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Decentralized Self-optimization in Shared Resource Pools


Loureiro, E and Nixon, P and Dobson, S, Decentralized Self-optimization in Shared Resource Pools, Studies in Computational Intelligence: Intelligent Networking, Collaborative Systems and Applications, Springer, S Caballe, F Xhafa, A Abraham (ed), Berlin, pp. 149-170. ISBN 978-3-642-16792-8 (2011) [Research Book Chapter]

Copyright Statement

Copyright 2011 Springer-Verlag Berlin Heidelberg

DOI: doi:10.1007/978-3-642-16793-5_7


Resource pools are collections of computational resources which can be shared by different applications. The goal with that is to accommodate the workload of each application, by splitting the total amount of resources in the pool among them. In this sense, utility functions have been pointed as the main tool for enabling self-optimizing behaviour in such pools. The goal with that is to allow resources from the pool to be split among applications, in a way that the best outcome is obtained. Whereas different solutions in this context exist, it has been found that none of them tackles the problem we deal with in a total decentralized way. In this paper, we then present a decentralized and self-optimizing approach for resource management in shared resource pools.

Item Details

Item Type:Research Book Chapter
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:Theory of computation
Research Field:Computational complexity and computability
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Nixon, P (Professor Paddy Nixon)
ID Code:77944
Year Published:2011
Deposited By:Research Division
Deposited On:2012-06-05
Last Modified:2017-10-16

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