• DocumentCode
    3537816
  • Title

    Green Flexible Opportunistic Computing with Virtualization

  • Author

    Castro, Harold ; Sotelo, German ; Diaz, Cesar O. ; Bouvry, Pascal

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Univ. de los Andes, Bogota, Colombia
  • fYear
    2011
  • fDate
    Aug. 31 2011-Sept. 2 2011
  • Firstpage
    629
  • Lastpage
    634
  • Abstract
    Energy efficiency and High computing power are basic design considerations across modern-day computing solutions due to different concerns such as system performance, operational cost, and environmental issues. Opportunistic grid infrastructures offer computational power at low cost focused on harvesting idle computing cycles of existing commodity computing resources. Other than allowing to customize the end user offer, virtualization is considered as one key techniques to reduce energy consumption in large-scale systems and contributes to the scalability of the system. This paper presents an energy efficient approach for opportunistic grids based on virtualization. The experimental results show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems without disturbing the end-user.
  • Keywords
    environmental factors; grid computing; virtual machines; commodity computing resources; dedicated computing systems; energy efficiency; environmental issues; green flexible opportunistic computing; high computing power; idle computing cycles; operational cost; opportunistic grid infrastructures; system performance; virtualization; Computers; Energy consumption; Energy measurement; Hardware; Operating systems; Virtual machining; energy-aware systems; grid computing; opportunistic computing; performance of systems; scalable architectures; virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on
  • Conference_Location
    Pafos
  • Print_ISBN
    978-1-4577-0383-6
  • Electronic_ISBN
    978-0-7695-4388-8
  • Type

    conf

  • DOI
    10.1109/CIT.2011.105
  • Filename
    6036836