• DocumentCode
    168720
  • Title

    Metrics, Models and Methodologies for Energy-Proportional Computing

  • Author

    Subramaniam, B.

  • Author_Institution
    Dept. of Comput. Sci., Virginia Tech, Blacksburg, VA, USA
  • fYear
    2014
  • fDate
    26-29 May 2014
  • Firstpage
    575
  • Lastpage
    578
  • Abstract
    Improving non-peak power efficiency has the potential to significantly enhance the efficiency of a data center and allows us to host more resources under a given power budget. In this paper, we use RAPL interfaces to analyze and model the performance (both throughput and response time) of SPECweb benchmark under subsystem-level power limits. We show that performance under a subsystem-level power limits can be modeled using simple and well-studied non-linear models. We then leverage a load prediction model and an optimization framework to create a runtime system for power management of enterprise application. Our work shows that effective subsystem-level power capping improves the energy proportionality of the server.
  • Keywords
    benchmark testing; business data processing; computer centres; power aware computing; RAPL interfaces; SPECweb benchmark; data center; energy-proportional computing; enterprise application; load prediction model; nonlinear models; nonpeak power efficiency improvement; optimization framework; performance analysis; power budget; power management; response time; running average power limit interfaces; runtime system; subsystem-level power capping; subsystem-level power limits; throughput; Benchmark testing; Load modeling; Measurement; Optimization; Random access memory; Runtime; Time factors; Energy-proportional Computing; Enterprise Workloads; Green Computing; RAPL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/CCGrid.2014.119
  • Filename
    6846504