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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.
Schonenberg, H. +3 more
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Simulation of fluid stochastic Petri nets
Proceedings 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.PR00728), 2002Describes a method for the simulation of fluid stochastic Petri nets (FSPNs). The FSPNs are a promising formalism for modeling hybrid dynamic systems, i.e. systems having both discrete and continuous components that evolve over time. Unfortunately, an analytical evaluation of performance measures for such nets requires the solution of a complex system ...
M. GRIBAUDO, SERENO, Matteo
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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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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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Markov regenerative stochastic Petri nets
Performance Evaluation, 1994Abstract Stochastic Petri nets of various types (SPN, GSPN, ESPN, DSPN etc.) are recognized as useful modeling tools for analyzing the performance and reliability of systems. The analysis of such Petri nets proceeds by utilizing the underlying continuous-time stochastic processes — continuous-time Markov chains for SPN and GSPN, semi-Markov processes
Hoon Choi +2 more
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Fuzzy Stochastic Petri Net with Uncertain Kinetic Parameters for Modeling Tumor-Immune System
Iranian Conference on Biomedical Engineering, 2018Uncertainty as inherent feature of Tumor-Immune system causes unpredictable behaviors of this complex network. Uncertainty of tumor-immune system is due to randomness in cell-cell interactions, vague, incomplete data, dynamic properties of tumor ...
Sajad Shafiekhani +3 more
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Proceedings of the 8th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools, 2017
This article displays how different processes in the hospital and healthcare sector can be modeled using Petri nets, focusing particularly on time modeling. For the duration of processes cannot be determined exactly in the field at the most, different options of modeling stochastic time concepts are featured.
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This article displays how different processes in the hospital and healthcare sector can be modeled using Petri nets, focusing particularly on time modeling. For the duration of processes cannot be determined exactly in the field at the most, different options of modeling stochastic time concepts are featured.
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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.
Robin Sahner +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.
Robin Sahner +2 more
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SPNP: stochastic Petri net package
Proceedings of the Third International Workshop on Petri Nets and Performance Models, PNPM89, 2003SPNP, a powerful GSPN package that allows the modeling of complex system behaviors, is presented. Advanced constructs are available in SPNP such as marking-dependent arc multiplicities, enabling functions, arrays of places or transitions, and subnets; the full expressive power of the C programming language is also available to increase the flexibility ...
G. Ciardo, J. Muppala, K. Trivedi
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Well-defined stochastic Petri nets
Proceedings of MASCOTS '96 - 4th International Workshop on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 2002Formalism based on stochastic Petri nets (SPNs) can employ structural analysis to ensure that the underlying stochastic process is fully determined. The focus is on the detection of conflicts and confusions at the net level, but this might require to overspecify a given SPN model. The problem becomes even more critical when reward processes of interest
G. Ciardo, R. Zijal
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