A Fine-grained Model for Adaptive On-demand Provisioning of CPU Shares in Data Centers

E Loureiro, Paddy Nixon, S Dobson

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

    Abstract

    Data Centers usually host different third party applications, each of them possibly having different requirements in terms of QoS. To achieve them, sufficient resources, like CPU and memory, must be allocated to each application. However, workload fluctuations might arise, and so, resource demands will vary. Allocations based on worst/average case scenarios can lead to non-desirable results. A better approach is then to assign resources on demand. Also, due to the complexity and size of current and future systems, self-adaptive solutions are essential. In this paper, we then present Grains, a self-adaptive approach for resource management in Data Centers under varying workload.
    Original languageEnglish
    Title of host publicationUnknown Host Publication
    PublisherSpringer
    Pages97-108
    Number of pages12
    ISBN (Print)978-3-540-92156-1
    DOIs
    Publication statusPublished - 2008
    EventSelf-Organizing Systems: Third International Workshop, IWSOS 2008 - Vienna, Austria
    Duration: 1 Jan 2008 → …

    Workshop

    WorkshopSelf-Organizing Systems: Third International Workshop, IWSOS 2008
    Period1/01/08 → …

    Keywords

    • n/a

    Fingerprint Dive into the research topics of 'A Fine-grained Model for Adaptive On-demand Provisioning of CPU Shares in Data Centers'. Together they form a unique fingerprint.

  • Cite this

    Loureiro, E., Nixon, P., & Dobson, S. (2008). A Fine-grained Model for Adaptive On-demand Provisioning of CPU Shares in Data Centers. In Unknown Host Publication (pp. 97-108). Springer. https://doi.org/10.1007/978-3-540-92157-8_9