• DocumentCode
    3079231
  • Title

    On Energy- and Cooling-Aware Data Centre Workload Management

  • Author

    Chisca, Danuta Sorina ; Castineiras, Ignacio ; Mehta, Deepak ; O´Sullivan, Barry

  • Author_Institution
    Alma Mater Studiorum, Univ. di Bologna, Bologna, Italy
  • fYear
    2015
  • fDate
    4-7 May 2015
  • Firstpage
    1111
  • Lastpage
    1114
  • Abstract
    The power consumption of a data centre (DC)can be attributed to the power consumed for running the servers and to the computer room air conditioner (CRAC)power for cooling them. The challenge is to distribute the load among servers, controlling the number of active servers and optimally balancing IT and cooling power requirement. This goal demands integration of thermal, power and workload models that minimises a non-linear energy utilisation function. In this paper first we encode this problem using a non-linear objective function and use local search for solving it. We carryout simulation experiments using data provided by the Bluesimtool. The results encourage the effectiveness of our approach, showing that system-wide energy utilisation can be reduced using a holistic approach.
  • Keywords
    air conditioning; computer centres; digital simulation; file servers; power aware computing; search problems; Bluesim tool; CRAC; DC; IT power requirement; active servers; computer room air conditioner power; cooling power requirement; cooling-aware data centre workload management; energy-aware data centre workload management; holistic approach; local search; nonlinear objective function; power consumption; power models; system-wide energy utilisation; thermal models; workload models; Computational modeling; Computers; Cooling; Heating; Linear programming; Power demand; Servers; Energy minimisation; local search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CCGrid.2015.141
  • Filename
    7152599