Using Stochastic Petri Nets for Real-Time Nth-Order Stochastic Composition

Using Stochastic Petri Nets for Real-Time Nth-Order Stochastic Composition

Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your perso...

Analysis of discrete-time stochastic Petri nets

W. M. P. van der Aalst, K. M. van Hee and H. A. Reijers Eindhoven University of Technology, Department of Mathematics and Computing Science, P.O. Box 513, NL-5600 MB, Eindhoven, The Netherlands Eindhoven University of Technology, Department of Technology Management, P.O. Box 513, NL-5600 MB, Eindhoven, The Netherlands Deloitte & Touche Bakkenist, Management and ICT Consultants, P.O. Box 23103, ...

Discrete-time Markovian Stochastic Petri Nets

We revisit and extend the original definition of discrete-time stochastic Petri nets, by allowing the firing times to have a “defective discrete phase distribution”. We show that this formalism still corresponds to an underlying discrete-time Markov chain. The structure of the state for this process describes both the marking of the Petri net and the phase of the firing time for of each transit...

Discrete-Time Markovian Stochastic Petri Nets

Fluid Stochastic Petri Nets :

In this paper we introduce a new class of stochastic Petri nets in which one or more places can hold uid rather than discrete tokens. We deene a class of uid stochastic Petri nets in such a way that the discrete and continuous portions may aaect each other. Following this deenition we provide equations for their transient and steady-state behavior. We present several examples showing the utilit...