Dynamic workload peak detection for slack management

A. Milutinovic, Kees Goossens, Gerardus Johannes Maria Smit

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    In this paper an analytical study on dynamism and possibilities on slack exploitation by dynamic power management is presented. We introduce a specific workload decomposition method for work required for (streaming) application processing data tokens (e.g. video frames) with work behaviour patterns as a mix of periodic and aperiodic patterns. It offers efficient and computationally light method for speculation on considerable work variations and its exploitation in energy saving techniques. It is used by a dynamic power management policy which has low overhead and reduces both requirements for buffering space, and deadline misses (increase QoS). We evaluate our policy in experiments on MPEG4 decoding of several different input sequences and present results.
    Original languageUndefined
    Title of host publicationProceedings of International Symposium on System-on-Chip, 2009. SOC 2009.
    EditorsJan Kuper, J. Kuper
    Place of PublicationTampere
    PublisherIEEE Computer Society
    Number of pages6
    ISBN (Print)978-1-4244-4465-6
    Publication statusPublished - 5 Oct 2009
    EventProceedings of International Symposium on System-on-Chip, 2009. SOC 2009. - Tampere, Finland
    Duration: 5 Oct 20097 Oct 2009

    Publication series

    PublisherIEEE Computer Society


    ConferenceProceedings of International Symposium on System-on-Chip, 2009. SOC 2009.
    Other5-7 Oct 2009


    • METIS-264158
    • IR-68663
    • EWI-16533
    • CAES-EEA: Efficient Embedded Architectures
    • Low power
    • Embedded Systems
    • Power Management

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