NDLI: A characterization of the stochastic process underlying a stochastic Petri net

Content Provider	IEEE Xplore Digital Library
Author	Ciardo, G. German, R. Lindemann, C.
Copyright Year	1976
Abstract	Stochastic Petri nets (SPN's) with generally distributed firing times can model a large class of systems, but simulation is the only feasible approach for their solution. We explore a hierarchy of SPN classes where modeling power is reduced in exchange for an increasingly efficient solution. Generalized stochastic Petri nets (GSPN's), deterministic and stochastic Petri nets (DSPN's), semi-Markovian stochastic Petri nets (SM-SPN's), timed Petri nets (TPN's), and generalized timed Petri nets (GTPN's) are particular entries in our hierarchy. Additional classes of SPN's for which we show how to compute an analytical solution are obtained by the method of the embedded Markov chain (DSPN's are just one example in this class) and state discretization, which we apply not only to the continuous-time case (PH-type distributions), but also to the discrete case.<>
Sponsorship	IEEE Computer Society Technical Council on Software Engineering Association for Computing Machinery (ACM) IEEE Computer Society
Starting Page	506
Ending Page	515
Page Count	10
File Size	1023636
File Format	PDF
ISSN	00985589
Volume Number	20
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Petri nets Stochastic systems Power system modeling Embedded computing Markov processes Delay Steady-state Fires Distributed computing
Content Type	Text
Resource Type	Article
Subject	Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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