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Decentralized and Optimal Control of Shared Resource Pools

Citation

Loureiro, E and Nixon, P and Dobson, S, Decentralized and Optimal Control of Shared Resource Pools, ACM Transactions on Autonomous and Adaptive Systems, 7, (1) pp. 14:1-14:30. ISSN 1556-4665 (2012) [Refereed Article]


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Copyright Statement

Copyright 2012 ACM

DOI: doi:10.1145/2168260.2168274

Abstract

Resource pools are collections of computational resources (e.g., servers) which can be used by different applications in a shared way. A crucial aspect in these pools is to allocate resources so as to ensure their proper usage, taking into account workload and specific requirements of each application. An interesting approach, in this context, is to allocate the resources in the best possible way, aiming at optimal resource usage. Workload, however, varies over time, and in turn, resource demands will vary too. To ensure that optimal resource usage is always in place, resource shares should be defined dynamically and over time. It has been claimed that utility functions are the main tool for enabling such self-optimizing behavior. Whereas many solutions with this characteristic have been proposed to date, none of them presents true decentralization within the context of shared pools. In this article, we then propose a decentralized model for optimal resource usage in shared resource pools, providing practical and theoretical evidence of its feasibility.

Item Details

Item Type:Refereed Article
Keywords:computational resources, decentralized algorithms, decentralized optimization, resource containers, resource management, resource pools, self-optimizing, servers, utility maximization
Research Division:Information and Computing Sciences
Research Group:Computation Theory and Mathematics
Research Field:Analysis of Algorithms and Complexity
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Computer Software and Services not elsewhere classified
Author:Nixon, P (Professor Paddy Nixon)
ID Code:77950
Year Published:2012
Web of Science® Times Cited:2
Deposited By:Research Division
Deposited On:2012-06-05
Last Modified:2014-12-08
Downloads:0

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