• DocumentCode
    2840022
  • Title

    Research on synthesis parameter real-time scheduling algorithm on multi-core architecture

  • Author

    Zhou, Benhai ; Qiao, Jianzhong ; Lin, Shukuan

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    5116
  • Lastpage
    5120
  • Abstract
    Nowadays, multi-core processors, which have multiple processing units on a single chip, are becoming mainstream due to their superior performance and power characteristics. Meanwhile, the design of real time system on multi-core processors is being confronted with a new challenge. However, the traditional real time scheduling algorithms, such as EDF and Pfair, easily lead to many tasks missing their deadlines on multi-core processors in overload condition. Aiming at this problem, a new scheduling algorithm which adopts synthesis parameter judging priority method to extend Pfair scheduling algorithm is proposed. The experiment results show that the deadline miss rate (DMR) of synthesis parameter scheduling algorithm is lower than that of traditional scheduling methods. Consequently, the synthesis parameter scheduling algorithm improves the schedule utilization of real-time tasks and increase real time system performance on multi-core processor effectively.
  • Keywords
    microprocessor chips; processor scheduling; EDF; Pfair scheduling algorithm; deadline miss rate; multi-core architecture; multicore processors; synthesis parameter scheduling algorithm; Computer architecture; Educational institutions; Information science; Multicore processing; Optimal scheduling; Process design; Processor scheduling; Real time systems; Scheduling algorithm; System performance; DMR; multi-core; schedule; synthesis parameter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5194980
  • Filename
    5194980