• DocumentCode
    111725
  • Title

    Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment

  • Author

    Dabbagh, Mehiar ; Hamdaoui, Bechir ; Guizani, Mohsen ; Rayes, Ammar

  • Volume
    29
  • Issue
    2
  • fYear
    2015
  • fDate
    March-April 2015
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    Energy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce the amount of energy that their data centers consume. They are calling for the development of new energy-efficient techniques that are suitable for their data centers. The services offered by the cloud computing paradigm have unique characteristics that distinguish them from traditional services, giving rise to new design challenges as well as opportunities when it comes to developing energy-aware resource allocation techniques for cloud computing data centers. In this article we highlight key resource allocation challenges, and present some potential solutions to reduce cloud data center energy consumption. Special focus is given to power management techniques that exploit the virtualization technology to save energy. Several experiments, based on real traces from a Google cluster, are also presented to support some of the claims we make in this article.
  • Keywords
    cloud computing; computer centres; power aware computing; resource allocation; virtualisation; Google cluster; cloud data center energy consumption reduction; cloud service providers; data centers; energy saving; energy-aware resource allocation technique; energy-efficient cloud computing; environmental factor; financial factor; power management techniques; virtualization technology; 5G mobile communication; Cloud computing; Energy consumption; Energy efficiency; Resource management; Switches;
  • fLanguage
    English
  • Journal_Title
    Network, IEEE
  • Publisher
    ieee
  • ISSN
    0890-8044
  • Type

    jour

  • DOI
    10.1109/MNET.2015.7064904
  • Filename
    7064904