DocumentCode :
2632296
Title :
Markov regenerative models
Author :
Logothetis, Dimitris ; Trivedi, Kishor S. ; Puliafito, Antonio
Author_Institution :
GTE Labs. Inc., Waltham, MA, USA
fYear :
1995
fDate :
24-26 Apr 1995
Firstpage :
134
Lastpage :
142
Abstract :
The Markov Regenerative Stochastic Process (MRGP) has been shown to capture the behavior of real systems with both deterministic and exponentially distributed event times. In this paper we survey the MRGP literature and focus on the different solution techniques that can be adopted for their transient analysis. We also discuss the automated generation of MRGPs from deterministic and stochastic Petri nets (DSPNs). Some examples are developed and solved to illustrate the modeling power of MRGPs and DSPNs
Keywords :
Markov processes; Petri nets; fault tolerant computing; reliability; DSPNs; Markov regenerative stochastic process; deterministic and stochastic Petri nets; distributed event times; Communication systems; Distributed computing; Laboratories; Performance analysis; Petri nets; Power system modeling; Power system reliability; Stochastic processes; Stochastic systems; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Performance and Dependability Symposium, 1995. Proceedings., International
Conference_Location :
Erlangen
Print_ISBN :
0-8186-7059-2
Type :
conf
DOI :
10.1109/IPDS.1995.395809
Filename :
395809
Link To Document :
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