• DocumentCode
    2362143
  • Title

    Optimizing server power consumption in cross-domain content distribution infrastructures

  • Author

    Ge, Chang ; Wang, Ning ; Sun, Zhili

  • Author_Institution
    Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    2628
  • Lastpage
    2633
  • Abstract
    Optimizing server´s power consumption in content distribution infrastructure has attracted increasing research efforts. The technical challenge is the tradeoff between server power consumption and the content service capability on both the server and the network side. This paper proposes and evaluates a novel approach that optimizes content servers´ power consumptions in large-scale content distribution platforms across multiple ISP domains. Specifically, our approach strategically puts servers to sleep mode without violating load capacities of virtual content delivery links and active servers in the infrastructure. Such a problem can be formulated into a nonlinear programming model. The efficiency of our approach is evaluated in a content distribution topology covering two real interconnected domains. The simulation has shown that our approach is capable of reducing servers´ power consumptions by up to 62.2%, while maintaining the actual service performance in an acceptable scope.
  • Keywords
    Internet; network servers; nonlinear programming; Internet service provider; content distribution topology; content service capability; cross-domain content distribution infrastructures; interconnected domains; large-scale content distribution platforms; multiple ISP domains; nonlinear programming model; server power consumption optimization; sleep mode; virtual content delivery links; Bandwidth; Load modeling; Mathematical model; Network topology; Power demand; Servers; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363659
  • Filename
    6363659