• DocumentCode
    3588922
  • Title

    Star-Cap: Cluster Power Management Using Software-Only Models

  • Author

    Davis, John D. ; Rivoire, Suzanne ; Goldszmidt, Moises

  • fYear
    2014
  • Firstpage
    114
  • Lastpage
    120
  • Abstract
    Star-Cap is a high-fidelity, real-time power management system for clusters. Star-Cap´s cluster power management module uses software-only power models to implement a proactive power capping mechanism with the ability to distribute a cluster´s power budget non-uniformly across nodes. We evaluated Star-Cap on a variety of MapReduce-style workloads running on a low-power cluster. Depending on application and platform, Star-Cap improves cluster throughput by 14-43% compared to using a uniform power cap distribution policy with a purely reactive power capping mechanism, even one based on real physical measurements. Furthermore, Star-Cap maintains cluster throughput while reducing overall cluster power budget by 14% with no additional capital or operating cost. Star-Cap´s proactive power capping mechanism also improves response time to power cap violations by a factor of 2 to 10. Star-Cap´s overhead for collecting, computing, and reporting data is less than 1% CPU utilization.
  • Keywords
    computer centres; power aware computing; MapReduce-style workload; Star-Cap system; cluster power management system; power cap distribution policy; proactive power capping mechanism; purely reactive power capping mechanism; software-only model; Power demand; Power measurement; Predictive models; Radiation detectors; Servers; Software; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Workshops (ICCPW), 2014 43rd International Conference on
  • ISSN
    1530-2016
  • Type

    conf

  • DOI
    10.1109/ICPPW.2014.27
  • Filename
    7103445