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• W1750781857 abstract "In this paper we first give an overview of the dierent approaches to time in Petri nets. If time is considered for performance analysis then we need also probability distributions for choices. So then we have Petri nets with time and stochastics. In literature most attention is paid to models where the time is connected to the transitions and for the stochastic case to continuous time models with exponential enabling distributions, none by its software tools as GSPN. Here we focuss on discrete models where the time is discrete and the probability distributions are discrete, because we believe that this model class has some advantages. We study the expressive power of dierent discrete models and we show how several approaches can be unified by transformations from one into the other, which is also useful for the application of software tools. We also consider timed automata and compare them with the Petri net models. We show how model checking methods can be applied for the non-stochastic case. We show when the tools for timed automata, UPPAAL, can be used for this purpose. For the stochastic case we show how Markov techniques can be used. We also consider structural analysis techniques, that do not need the state space, for the class of workflownets and we show how these techniques can be applied to reduce the computational eort." @default.
• W1750781857 created "2016-06-24" @default.
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• W1750781857 date "2013-01-01" @default.
• W1750781857 modified "2023-09-25" @default.
• W1750781857 title "Discrete timed Petri nets" @default.
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