• DocumentCode
    3138302
  • Title

    Energy efficient virtual machine allocation in the cloud

  • Author

    Jansen, Ryan ; Brenner, Paul R.

  • Author_Institution
    Center for Res. Comput., Univ. of Notre Dame, Notre Dame, IN, USA
  • fYear
    2011
  • fDate
    25-28 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Reducing energy consumption is a critical step in lowering data center operating costs for various institutions. As such, with the growing popularity of cloud computing, it is necessary to examine various methods by which energy consumption in cloud environments can be reduced. We analyze the effects of virtual machine allocation on energy consumption, using a variety of real-world policies and a realistic testing scenario. We found that by using an allocation policy designed to minimize energy, total energy consumption could be reduced by up to 14%, and total monetary energy costs could be reduced by up to 26%.
  • Keywords
    cloud computing; computer centres; cost reduction; energy consumption; virtual machines; cloud allocation policy; data center operating costs lowering; energy consumption reduction; energy efficient virtual machine allocation; Energy consumption; Load management; Load modeling; Resource management; Scheduling; Servers; Virtual machining; cloud; energy; virtual machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Conference and Workshops (IGCC), 2011 International
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4577-1222-7
  • Type

    conf

  • DOI
    10.1109/IGCC.2011.6008550
  • Filename
    6008550