A component-based solution for reducible Markov regenerative processes
Performance Evaluation
Backward Solution of Markov Chains and Markov Regenerative Processes: Formalization and Applications
Electronic Notes in Theoretical Computer Science (ENTCS)
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Generalized and Deterministic Stochastic Petri Nets (GSPN and DSPN) and their relative solvers have been around for a while. In the last years research on GSPN solution has mainly concentrated on efficient data structure for state space representation, while little has been published on DSPN. Strangely enough although, the DSPN solvers available do still exhibit a number of limitations, most notably that no steady state solver is available for non-ergodic DSPNs. This demo tool presentation introduces the new DSPN solver that was developed, and which has been inserted in GreatSPN. With the occasion also a new GSPN solver has been added, which allows for more flexibility in the net definition, and an easier integration with other tools.