Decentralized Self-optimization in Shared Resource Pools

E Loureiro, Patrick Nixon, S Dobson

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


    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.
    Original languageEnglish
    Title of host publicationStudies in Computational Intelligence: Intelligent Networking, Collaborative Systems and Applications
    EditorsS Caballé, F Xhafa, A Abraham
    Place of PublicationBerlin
    ISBN (Print)978-3-642-16792-8
    Publication statusPublished (in print/issue) - 2011


    • Computational resources
    • decentralized algorithms
    • decentralized optimization
    • resource containers
    • resource management
    • resource pools
    • self-optimizing
    • servers
    • utility maximization


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