• DocumentCode
    1481319
  • Title

    An Efficient Threshold-Based Power Management Mechanism for Heterogeneous Soft Real-Time Clusters

  • Author

    Wang, Leping ; Lu, Ying

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
  • Volume
    6
  • Issue
    3
  • fYear
    2010
  • Firstpage
    352
  • Lastpage
    364
  • Abstract
    With growing cost of electricity, the power management (PM) of server clusters has become an important problem. However, most previous researchers only address the challenge in homogeneous environments. Considering the increasing popularity of heterogeneous systems, this paper proposes an efficient algorithm for PM of heterogeneous soft real-time clusters. It is built on simple but effective mathematical models. When deployed to a new platform, the software incurs low configuration cost because no extensive performance measurements and profiling are required. To strive for efficiency, a threshold-based approach is adopted. In this paper, we systematically study this approach and its design decisions.
  • Keywords
    mathematical analysis; power engineering computing; power markets; real-time systems; workstation clusters; electricity management; heterogeneous soft real-time clusters; heterogeneous systems; homogeneous environments; mathematical models; server clusters; threshold-based approach; threshold-based power management mechanism; Dynamic power management (PM); dynamic voltage scaling; heterogenous clusters; soft real-time;
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2010.2047950
  • Filename
    5456231