We first present the development of the resource allocation model and then a case study to show how the model can be used to identify resource allocation strategies that maximize mortality avoidances for top five Metropolitan Statistical Areas (MSAs) (i.e., New York, Los Angeles, Chicago, Dallas-Fort Worth, and Philadelphia) in the continental United States collectively. Given budget constraints in the U.S. Environmental Protection Agency’s (EPA) Clean Air Act assessment, the results of the case study suggest that controls of sulfur dioxide (SO2) and primary carbon (PC) emissions from EPA Regions 2, 3, 5, 6, and 9 would have significant health benefits for the five selected cities collectively. Around 30,800 air pollution–related mortalities could be avoided during the selected 2-week summertime episode for the five cities collectively if the budget could be allocated based on the results of the resource allocation model. Although only five U.S. cities during a 2-week episode are considered in the case study, the resource allocation model can be used by decision-makers to plan air pollution mitigation strategies to achieve the most significant health benefits for other seasons and more cities over a region or the continental U.S.Implications: Effective allocations of air quality management resources are challenging and complicated, and it is desired to have a tool that can help decision-makers better allocate the funds to maximize health benefits of air pollution mitigation. An innovative resource allocation model developed in

  15. Quantitative analysis of investment allocation over various resources of health care systems by using views of product lines

    NASA Astrophysics Data System (ADS)

    Tai, Guangfu; Williams, Peter

    2013-11-01

    Hospitals can be viewed as service enterprises, of which the primary function is to provide specific sets of diagnostic and therapeutic medical services to individual patients. Each patient has certain diagnosis and therapeutic attributes in common with some other patients. Thus, patients with similar medical attributes could be 'processed' in one 'product line' of medical services, and individual treatments for patients within one 'product line' can be regarded as incurring identical consumption of health care resources. This article presents a theoretical framing for resource planning and investment allocation of various resources from a macro perspective of costs that demonstrates the need to plan capacity at the disaggregated resource level. The result of a balanced line ('optimal') is compared with an alternative scheme of 'the same ratio composing of resources' under the same monetary constraints. Thus, it is demonstrated that planning at the disaggregated level affords much better use of resources than achieved in common practice of budget control by simple percentage increase/decrease in distributing a financial vote.

  16. Flexible Coordination of Stationary and Mobile Conversations with Gaze: Resource Allocation among Multiple Joint Activities

    PubMed Central

    Mayor, Eric; Bangerter, Adrian

    2016-01-01

    Gaze is instrumental in coordinating face-to-face social interactions. But little is known about gaze use when social interactions co-occur with other joint activities. We investigated the case of walking while talking. We assessed how gaze gets allocated among various targets in mobile conversations, whether allocation of gaze to other targets affects conversational coordination, and whether reduced availability of gaze for conversational coordination affects conversational performance and content. In an experimental study, pairs were videotaped in four conditions of mobility (standing still, talking while walking along a straight-line itinerary, talking while walking along a complex itinerary, or walking along a complex itinerary with no conversational task). Gaze to partners was substantially reduced in mobile conversations, but gaze was still used to coordinate conversation via displays of mutual orientation, and conversational performance and content was not different between stationary and mobile conditions. Results expand the phenomena of multitasking to joint activities. PMID:27822189

  17. A utility oriented radio resource management algorithm for heterogenous network

    NASA Astrophysics Data System (ADS)

    Wang, Xiaoyan; Dong, Yan; Huang, Zailu

    2007-11-01

    A utility oriented radio resource management algorithm is proposed for broadband nongeostationary satellite network which works in the heterogeneous network environment and provides access services for various customers on the ground. Based on the game theory, the problem for optimizing the network's performance is turned into the problem for maximizing the network's long term utility in the proposed algorithm. With evaluation to the traffic condition and dimensions of Qos for the network at the moment while the access service requirements changing, the influence of this service requirement to the long term utility of the satellite network is audited and then the resource assignment decision can be made according to the rule for maximizing the satellite network's long term utility. The process directed by game theory guaranteed both that the benefit of the network and the requirements of the customers could be considered synthetically. The simulation results demonstrate the effectiveness of the proposed algorithm.

  18. Attentional Resource Allocation in Visuotactile Processing Depends on the Task, But Optimal Visuotactile Integration Does Not Depend on Attentional Resources

    PubMed Central

    Wahn, Basil; König, Peter

    2016-01-01

    Humans constantly process and integrate sensory input from multiple sensory modalities. However, the amount of input that can be processed is constrained by limited attentional resources. A matter of ongoing debate is whether attentional resources are shared across sensory modalities, and whether multisensory integration is dependent on attentional resources. Previous research suggested that the distribution of attentional resources across sensory modalities depends on the the type of tasks. Here, we tested a novel task combination in a dual task paradigm: Participants performed a self-terminated visual search task and a localization task in either separate sensory modalities (i.e., haptics and vision) or both within the visual modality. Tasks considerably interfered. However, participants performed the visual search task faster when the localization task was performed in the tactile modality in comparison to performing both tasks within the visual modality. This finding indicates that tasks performed in separate sensory modalities rely in part on distinct attentional resources. Nevertheless, participants integrated visuotactile information optimally in the localization task even when attentional resources were diverted to the visual search task. Overall, our findings suggest that visual search and tactile localization partly rely on distinct attentional resources, and that optimal visuotactile integration is not dependent on attentional resources. PMID:27013994

  19. Do tiny males grow up? Sperm competition and optimal resource allocation schedule of dwarf males of barnacles.

    PubMed

    Yamaguchi, Sachi; Ozaki, Yuki; Yusa, Yoichi; Takahashi, Satoshi

    2007-03-21

    Barnacles, marine crustaceans, have three sexual patterns: simultaneous hermaphroditism, dioecy and androdioecy. In dioecy and androdioecy, large individuals (females and hermaphrodites, respectively) are attached by dwarf males. Depending on species, some dwarf males grow up, others do not in their life time. To investigate which environmental conditions affect growth patterns of dwarf males of barnacles, we investigate the evolutionarily stable life history strategy of dwarf males using Pontryagin's maximum principle. Sperm competition among dwarf males and that among dwarf males and large hermaphrodites is taken into account. Dwarf males grow up in food-rich environments, while they do not grow at all in food-poor environments. ESS of the resource allocation schedule between reproduction and growth follows an "intermediate growth strategy" (simultaneous growth and reproduction) for dioecious species, in which sperm competition is not severe. On the other hand, it approaches "bang-bang control" (switching from allocating all resources toward growth then to reproduction), as sperm competition against surrounding large hermaphrodites becomes severe in androdioecious species.

  20. Improving resource allocation decisions for health and HIV programmes in South Africa: Bioethical, cost-effectiveness and health diplomacy considerations.

    PubMed

    Kevany, Sebastian; Benatar, Solomon R; Fleischer, Theodore

    2013-01-01

    The escalating expenditure on patients with HIV/AIDS within an inadequately funded public health system is tending towards crowding out care for patients with non-HIV illnesses. Priority-setting decisions are thus required and should increasingly be based on an explicit, transparent and accountable process to facilitate sustainability. South Africa's public health system is eroding, even though the government has received extensive donor financing for specific conditions, such as HIV/AIDS. The South African government's 2007 HIV plan anticipated costs exceeding 20% of the annual health budget with a strong focus on treatment interventions, while the recently announced 2012-2016 National Strategic HIV plan could cost up to US$16 billion. Conversely, the total non-HIV health budget has remained static in recent years, effectively reducing the supply of health care for other diseases. While the South African government cannot meet all demands for health care simultaneously, health funders should attempt to allocate health resources in a fair, efficient, transparent and accountable manner, in order to ensure that publicly funded health care is delivered in a reasonable and non-discriminatory fashion. We recommend a process for resource allocation that includes ethical, economic, legal and policy considerations. This process, adapted for use by South Africa's policy-makers, could bring health, political, economic and ethical gains, whilst allaying a social crisis as mounting treatment commitments generated by HIV have the potential to overwhelm the health system.