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