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
Link To Document :
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