• DocumentCode
    3024097
  • Title

    Enhanced Race-To-Halt: A Leakage-Aware Energy Management Approach for Dynamic Priority Systems

  • Author

    Awan, Muhammad Ali ; Petters, Stefan M.

  • Author_Institution
    ISEP-IPP Porto, Porto, Portugal
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    92
  • Lastpage
    101
  • Abstract
    With progressing CMOS technology miniaturization, the leakage power consumption starts to dominate the dynamic power consumption. The recent technology trends have equipped the modern embedded processors with the several sleep states and reduced their overhead (energy/time) of the sleep transition. The dynamic voltage frequency scaling (DVFS) potential to save energy is diminishing due to efficient (low overhead) sleep states and increased static (leakage) power consumption. The state-of-the-art research on static power reduction at system level is based on assumptions that cannot easily be integrated into practical systems. We propose a novel enhanced race-to-halt approach (ERTH) to reduce the overall system energy consumption. The exhaustive simulations demonstrate the effectiveness of our approach showing an improvement of up to 8 % over an existing work.
  • Keywords
    CMOS integrated circuits; embedded systems; energy management systems; power aware computing; power consumption; CMOS technology miniaturization; dynamic power consumption; dynamic priority systems; dynamic voltage frequency scaling; enhanced race to halt; leakage aware energy management; leakage power consumption; modern embedded processors; static power reduction; Energy consumption; Equations; Hardware; Mathematical model; Power demand; Real time systems; Schedules; Leakage aware scheduling; power management; race-to-halt approach; real-time scheduling; shutdown; sleep state; static power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real-Time Systems (ECRTS), 2011 23rd Euromicro Conference on
  • Conference_Location
    Porto
  • ISSN
    1068-3070
  • Print_ISBN
    978-1-4577-0643-1
  • Type

    conf

  • DOI
    10.1109/ECRTS.2011.17
  • Filename
    6001772