• DocumentCode
    1912434
  • Title

    Load balancing in distributed systems: an approach using cooperative games

  • Author

    Grosu, D. ; Chronopoulos, A.T. ; Ming-Ying Leung

  • Author_Institution
    Dept. of Comput. Sci., Texas Univ., San Antonio, TX, USA
  • fYear
    2001
  • fDate
    15-19 April 2001
  • Abstract
    In this paper we formulate the static load balancing problem in single class job distributed systems as a cooperative game among computers. It is shown that the Nash Bargaining Solution (NBS) provides a Pareto optimal allocation which is also fair to all jobs. We propose a cooperative load balancing game and present the structure of the NBS For this game an algorithm for computing NBS is derived. We show that the fairness index is, always 1 using NBS which means that the allocation is fair to all jobs. Finally, the performance of our cooperative load balancing scheme is compared with that of other existing schemes.
  • Keywords
    cooperative systems; distributed processing; game theory; resource allocation; Nash bargaining solution; Pareto optimal allocation; cooperative games; cooperative load balancing game; distributed systems; fairness index; single class job distributed systems; static load balancing; Computer science; Concurrent computing; Costs; Delay; Distributed computing; Game theory; Load management; Mathematics; NIST; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium., Proceedings International, IPDPS 2002, Abstracts and CD-ROM
  • Conference_Location
    Ft. Lauderdale, FL
  • Print_ISBN
    0-7695-1573-8
  • Type

    conf

  • DOI
    10.1109/IPDPS.2002.1015536
  • Filename
    1015536