• DocumentCode
    3352078
  • Title

    Characterization of timed well-formed Petri nets behavior by means of occurrence equations

  • Author

    Chiola, G.

  • Author_Institution
    Dipartimento di Inf. e Sci. dell´´Inf., Genoa Univ., Italy
  • fYear
    1995
  • fDate
    3-6 Oct 1995
  • Firstpage
    127
  • Lastpage
    136
  • Abstract
    So called “recursive equations” have been introduced by Baccelli et al. (1992) as a convenient way of characterizing the behavior of stochastic Petri net models in terms of transition firing instances and of creation and destruction times for tokens in places. Such equations have been used to prove model properties as well as to speed up simulation by parallel processing techniques in the case of marked graph structures with FIFO token flow. We extend the technique to the case of high-level net models in which conflicts among transitions and firing disciplines different from FIFO are allowed. We propose the new name of “occurrence equations” to characterize the technique more precisely. Different execution policies that have been considered in the literature are discussed, showing the consequences they induce on the net occurrence equations
  • Keywords
    Petri nets; parallel processing; recursive functions; simulation; stochastic processes; FIFO token flow; execution policies; high-level net models; marked graph structures; occurrence equations; parallel processing techniques; recursive equations; simulation; stochastic Petri net models; timed well-formed Petri nets behavior; token creation times; token destruction times; transition conflicts; transition firing instances; Analytical models; Differential equations; Discrete event simulation; Graphics; Mathematical model; Parallel processing; Petri nets; Power system modeling; State-space methods; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Petri Nets and Performance Models, 1995., Proceedings of the Sixth International Workshop on
  • Conference_Location
    Durham, NC
  • ISSN
    1063-6714
  • Print_ISBN
    0-8186-7210-2
  • Type

    conf

  • DOI
    10.1109/PNPM.1995.524323
  • Filename
    524323