• DocumentCode
    2479423
  • Title

    Large-grain, dynamic control system architectures

  • Author

    Welch, Lonnie R.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Texas Univ., Arlington, TX, USA
  • fYear
    1997
  • fDate
    1-3 Apr 1997
  • Firstpage
    22
  • Lastpage
    26
  • Abstract
    Most previous work in distributed real-time systems has focused on the task level of abstraction, and has assumed that all tasks have behavioral characteristics that can be determined statically. When attempting to apply these techniques to some applications (such as shipboard AAW systems), problems arise. In response to this, the dynamic path paradigm has been developed. Novel aspects of the dynamic path paradigm include its large granularity and its ability to accommodate systems that have dynamic variability. This paper provides an introduction to the dynamic path paradigm. Three classes of dynamic path are defined: the transient path, the continuous path, and the quasi-continuous path. To illustrate these classes of paths, an air defense application is modeled using dynamic paths
  • Keywords
    distributed processing; naval engineering computing; radar; real-time systems; ships; air defense application; behavioral characteristics; continuous path; dynamic control system architectures; dynamic path paradigm; dynamic variability; granularity; quasi-continuous path; real-time systems; transient path; Control systems; Delay; Frequency; Hardware; Marine vehicles; Missiles; Quality of service; Radar detection; Radar tracking; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Real-Time Systems, 1997. Proceedings of the Joint Workshop on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-8186-8096-2
  • Type

    conf

  • DOI
    10.1109/WPDRTS.1997.637859
  • Filename
    637859