• DocumentCode
    1573006
  • Title

    A new DVS prediction algorithm for ubiquitous devices based on Cycle Mode Matching

  • Author

    Yuanfei, Chen ; Zhenmin, Zhu ; Jintao, Li ; Yi, Zeng

  • fYear
    2009
  • Firstpage
    435
  • Lastpage
    440
  • Abstract
    To take advantage of the full potential of ubiquitous devices, we will need systems which minimize power consumption. In this paper, a new time-interval-based Dynamic Voltage Scaling (DVS) prediction algorithm, Cycle Mode Matching (CMM) is proposed through reasonable analysis of the prediction parts of main current DVS algorithms. The simulation results show that the accuracy of DVS prediction is vastly improved especially for ubiquitous devices without the perceptible impact of system performance.
  • Keywords
    logic design; power aware computing; ubiquitous computing; DVS prediction algorithm; cycle mode matching; dynamic voltage scaling prediction algorithm; ubiquitous devices; Central Processing Unit; Coordinate measuring machines; Dynamic voltage scaling; Energy consumption; Frequency; Hardware; Kernel; Pervasive computing; Prediction algorithms; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing (JCPC), 2009 Joint Conferences on
  • Conference_Location
    Tamsui, Taipei
  • Print_ISBN
    978-1-4244-5227-9
  • Electronic_ISBN
    978-1-4244-5228-6
  • Type

    conf

  • DOI
    10.1109/JCPC.2009.5420145
  • Filename
    5420145