1980
DOI: 10.1109/tse.1980.230492
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Performance Evaluation of Asynchronous Concurrent Systems Using Petri Nets

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Cited by 473 publications
(79 citation statements)
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“…If a net is covered by a family of conflict-free cyclic subnets (i.e., if each place and each transition of a net belongs to one of subnets), the cycle time of the net, , is equal to the maximum cycle time of the covering subnets [32], [36]:…”
Section: Timed Petri Netsmentioning
confidence: 99%
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“…If a net is covered by a family of conflict-free cyclic subnets (i.e., if each place and each transition of a net belongs to one of subnets), the cycle time of the net, , is equal to the maximum cycle time of the covering subnets [32], [36]:…”
Section: Timed Petri Netsmentioning
confidence: 99%
“…In order to analyze the performance of such models, the durations of all activities must be included in the model description. Several types of nets "with time" have been proposed by associating "time delays" with places [36], or occurrence durations with transitions [2], [32], [48] of net models. Also, the introduced temporal properties can be deterministic [32], [33], [36], [48], or can be random variables described by probability distribution functions (the negative exponential distribution being the most popular choice) [2], [3], [48].…”
Section: Introductionmentioning
confidence: 99%
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“…The determination of the liveness and the computation of the optimal throughput of a MTEG are two fundamental questions which are polynomially solved from a long time [2], [3], [4]. The minimization of a weighted sum of the initial markings for a minimum given throughput of a MTEG is in N P , and many authors developed efficient heuristics and exact methods to solve it (see.…”
Section: Introduction and Related Workmentioning
confidence: 99%
“…Rarnarnoorthy [Ram80], Sifakis [Sif7?] and others have used Petti nets for the performance evaluation of concurrent systems. The introduction of Stochastic Petri nets [SPNs] proposed by Molloy [MoI82] has ttiggered a number of interesting developments in this area, for example, the study of Discrete Time Stochastic Petri Nets [MoI8S] and of Generalized Stochastic Petti Nets [Mar84 Bal86].…”
Section: Introductionmentioning
confidence: 99%