Results 171 to 180 of about 60,348 (227)
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2015
SPNs were introduced in 1980 as a formalism for the description of discrete event systems whose dynamic behavior can be represented by means of continuous-time homogeneous Markov chains [1]. Although SPN models are widely used for performance and reliability evaluation of many practical systems, the major problem in this approach, however, is that a ...
Chuang Lin, Lei Lei, Zhangdui Zhong
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SPNs were introduced in 1980 as a formalism for the description of discrete event systems whose dynamic behavior can be represented by means of continuous-time homogeneous Markov chains [1]. Although SPN models are widely used for performance and reliability evaluation of many practical systems, the major problem in this approach, however, is that a ...
Chuang Lin, Lei Lei, Zhangdui Zhong
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Symmetric stochastic Petri nets
IBM Journal of Research and Development, 1986Abstract : A stochastic Petri net (SPN) provides a means for formal specification of a discrete event simulation. This document focuses on SPN's with special structure and define a symmetric SPN. Exploiting properties of a symmetric SPN and underlying regenerative process structure, the authors establish steady state estimation procedures based on ...
Gerald S. Shedler, Lindsay A Prisgrove
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International Conference on Intelligent Transportation Systems, 2019
The paper presents a stochastic, infrastructure centered modeling approach for capacity analysis applications in long term planning of railway stations.
Malte Schmidt +4 more
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The paper presents a stochastic, infrastructure centered modeling approach for capacity analysis applications in long term planning of railway stations.
Malte Schmidt +4 more
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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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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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On the success of stochastic Petri nets
Proceedings 6th International Workshop on Petri Nets and Performance Models, 2002Stochastic Petri nets (SPNs) are discussed from the point of view of the results that have contributed most to the dissemination of this formalism. The historical context in which SPN ideas have developed is briefly reviewed to recount the motivations that have driven this research field and to show how its success has been recognized by the scientific
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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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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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1990
Petri Nets provide a means for modeling and graphically representing the possible behavior of systems in which concurrency, serializability, synchronization and resource sharing are important considerations [PETE], [FILM]. They can be used for the understanding and prediction of the behavior of computer systems, communication protocols, biological ...
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Petri Nets provide a means for modeling and graphically representing the possible behavior of systems in which concurrency, serializability, synchronization and resource sharing are important considerations [PETE], [FILM]. They can be used for the understanding and prediction of the behavior of computer systems, communication protocols, biological ...
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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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