• DocumentCode
    1600340
  • Title

    Distributed Processing Based on Timed Petri Nets

  • Author

    Fang, Xianwen ; Xu, Zhicai ; Yin, Zhixiang

  • Author_Institution
    Anhui Univ. of Sci. & Technol., Huainan
  • Volume
    5
  • fYear
    2007
  • Firstpage
    287
  • Lastpage
    291
  • Abstract
    At present, in the design and analysis of discrete event systems, the parallel or distributed simulation mechanism is adopted to make these models occur concurrently , then the problem will be easy to be solved, the validation of their models is often addressed via simulation. Lookahead computation is a good method that improves the distributed simulation performance of timed transition Petri nets (TTPN). Extended timed Petri nets (ETTPN) is extended in time based on TTPN, it meet lookahead requirements, and use the lookahead to analyze the ETTPN model for finding the concurrency and blocking structure, thereby making certain the logical process (LP). Based on the specialties of lookahead, the lookahead was applied in parallel simulation, and acquire the sufficient condition about the ETTPN model existing concurrency. According to the condition, parallel program can be partitioned into several logical processes, and the partition algorithm about distributed processing is avail. In order to reduce error rate,a improved mapping algorithm is presented.
  • Keywords
    Petri nets; discrete event simulation; distributed processing; discrete event systems; distributed processing; distributed simulation; extended timed Petri nets; logical process; lookahead computation; parallel simulation; timed transition Petri nets; Analytical models; Computational modeling; Concurrent computing; Discrete event simulation; Discrete event systems; Distributed computing; Distributed processing; Partitioning algorithms; Petri nets; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.335
  • Filename
    4344854