• DocumentCode
    1874108
  • Title

    Modeling and Performance Analysis of FC-AE-ASM Which Base on PETRI Net Theory

  • Author

    Liu Bin ; Zhang Jandong ; Yang Qiming ; Li Dujuan

  • Author_Institution
    Inf. Technol. Applic. Res. Inst., Northwestern Polytech. Univ. of Syst. Eng., Xi´an, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Fiber Channel is the new generation network and bus technology, with high property of good compatibility, low latency, high reliability, high fast transmission, distance transmission and so on. Based on periodic and event information, this paper took deterministic and stochastic Petri nets as a tool, to model a simulated FC-AE-ASM network in the Fiber Channel Avionics Environment. It also calculates two important performance figure of FC-AE-ASM network load and time-delay of the system according to simulation results. By analyzing the curve of the data, it is of help to gain a deeper understanding of the transmitting mechanism of event messages of avionics system in FC-AE-ASM network, and provide important theoretical basis for the design and improvement of integrated avionics system.
  • Keywords
    Petri nets; avionics; deterministic algorithms; next generation networks; optical fibre subscriber loops; stochastic processes; telecommunication network reliability; wireless channels; FC-AE-ASM network; Petri net theory; anonymous subscriber messaging; deterministic Petri nets; fiber channel avionics environment; integrated avionics system; new generation network; performance analysis; stochastic Petri nets; telecommunication network reliability; time-delay; Aerospace electronics; Analytical models; Delay; Load modeling; Mathematical model; Optical fiber networks; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5676918
  • Filename
    5676918