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Decentralized Self-optimization in Shared Resource Pools
chapter
posted on 2023-05-22, 13:28 authored by Loureiro, E, Nixon, P, Dobson, SResource 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.
History
Publication title
Studies in Computational Intelligence: Intelligent Networking, Collaborative Systems and ApplicationsVolume
329Editors
S Caballé, F Xhafa, A AbrahamPagination
149-170ISBN
978-3-642-16792-8Publisher
SpringerPlace of publication
BerlinExtent
13Rights statement
Copyright 2011 Springer-Verlag Berlin HeidelbergRepository Status
- Restricted