• DocumentCode
    2351941
  • Title

    LLF Schedulability Analysis on Multiprocessor Platforms

  • Author

    Lee, Jinkyu ; Easwaran, Arvind ; Shin, Insik

  • Author_Institution
    Dept. of Comput. Sci., KAIST, Daejeon, South Korea
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 3 2010
  • Firstpage
    25
  • Lastpage
    36
  • Abstract
    LLF (Least Laxity First) scheduling, which assigns a higher priority to a task with smaller laxity, has been known as an optimal preemptive scheduling algorithm on a single processor platform. However, its characteristics upon multiprocessor platforms have been little studied until now. Orthogonally, it has remained open how to efficiently schedule general task systems, including constrained deadline task systems, upon multiprocessors. Recent studies have introduced zero laxity (ZL) policy, which assigns a higher priority to a task with zero laxity, as a promising scheduling approach for such systems (e.g., EDZL). Towards understanding the importance of laxity in multiprocessor scheduling, this paper investigates the characteristics of ZL policy and presents the first ZL schedulability test for any work-conserving scheduling algorithm that employs this policy. It then investigates the characteristics of LLF scheduling, which also employs the ZL policy, and derives the first LLF-specific schedulability test on multiprocessors. It is shown that the proposed LLF test dominates the ZL test as well as the state-of-art EDZL test.
  • Keywords
    multiprocessing systems; processor scheduling; LLF schedulability analysis; ZL schedulability test; constrained deadline task systems; general task systems; least laxity first scheduling; multiprocessor platforms; multiprocessor scheduling; multiprocessors; optimal preemptive scheduling; scheduling algorithm; single processor platform; zero laxity policy; LLF; Multiprocessor Platforms; Real-time scheduling; Schedulability Anlaysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real-Time Systems Symposium (RTSS), 2010 IEEE 31st
  • Conference_Location
    San Diego, CA
  • ISSN
    1052-8725
  • Print_ISBN
    978-0-7695-4298-0
  • Type

    conf

  • DOI
    10.1109/RTSS.2010.13
  • Filename
    5702215