• DocumentCode
    3410978
  • Title

    Modeling and simulation of processors and networks for smart Navy aircraft components and systems

  • Author

    George, Alan ; Miars, Michael ; Todd, Robert ; Rosen, Warren

  • Author_Institution
    High-Performance Comput. & Simulation Res. Lab., Florida State Univ., Tallahassee, FL, USA
  • fYear
    1996
  • fDate
    31 Mar-2 Apr 1996
  • Firstpage
    386
  • Lastpage
    390
  • Abstract
    Researchers in the HCS Research Lab are developing a variety of network and processor models to support the simulation of smart Navy aircraft components/systems (SNACS) using a coarse-grain, discrete-event, system modeling and simulation tool from NuThena Systems Inc. called Foresight. Foresight is being extended to develop a coarse-grain functional analysis system to portray the behavior of smart systems rapidly and accurately in various environments, and to extract performance and dependability measures from these systems. This paper summarizes on-going research and development efforts to date involving the design, modeling, and simulation of processors, networks, and embedded computer systems for smart aircraft components and systems
  • Keywords
    aircraft computers; discrete event simulation; military aircraft; military avionics; real-time systems; Foresight; HCS Research Lab; NuThena Systems Inc.; SNACS; coarse-grain discrete-event system modeling and simulation tool; coarse-grain functional analysis; dependability measures; embedded computer systems; networks; performance measures; processors; smart Navy aircraft components/systems; Aerospace electronics; Aircraft propulsion; Computational modeling; Computer networks; Intelligent vehicles; Laboratories; Military aircraft; Military computing; Research and development; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
  • Conference_Location
    Baton Rouge, LA
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-7352-4
  • Type

    conf

  • DOI
    10.1109/SSST.1996.493534
  • Filename
    493534