DocumentCode
1237769
Title
Discrete Time Stochastic Petri Nets
Author
Molloy, Michael K.
Author_Institution
Department of Computer Science, University of Texas at Austin
Issue
4
fYear
1985
fDate
4/1/1985 12:00:00 AM
Firstpage
417
Lastpage
423
Abstract
Basic graph models of processes, such as Petri nets, have usually omitted the concept of time as a parameter. Time has been added to the Petri net model in two ways. The timed Petri net (TPN) uses a fixed number of discrete time intervals. The stochastic Petri net (SPN) uses an exponentially distributed random variable. In this paper, a discrete time stochastic Petri model is described. These discrete time SPN´s fill the gap between TPN and normal SPN. However, the use of discrete time complicates the SPN model in that more than one transition may fire at a time step. Finally, an example of a live and bounded Petri net which has nonempty, disjoint, recurrent subsets of markings is given.
Keywords
Markovian processes; Petri nets; performance; stochastic models; Delay; Fires; Performance analysis; Petri nets; Power system modeling; Protocols; Random variables; Stochastic processes; System recovery; Timing; Markovian processes; Petri nets; performance; stochastic models;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/TSE.1985.232230
Filename
1702023
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