• DocumentCode
    710239
  • Title

    Evaluation of Online Power-Down Algorithms

  • Author

    Andro-Vasko, James ; Bein, Wolfgang ; Nyknahad, Dara ; Ito, Hiro

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Nevada Las Vegas, Las Vegas, NV, USA
  • fYear
    2015
  • fDate
    13-15 April 2015
  • Firstpage
    473
  • Lastpage
    478
  • Abstract
    Power-down mechanisms are well known and are widely used to save energy, these mechanisms are encountered on an everyday basis. We consider a device which has states OFF, ON, and a fixed number of intermediate states. The state of the device can be switched at any time. In the OFF state the device consumes zero energy and in ON state it works at its full power consumption. The intermediate states consume only some fraction of energy proportional to the usage time but switching back to the ON state has different constant setup cost depending on the current state. We give results regarding power consumption to satisfy service request based on online competitive analysis. Competitive ratios, which show the effectiveness of the algorithms compared to the optimal solution, are calculated for systems with up to six states. For two state on-off systems, a decrease and reset algorithm is analyzed experimentally. It is shown that this algorithm has favorable performance for request sequences with high slackness degree.
  • Keywords
    competitive algorithms; energy consumption; green computing; power aware computing; OFF state; ON state; constant setup cost; intermediate states; online competitive analysis; online power-down algorithms; power consumption; power-down mechanisms; request sequences; slackness degree; Algorithm design and analysis; Computer science; Information technology; Optimized production technology; Power demand; Random sequences; Switches; Decrease and Reset Algorithms; Green Computing; Multiple State Systems; Online Competitive Analysis; Power Down Problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology - New Generations (ITNG), 2015 12th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-8827-3
  • Type

    conf

  • DOI
    10.1109/ITNG.2015.82
  • Filename
    7113518