Markov regenerative models
Publication
, Journal Article
Logothetis, D; Trivedi, KS; Puliafito, A
Published in: Proceedings - International Computer Performance and Dependability Symposium
January 1, 1995
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.
Duke Scholars
Published In
Proceedings - International Computer Performance and Dependability Symposium
Publication Date
January 1, 1995
Start / End Page
134 / 142
Citation
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Logothetis, D., Trivedi, K. S., & Puliafito, A. (1995). Markov regenerative models. Proceedings - International Computer Performance and Dependability Symposium, 134–142.
Logothetis, D., K. S. Trivedi, and A. Puliafito. “Markov regenerative models.” Proceedings - International Computer Performance and Dependability Symposium, January 1, 1995, 134–42.
Logothetis D, Trivedi KS, Puliafito A. Markov regenerative models. Proceedings - International Computer Performance and Dependability Symposium. 1995 Jan 1;134–42.
Logothetis, D., et al. “Markov regenerative models.” Proceedings - International Computer Performance and Dependability Symposium, Jan. 1995, pp. 134–42.
Logothetis D, Trivedi KS, Puliafito A. Markov regenerative models. Proceedings - International Computer Performance and Dependability Symposium. 1995 Jan 1;134–142.
Published In
Proceedings - International Computer Performance and Dependability Symposium
Publication Date
January 1, 1995
Start / End Page
134 / 142