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Rewritable Stochastic Petri Nets
Proceedings of the 8th International Conference on Computer Modeling and Simulation, 2017Petri nets (PNs) are a central formalism for distributed systems, though, PNs turn out to be inadequate to model changes in real systems' layout. To cope with such a major issue, a framework based on Reisig's algebraic PNs has been recently proposed.
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Limits of fluidification for a stochastic Petri nets by timed continuous Petri nets [PDF]
2018 International Conference on Intelligent Systems and Computer Vision (ISCV), 2018 Reliability analysis is often based on stochastic discrete event models like Markov models or stochastic Petri nets. For complex dynamical systems with numerous components, analytical expressions of the steady state are tedious to work out because of the combinatory explosion with discrete models.
N. Benaya, T. Mourabit, N. El-Akchioui
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Stochastic Timed Petri Nets and Stochastic Petri Nets
1998Stochastic timed Petri nets (STPN’s) are Petri nets in which stochastic firing times are associated with transitions. An STPN is essentially a high-level model that generates a stochastic process. STPN-based performance evaluation basically comprises modeling the given system by an STPN and automatically generating the stochastic process that governs ...
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An introduction to generalized stochastic Petri nets
Microelectronics Reliability, 1991Abstract The paper decribes the GSPN approach to the performance evaluation of distributed systems. The structural properties and temporal specifications of GSPN are summarized, and application examples are then illustrated, trying to emphasize the methodology to be followed in the model development and validation, rather than the numerical results ...
M. AJMONE MARSAN +5 more
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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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Mean value analysis of stochastic Petri nets
Performance Evaluation, 1997Summary: We present a Mean Value Analysis (MVA) algorithm for the computation of performance measures in Product Form Solution Stochastic Petri Nets. Basic to the derivation of this algorithm are recursive expressions for the performance indices that are a non-trivial generalization of those derived for the MVA of multiple class product form queueing ...
SERENO, Matteo, BALBO, Gianfranco
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Discrete Time Stochastic Petri Nets
IEEE Transactions on Software Engineering, 1985Basic graph models of processes, such as Petri nets, have usually omitted the concept of time as a parameter. Time has been added to the Petri net model in two ways. The timed Petri net (TPN) uses a fixed number of discrete time intervals. The stochastic Petri net (SPN) uses an exponentially distributed random variable.
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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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Perturbation analysis of stochastic Petri nets
IEEE Transactions on Automatic Control, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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