A Stochastic Petri Net is defined as a Petri net with exponential distribution of firing times for transitions, characterized by a set of firing delays λ and an initial marking M0.
Formalism based on stochastic Petri nets (SPNs) can employ structural analysis to ensure that the underlying stochastic process is fully determined.
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Formalisms based on stochastic Petri Nets (SPNs) can employ structural analysis to ensure that the underlying stochastic process is fully determined.
Formalisms based on stochastic Petri Nets (SPNs) can employ structural analysis to ensure that the underlying stochastic process is fully determined.
Well-defined stochastic Petri nets. Publication. Publication Type: Conference Proceedings. Authors: Ciardo, Gianfranco; Zijal, Robert. Source: Modeling�...
Generalized stochastic Petri nets (GSPN), with immediate transitions, are extensively used to model concurrent systems in a wide range of application�...
In this paper, we propose a net-level method that guides the modeler in the task of defining the priorities (and weights) of immediate transitions in a GSPN�...
Extended stochastic Petri nets (ESPNs) was defined to allow arbitrary distributed firing, assuming the underlying stochastic behavior is a semi-Markov process.
Generalized Stochastic Petri Nets are a modelling formalism that can be conveniently used for the analysis of complex models of Discrete Event Dynamic Systems.
This paper proposes a net-level method that guides the modeler in the task of defining the priorities (and weights) of immediate transitions in a GSPN model.
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