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Stochastic high-level Petri nets and applications

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2 Author(s)
C. Lin ; State Planning Comm., Beijing, China ; D. C. Marinescu

A class of stochastic Petri nets called stochastic high-level Petri nets (SHLPNs) is proposed. SHLPNs are high-level Petri nets augmented with exponentially distributed firing times. SHLPNs generally lead to models with a smaller state space. A computer marking concept is introduced that allows a considerable reduction of the number of states and induces a correct grouping of states in the Markov-domain SHLPN models of multiprocessor systems. The main advantage of modeling homogeneous systems using SHLPNs is that the resulting models are simpler and more intuitive and have a smaller number of states, as shown by examples

Published in:

IEEE Transactions on Computers  (Volume:37 ,  Issue: 7 )