• DocumentCode
    3264559
  • Title

    Algorithms for end-to-end scheduling to meet deadlines

  • Author

    Bettati, R. ; Liu, Jane W S

  • Author_Institution
    Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
  • fYear
    1990
  • fDate
    9-13 Dec 1990
  • Firstpage
    62
  • Lastpage
    67
  • Abstract
    In a multiprocessor or distributed system, jobs may need to be executed on more than one processor. When all the jobs execute on different processors in turn in the same order, the problem of end-to-end scheduling on the processors is known as the flow-shop problem. The paper describes two optimal polynomial-time algorithms for scheduling jobs in flow shops to meet deadlines, for two special cases where the scheduling problem is tractable. For the general case, where an optimal polynomial-time algorithm is unlikely to be found, a heuristic algorithm is presented
  • Keywords
    multiprocessing systems; parallel algorithms; scheduling; deadlines; distributed system; end-to-end scheduling; flow-shop problem; heuristic algorithm; jobs; multiprocessor; polynomial-time algorithms; Control systems; Heuristic algorithms; Job shop scheduling; Pipelines; Polynomials; Processor scheduling; Real time systems; Scheduling algorithm; Sensor systems; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1990. Proceedings of the Second IEEE Symposium on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-8186-2087-0
  • Type

    conf

  • DOI
    10.1109/SPDP.1990.143508
  • Filename
    143508