• DocumentCode
    2352944
  • Title

    Hybrid algorithms for dynamic schedulability testing

  • Author

    McElhone, C. ; Burns, A. ; Davis, R.

  • Author_Institution
    Sch. of Comput. & Math., Teesside Univ, Middlesbrough, UK
  • fYear
    1995
  • fDate
    14-16 Jun 1995
  • Firstpage
    254
  • Lastpage
    261
  • Abstract
    The paper describes an investigation into the performance of a variety of algorithms for dynamic schedulability testing. A real time node may run its own set of resident periodic tasks and may also receive aperiodic requests for computations to be completed within hard deadlines. In order to decide whether each request is schedulable, and can therefore be accepted, the node may use a guarantee algorithm. Such algorithms trade off complexity against pessimism. The paper describes how algorithms of hybrid complexity can achieve the best trade off for given characteristics of the resident periodic task set
  • Keywords
    computational complexity; program testing; real-time systems; scheduling; aperiodic requests; dynamic schedulability testing; guarantee algorithm; hard deadlines; hybrid algorithms; hybrid complexity; pessimism; real time node; resident periodic task set; resident periodic tasks; Computer science; Dynamic scheduling; Heuristic algorithms; Optimal scheduling; Processor scheduling; Real time systems; Runtime; Scheduling algorithm; Springs; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real-Time Systems, 1995. Proceedings., Seventh Euromicro Workshop on
  • Conference_Location
    Odense
  • ISSN
    1068-3070
  • Print_ISBN
    0-8186-7112-2
  • Type

    conf

  • DOI
    10.1109/EMWRTS.1995.514319
  • Filename
    514319