• DocumentCode
    2015566
  • Title

    Hardware loads and power consumption in cloud computing environments

  • Author

    Dinita, R.I. ; Wilson, G. ; Winckles, A. ; Cirstea, M. ; Jones, Andrew

  • Author_Institution
    Anglia Ruskin Univ., Cambridge, UK
  • fYear
    2013
  • fDate
    25-28 Feb. 2013
  • Firstpage
    1291
  • Lastpage
    1296
  • Abstract
    This paper describes an optimised and novel approach to an Autonomous Virtual Server Management System in a `Cloud Computing´ environment and it presents a set of preliminary test results. One key advantage of this system is its ability to improve hardware power consumption through autonomously moving virtual servers around a network to balance out hardware loads. This has a potentially important impact on issues of sustainability with respect to both energy efficiency and economic viability. Another key advantage is the improvement of the overall end-user experience for services within the Cloud. This has been investigated through the configuration of a cloud-computing test-bed rig. The key features of this rig and some predictions of what may be achieved with it are described and evaluated.
  • Keywords
    cloud computing; energy conservation; power consumption; resource allocation; sustainable development; autonomous virtual server management system; cloud computing environments; cloud-computing test-bed rig; economic viability; end-user experience; energy efficiency; hardware load balancing; power consumption; sustainability; Cloud computing; Energy efficiency; Hardware; Power demand; Protocols; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2013 IEEE International Conference on
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4673-4567-5
  • Electronic_ISBN
    978-1-4673-4568-2
  • Type

    conf

  • DOI
    10.1109/ICIT.2013.6505859
  • Filename
    6505859