• DocumentCode
    2269872
  • Title

    The rate monotonic scheduling algorithm: exact characterization and average case behavior

  • Author

    Lehoczky, John ; Sha, Lui ; Ding, Ye

  • Author_Institution
    Dept. of Stat., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1989
  • fDate
    5-7 Dec 1989
  • Firstpage
    166
  • Lastpage
    171
  • Abstract
    An exact characterization of the ability of the rate monotonic scheduling algorithm to meet the deadlines of a periodic task set is represented. In addition, a stochastic analysis which gives the probability distribution of the breakdown utilization of randomly generated task sets is presented. It is shown that as the task set size increases, the task computation times become of little importance, and the breakdown utilization converges to a constant determined by the task periods. For uniformly distributed tasks, a breakdown utilization of 88% is a reasonable characterization. A case is shown in which the average-case breakdown utilization reaches the worst-case lower bound of C.L. Liu and J.W. Layland (1973)
  • Keywords
    performance evaluation; probability; real-time systems; scheduling; stochastic processes; average case behavior; exact characterization; periodic task set; probability distribution; rate monotonic scheduling algorithm; stochastic analysis; task computation; Algorithm design and analysis; Computer aided software engineering; Delay; Electric breakdown; Optimal control; Processor scheduling; Scheduling algorithm; Statistics; Stochastic processes; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real Time Systems Symposium, 1989., Proceedings.
  • Conference_Location
    Santa Monica, CA
  • Print_ISBN
    0-8186-2004-8
  • Type

    conf

  • DOI
    10.1109/REAL.1989.63567
  • Filename
    63567