• DocumentCode
    1149293
  • Title

    A Statistical Study of the Performance of a Task Scheduling Algorithm

  • Author

    Bashir, A.F. ; Susarla, V. ; Vairavan, K.

  • Author_Institution
    Department of Electrical Engineering and Computer Science, University of Wisconsin
  • Issue
    8
  • fYear
    1983
  • Firstpage
    774
  • Lastpage
    777
  • Abstract
    In this note we report the results of an experimental investigation on the performance of the very simple level scheduling algorithm for unit time task systems. Although the problem of the construction of optimal k-processor schedules for unit time tasks is NP-complete, the experimental study suggests that this efficient linear time algorithm can produce optimal schedules most of the time in the sense that the probability of producing an optimal schedule using this efficient linear time algorithm is at least 0.9 for over 700 cases randomly constructed in our experiment.
  • Keywords
    Experimental study; performance evaluation; scheduling algorithms; statistical analysis; Automatic programming; Computational modeling; Costs; Microprogramming; Optimal scheduling; Production; Scheduling algorithm; Signal processing; Signal processing algorithms; Signal synthesis; Experimental study; performance evaluation; scheduling algorithms; statistical analysis;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1983.1676321
  • Filename
    1676321