• DocumentCode
    1823392
  • Title

    Application stream ordering for mapping real-time applications to a heterogeneous, distributed target platform

  • Author

    Chatterjee, Saurav ; Strosnider, Jay

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1995
  • fDate
    34814
  • Firstpage
    162
  • Lastpage
    163
  • Abstract
    Mapping, i.e., allocating resources to applications and finding I/O routes between resources, is a crucial step in meeting real-time/multi-media applications´ end-to-end timing requirements. Given a set of real-time applications, the order in which they are mapped can also greatly impact whether these timing requirements are met. Because the optimal ordering solution is intractable, this paper introduces a logical application stream laxity metric that can be used to order the application streams in linear time that produces excellent results. We apply this metric to an example audio/video application set to illustrate our approach and to compare our solution to the optimal one
  • Keywords
    distributed processing; multimedia computing; real-time systems; resource allocation; application stream ordering; audio/video application; end-to-end timing requirements; heterogeneous distributed target platform; logical application stream laxity metric; optimal ordering solution; real-time applications; real-time/multi-media applications; timing requirements; Application software; Delay; Distributed computing; Hardware; Real time systems; Resource management; Sorting; Streaming media; Timing; Yarn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Real-Time Systems, 1995. Proceedings of the Third Workshop on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-7099-1
  • Type

    conf

  • DOI
    10.1109/WPDRTS.1995.470492
  • Filename
    470492