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Automated time scale decomposition and analysis of stochastic Petri nets

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2 Author(s)
Blakemore, A. ; Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA ; Tripathi, S.K.

The automated application of time-scale decomposition to stochastic Petri nets is studied. Time-scale decomposition exploits the tendency of a system to approach a short-term equilibrium between relatively rare events and has been extensively studied in the context of Markov chains and queuing networks. Previous approaches for applying time-scale decomposition to SPN models relied heavily upon human insight in ways what hampered algorithmic implementation. A simple and effective method for specifying the time-scale decomposition of a SPN is presented, and solution techniques that take advantage of structural information from the SPN are described

Published in:

Petri Nets and Performance Models, 1993. Proceedings., 5th International Workshop on

Date of Conference:

19-22 Oct 1993