• DocumentCode
    2515547
  • Title

    Power-efficient workload distribution for virtualized server clusters

  • Author

    Wang, Leping ; Lu, Ying

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Nebraska - Lincoln, Lincoln, NE, USA
  • fYear
    2010
  • fDate
    19-22 Dec. 2010
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    With growing cost of electricity, the power management of server clusters has become an important problem. Most existing research, however, either do not apply to virtualized environments or do not focus on power-efficient workload distribution. To fill in this research gap, we propose a workload distribution algorithm for virtualized server clusters to reduce their power consumptions and provide quality of service (QoS). Built upon optimization, queuing theory and control theory techniques, our approach achieves the design goal, where QoS is provided to a larger number of requests with a smaller amount of power consumption.
  • Keywords
    network servers; power aware computing; power consumption; quality of service; virtual machines; control theory technique; power consumption; power management; power-efficient workload distribution algorithm; quality of service; queuing theory; virtualized environment; virtualized server cluster; Admission control; Algorithm design and analysis; Clustering algorithms; Optimization; Power demand; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing (HiPC), 2010 International Conference on
  • Conference_Location
    Dona Paula
  • Print_ISBN
    978-1-4244-8518-5
  • Electronic_ISBN
    978-1-4244-8519-2
  • Type

    conf

  • DOI
    10.1109/HIPC.2010.5713178
  • Filename
    5713178