Abstract
The paper presents the current status of the software tool TimeNET. It supports modeling and performance evaluation of stochastic models, including extended deterministic and stochastic Petri nets, colored stochastic Petri nets, and Markov chains as well as UML extensions. Among its main characteristics are simulation and analysis modules for stationary and transient evaluation of Petri nets including non-exponentially distributed delays, as well as a simulation module for complex colored models. Recent enhancements include algorithms for the efficient rare-event simulation of Petri nets, a new multi-trajectory hybrid simulation/analysis algorithm, and a net class for Markov chains.
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CITATION STYLE
Zimmermann, A. (2017). Modelling and performance evaluation with TimeNET 4.4. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10503 LNCS, pp. 300–303). Springer Verlag. https://doi.org/10.1007/978-3-319-66335-7_19
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