• DocumentCode
    807035
  • Title

    An overview of the competitive and adversarial approaches to designing dynamic power management strategies

  • Author

    Irani, Sandy ; Singh, Gaurav ; Shukla, Sandeep K. ; Gupta, Rajesh K.

  • Author_Institution
    Sch. of Inf. & Comput. Sci., Univ. of California, Irvine, CA, USA
  • Volume
    13
  • Issue
    12
  • fYear
    2005
  • Firstpage
    1349
  • Lastpage
    1361
  • Abstract
    Dynamic power management (DPM) refers to the problem of judicious application of various low-power techniques based on runtime conditions in an embedded system to minimize the total energy consumption. To be effective, often such decisions take into account the operating conditions and the system-level design goals. DPM has been a subject of intense research in the past decade driven by the need for low power consumption in modern embedded devices. We present a comprehensive overview of two closely related approaches to designing DPM strategies, namely, competitive analysis approach and model checking approach based on adversarial modeling. Although many other approaches exist for solving the system-level DPM problem, these two approaches are closely related and are based on a common theme. This commonality is in the fact that the underlying model is that of a competition between the system and an adversary. The environment that puts service demands on devices is viewed as an adversary, or to be in competition with the system to make it burn more energy, and the DPM strategy is employed by the system to counter that.
  • Keywords
    embedded systems; integrated circuit design; integrated circuit modelling; low-power electronics; reviews; adversarial modeling; competitive analysis; dynamic power management strategies; low-power design; model checking; online algorithm; probabilistic model checking; stochastic policy; Algorithm design and analysis; Computer science; Embedded computing; Energy consumption; Energy management; Operating systems; Power system management; Power system modeling; Runtime; Stochastic processes; Competitive analysis; dynamic power management; low-power design; online algorithm; probabilistic model checking; stochastic policy;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2005.862725
  • Filename
    1583661