• DocumentCode
    456694
  • Title

    The Study on Data Distribution Management Based on Petri Net

  • Author

    Xianwen, Fang ; Yan, Zhao ; Zhixiang, Yin

  • Author_Institution
    Maths & Phys. Dept., Anhui Univ. of Sci. & Technol.
  • Volume
    2
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    75
  • Lastpage
    78
  • Abstract
    To the research on the high level architecture (HLA) in the data distribution management (DDM), the essential target is to enhance the data filter efficiency, to reduce computing quantity at the same time, and to provide well scalability for some kind of distribution simulation application under the HLA standard. The colored Petri net has the characteristic that including the basic Petri net and the higher-level language, which has the large superiority to the distribution simulation in data distribution management. Using the data distribution mechanism based on the colored Petri net, the data filters can be well carried out, the data filter efficiency can be enhanced, and the success rate of the data dispatching and receiving can be guaranteed. The simulation experiment result indicated that, the data distribution mechanism based on the colored Petri net is better than the region matching method
  • Keywords
    Petri nets; data handling; digital simulation; distributed processing; formal specification; information filters; HLA; colored Petri nets; data dispatching; data distribution management; data filter efficiency enhancement; distribution simulation application; high level architecture; high-level language; Broadcasting; Computational modeling; Computer architecture; Dispatching; Distributed computing; Distributed decision making; Filters; Physics computing; Scalability; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.370
  • Filename
    1691932