Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics

E Loureiro, Patrick Nixon, S Dobson

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    Shared resource pools are facilities featuring a certain amount of resources which can be used by different applications. For managing resources in such pools, the demand of each application can be used. Such a demand, however, is driven by the workload, which varies over time. For that reason, adaptive approaches have been proposed for the management of shared resources pools. Whereas a number of solutions exist in this context, they are either not truly decentralized or do not apply to the problem we are dealing with. In this paper, we then present Darma, an approach for managing shared resource pools in a truly decentralized, adaptive, and optimal way.
    Original languageEnglish
    Title of host publicationUnknown Host Publication
    EditorsJulien Bourgeois Marco Danelutto
    PublisherIEEE Computer Society
    Pages51-58
    Number of pages8
    ISBN (Print)978-0-7695-3939-3
    DOIs
    Publication statusPublished - 2010
    EventProceedings of the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing - Pisa, Italy
    Duration: 1 Jan 2010 → …

    Conference

    ConferenceProceedings of the 18th Euromicro Conference on Parallel, Distributed and Network-based Processing
    Period1/01/10 → …

    Keywords

    • n/a

    Cite this

    Loureiro, E., Nixon, P., & Dobson, S. (2010). Adaptive Management of Shared Resource Pools with Decentralized Optimization and Epidemics. In J. B. Marco Danelutto (Ed.), Unknown Host Publication (pp. 51-58). IEEE Computer Society. https://doi.org/10.1109/PDP.2010.17