• DocumentCode
    1236997
  • Title

    Stability and Distributed Scheduling Algorithms

  • Author

    Stankovic, John A.

  • Author_Institution
    Department of Computer Science, Carnegie-Mellon University
  • Issue
    10
  • fYear
    1985
  • Firstpage
    1141
  • Lastpage
    1152
  • Abstract
    Many distributed scheduling algorithms have been developed and reported in the current literature. However, very few of them explicitly treat stability issues. This paper first discusses stability issues for distributed scheduling algorithms in general terms. Two very different distributed scheduling algorithms which contain explicit mechanisms for stability are then presented and evaluated with respect to individual specific stability issues. One of the agorithms is based on stochastic learning automata and the other on bidding. The results indicate how very specific the treatment of stability is to the algorithm and environnent under consideration.
  • Keywords
    Bidding; distributed computing; real time; stability; stochastic learning automata; Algorithm design and analysis; Analytical models; Computational modeling; Distributed computing; Feedback; Learning automata; Scheduling algorithm; Stability; Stochastic processes; Testing; Bidding; distributed computing; real time; stability; stochastic learning automata;
  • fLanguage
    English
  • Journal_Title
    Software Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-5589
  • Type

    jour

  • DOI
    10.1109/TSE.1985.231862
  • Filename
    1701930