• DocumentCode
    723687
  • Title

    Federated Scheduling of Sporadic DAG Task Systems

  • Author

    Baruah, Sanjoy

  • Author_Institution
    Univ. of North Carolina at Chapel Hill, Chapel Hill, NC, USA
  • fYear
    2015
  • fDate
    25-29 May 2015
  • Firstpage
    179
  • Lastpage
    186
  • Abstract
    Recurrent (periodic and sporadic) task systems have traditionally been scheduled upon multiprocessor platforms using either the partitioned or the global approach. Under the recently-proposed federated approach, each task is either restricted to execute upon a single processor (as in partitioned scheduling), or may execute upon multiple processors but is the only task to execute upon each of these processors. Earlier studies concerning the federated scheduling of task systems represented using the sporadic DAG model were restricted to implicit-deadline and constrained-deadline sporadic task systems, the research reported here extends this study to the consideration of task systems represented using the more general arbitrary-deadline sporadic DAG model.
  • Keywords
    computational complexity; directed graphs; multiprocessing systems; processor scheduling; arbitrary-deadline sporadic DAG model; computational complexity; constrained-deadline sporadic task systems; directed acyclic graph; federated scheduling; implicit-deadline sporadic task systems; multiple processors; multiprocessor platforms; partitioned scheduling; periodic task systems; recurrent task systems; single processor; sporadic DAG task systems; Analytical models; Computational modeling; Real-time systems; Scheduling; Scheduling algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium (IPDPS), 2015 IEEE International
  • Conference_Location
    Hyderabad
  • ISSN
    1530-2075
  • Type

    conf

  • DOI
    10.1109/IPDPS.2015.33
  • Filename
    7161507