• DocumentCode
    2075396
  • Title

    Optimal power-down strategies

  • Author

    Augustine, John ; Irani, Sandy ; Swamy, Chaitanya

  • Author_Institution
    Sch. of Inf. & Comput. Sci., California Univ., Irvine, CA, USA
  • fYear
    2004
  • fDate
    17-19 Oct. 2004
  • Firstpage
    530
  • Lastpage
    539
  • Abstract
    We consider the problem of selecting threshold times to transition a device to low-power sleep states during an idle period. The two-state case in which there is a single active and a single sleep state is a continuous version of the ski-rental problem. We consider a generalized version in which there is more than one sleep state, each with its own power consumption rate and transition costs. We give an algorithm that, given a system, produces a deterministic strategy whose competitive ratio is arbitrarily close to optimal. We also give an algorithm to produce the optimal online strategy given a system and a probability distribution that generates the length of the idle period. We also give a simple algorithm that achieves a competitive ratio of 3 + 2√2 ≈ 5.828 for any system.
  • Keywords
    competitive algorithms; computational complexity; energy conservation; power consumption; probability; low-power sleep states; optimal power-down strategies; power consumption rate; probability distribution; Application software; Clocks; Computer applications; Computer science; Costs; Energy consumption; IP networks; Probability distribution; Sleep; Yarn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 2004. Proceedings. 45th Annual IEEE Symposium on
  • ISSN
    0272-5428
  • Print_ISBN
    0-7695-2228-9
  • Type

    conf

  • DOI
    10.1109/FOCS.2004.50
  • Filename
    1366273