• DocumentCode
    693234
  • Title

    An adaptive power management with policy selection mechanism based on reward-punishment scheme

  • Author

    Fa-Gui Liu ; Xiao-Yong Xing ; Jin-Biao Lin ; Jun Lin

  • Author_Institution
    Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    04
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    1735
  • Lastpage
    1739
  • Abstract
    Dynamic Power Management (DPM) is a technique to reduce power consumption of electronic system by selectively shutting down idle components. The control algorithm (DPM policy) is the core in DPM system. Different policies have their own best performance in some specific system running environment. In the other hand, system running environment changes with time. Most policies cannot adapt to changes in system running environment.. This paper proposes a policy selection mechanism based on reward-punishment scheme, which can dynamically select a proper policy from a set of policies according to the system status and the past performance of policies at every decision time. Experiments prove that the proposed algorithm can achieve better performance than any other single policy synthetically.
  • Keywords
    computer networks; low-power electronics; power consumption; power control; telecommunication control; telecommunication power management; DPM policy; DPM system; adaptive power management; control algorithm; dynamic power management; electronic system; policy selection mechanism; power consumption; reward-punishment scheme; Abstracts; Adaptation models; Observers; Servers; Software; Adaptive Power Management; Policy selection; Reward Punishment Scheme;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890878
  • Filename
    6890878