Resource allocation

About: Resource allocation is a research topic. Over the lifetime, 50866 publications have been published within this topic receiving 860863 citations. The topic is also known as: allocation of resources.

An inquiry into well-being and destitution

Abstract: Part 1 Well-being - theory and realization: the commodity basis of well-being political morality and the state the object of social contracts well-being - from theory to measurement appendix - political and civil rights indices. Part 2 Allocation of resources among households - the standard theory: resource allocation mechanisms public goods and common property resources decentralization and central guidance real national income as a measure of general well-being uncertainty, insurance and social norms. Part 3 The household and its setting - extensions of the standard theory: land, labour, savings and credit households and credit constraints poverty and the environmental resource base net national product in a dynamic economy food, care and work - the household as an allocation mechanism axiomatic bargaining theory fertility and resources - the household as a reproductive unit strategic complementarities in fertility decisions population and savings - normative considerations classical utilitarianism in a limited world food needs and work capacity adaptation to nourishment inequality, malnutrition and the disenfranchised analysis of allocation mechanisms when nutrition affects productivity incentives and development policies. Subject index: agrarian reform food subsidies employment guarantee schemes and rural infrastructure community participation and credit facilities health and education envoi.

Effective capacity: a wireless link model for support of quality of service

Abstract: To facilitate the efficient support of quality of service (QoS) in next-generation wireless networks, it is essential to model a wireless channel in terms of connection-level QoS metrics such as data rate, delay, and delay-violation probability. However, the existing wireless channel models, i.e., physical-layer channel models, do not explicitly characterize a wireless channel in terms of these QoS metrics. In this paper, we propose and develop a link-layer channel model termed effective capacity (EC). In this approach, we first model a wireless link by two EC functions, namely, the probability of nonempty buffer, and the QoS exponent of a connection. Then, we propose a simple and efficient algorithm to estimate these EC functions. The physical-layer analogs of these two link-layer EC functions are the marginal distribution (e.g., Rayleigh-Ricean distribution) and the Doppler spectrum, respectively. The key advantages of the EC link-layer modeling and estimation are: 1) ease of translation into QoS guarantees, such as delay bounds; 2) simplicity of implementation; and 3) accuracy, and hence, efficiency in admission control and resource reservation. We illustrate the advantage of our approach with a set of simulation experiments, which show that the actual QoS metric is closely approximated by the QoS metric predicted by the EC link-layer model, under a wide range of conditions.

Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

Abstract: This keynote paper: presents a 21st century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; presents some representative Cloud platforms especially those developed in industries along with our current work towards realising market-oriented resource allocation of Clouds by leveraging the 3rd generation Aneka enterprise Grid technology; reveals our early thoughts on interconnecting Clouds for dynamically creating an atmospheric computing environment along with pointers to future community research; and concludes with the need for convergence of competing IT paradigms for delivering our 21st century vision.

Genetic Algorithms and Random Keys for Sequencing and Optimization

Abstract: In this paper we present a general genetic algorithm to address a wide variety of sequencing and optimization problems including multiple machine scheduling, resource allocation, and the quadratic assignment problem. When addressing such problems, genetic algorithms typically have difficulty maintaining feasibility from parent to offspring. This is overcome with a robust representation technique called random keys. Computational results are shown for multiple machine scheduling, resource allocation, and quadratic assignment problems. INFORMS Journal on Computing, ISSN 1091-9856, was published as ORSA Journal on Computing from 1989 to 1995 under ISSN 0899-1499.

Condor-G: a computation management agent for multi-institutional grids

Abstract: In recent years, there has been a dramatic increase in the amount of available computing and storage resources, yet few have been able to exploit these resources in an aggregated form. We present the Condor-G system, which leverages software from Globus and Condor to allow users to harness multi-domain resources as if they all belong to one personal domain. We describe the structure of Condor-G and how it handles job management, resource selection, security and fault tolerance.