• DocumentCode
    1662974
  • Title

    Enhanced processor budget for QoS management in multimedia systems

  • Author

    Lee, Chang-Gun ; Sha, Lui

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2003
  • Abstract
    Resource reservation and QoS negotiation is a common way to guarantee timely progress of programs in distributed multimedia systems. For this, determining the available resource capacity, resource budget, is important. The resource budget depends on resource characteristics (e.g., processor, memory, disk, and network bandwidth) and scheduling algorithms. The paper provides an improved processor budget for the fixed-priority scheduling algorithm, which is most common in commercial real-time operating systems. The improvement is possible by noting that, in multimedia systems, there is a prefixed set of task periods for the finite set of QoS options and parameters. Our approach explicitly takes these periods into account and calculates the tight bound of the processor budget using the linear programming technique. This bound significantly improves Liu and Layland bound (Liu and Layland, 1973) and also it is proved to be better than any other bounds in the literature. We also show how this bound is effectively used for resource reservation and QoS re-negotiation for adapting to dynamic workload.
  • Keywords
    distributed programming; linear programming; multimedia computing; processor scheduling; quality of service; real-time systems; resource allocation; QoS management; QoS negotiation; QoS options; QoS re-negotiation; characteristics; commercial real-time operating systems; distributed multimedia systems; dynamic workload; enhanced processor budget; fixed-priority scheduling algorithm; linear programming technique; prefixed task periods; resource budget; resource capacity; resource reservation; scheduling algorithms; Availability; Bandwidth; Financial management; Multimedia systems; Operating systems; Processor scheduling; Real time systems; Resource management; Scheduling algorithm; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2003. Proceedings. International
  • ISSN
    1530-2075
  • Print_ISBN
    0-7695-1926-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2003.1213244
  • Filename
    1213244