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
Link To Document :
بازگشت