• DocumentCode
    2157302
  • Title

    The partitioned scheduling of sporadic tasks according to static-priorities

  • Author

    Fisher, Nathan ; Baruah, Sanjoy ; Baker, Theodore P.

  • Author_Institution
    Dept. of Comput. Sci., North Carolina Univ., Chapel Hill, NC
  • fYear
    0
  • fDate
    0-0 0
  • Lastpage
    127
  • Abstract
    A polynomial-time algorithm is presented for partitioning a collection of sporadic tasks among the processors of an identical multiprocessor platform with static-priority scheduling on each individual processor. Since the partitioning problem is easily seen to be NP-hard in the strong sense, this algorithm is not optimal. A quantitative characterization of its worst-case performance is provided in terms of sufficient conditions and resource augmentation approximation bounds. The partitioning algorithm is also evaluated over randomly generated task systems
  • Keywords
    computational complexity; multiprocessing systems; processor scheduling; NP-hard problem; multiprocessor platform; partitioned scheduling; polynomial-time algorithm; sporadic tasks; static-priority scheduling; Computational modeling; Computer science; Law; Legal factors; Partitioning algorithms; Polynomials; Processor scheduling; Real time systems; Scheduling algorithm; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real-Time Systems, 2006. 18th Euromicro Conference on
  • Conference_Location
    Dresden
  • ISSN
    1068-3070
  • Print_ISBN
    0-7695-2619-5
  • Type

    conf

  • DOI
    10.1109/ECRTS.2006.30
  • Filename
    1647731