• DocumentCode
    2222110
  • Title

    The improved EDF scheduling algorithm for embedded real-time system in the uncertain environment

  • Author

    Li, Xiaojie ; He, Xianbo

  • Author_Institution
    Coll. of Comput. Sci., China West Normal Univ., Nanchong, China
  • Volume
    4
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    Most of real-time task scheduling algorithm of embedded real-time systems are based on the worst time for the implementation of scheduling, which will be a waste of resources. Aiming at network system for real-time multimedia application requirements and the current scheduling algorithm lack of real-time performance(ability), this paper analyzes the typical dynamic EDF(Eealiest Deadline First) scheduling algorithm for embedded real-time system, establishes a periodic task set model and presents an improved EDF scheduling algorithm based on the model. Through theoretical analysis and simulation results, in the non-overload case, the algorithm can achieve the EDF scheduling algorithm considerable performance, and mean switching number among tasks is less than the EDF algorithm; in overload case, compared with the EDF algorithm, it has more better scheduling performance, which can effectively guarantee the scheduling success of the high-priority task; finally, this verifys the effectiveness of the improved EDF scheduling algorithm.
  • Keywords
    embedded systems; multimedia computing; scheduling; task analysis; EDF scheduling algorithm; earliest deadline first; embedded real-time system; network system; real-time multimedia application requirement; real-time task scheduling algorithm; uncertain environment; Algorithm design and analysis; Processor scheduling; Scheduling; Switches; EDF algorithm; deadline missing ratio; embedded real-time system; overload;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579295
  • Filename
    5579295