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Simulation with Stochastic Petri-Nets
2015 Winter Simulation Conference (WSC), 2015This tutorial reviews the role of Stochastic Petri Nets (SPNs) in stochastic simulation. The evolution of SPNs as a component-level state-space modeling framework is discussed. SPNs are compared to both process-based approaches to discrete event simulation (DES) and to agent-based modeling (ABM).
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1996
In Chapters 4 and 6 we discussed Markov and Markov reward models. These models are applicable to a wide range of modeling problems and provide interesting reliability, availability, performance and performability measures. But, Markov models also have some associated difficulties.
Antonio Puliafito +2 more
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In Chapters 4 and 6 we discussed Markov and Markov reward models. These models are applicable to a wide range of modeling problems and provide interesting reliability, availability, performance and performability measures. But, Markov models also have some associated difficulties.
Antonio Puliafito +2 more
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Applications of non-Markovian stochastic Petri nets
ACM SIGMETRICS Performance Evaluation Review, 1998Petri nets represent a powerful paradigm for modeling parallel and distributed systems. Parallelism and resource contention can easily be captured and time can be included for the analysis of system dynamic behavior. Most popular stochastic Petri nets assume that all firing times are exponentially distributed. This is found to be a severe limitation in
Fricks R. M. +3 more
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Tagged Generalized Stochastic Petri Nets
2009This paper introduces an extension of the Generalized Stochastic Petri Net (GSPN) formalism in order to enable the computation of first passage time distributions of tokens. A "tagged token" technique is used which relies on net's structural properties to guide the correct specification of this extension.
BALBO, Gianfranco +2 more
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Introduction to Stochastic Petri Nets
2001Stochastic Petri Nets are a modelling formalism that can be conveniently used for the analysis of complex models of Discrete Event Dynami Systems (DEDS) and for their performance and reliability evaluation. The automatic construction of the probabilistic models that underly the dynamic behaviours of these nets rely on a set of results that derive from ...
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Stochastic Petri Nets and Their Applications
2001Although continuous-time Markov chains have been widely used to analyze the performance of communication networks, constructing and solving a continuous-time Markov chain is a tedious and error-prone procedure, especially when the systems are complex. A relief from the burden is provided by stochastic Petri nets and the corresponding software packages,
Kishor S. Trivedi +3 more
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History-Dependent Stochastic Petri Nets
2010Stochastic Petri Nets are a useful and well-known tool for performance analysis. However, an implicit assumption in the different types of Stochastic Petri Nets is the Markov property. It is assumed that a choice in the Petri net only depends on the current state and not on earlier choices.
Helen Schonenberg +3 more
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Design and Identification of Stochastic and Deterministic Stochastic Petri Nets
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2012In this paper, we consider the identification problem of stochastic and deterministic stochastic Petri nets (PNs). The approach herein proposed consists of inferring a PN structure and identifying its parameters. Hence, the first step leads to the synthesis of a PN structure with the measurable sequence of events and states.
Ould El Mehdi, Souleiman +5 more
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