First Conference on Fault - Tolerant Systems , IIT Madras , Dec 1995 Combined Preemption Policies in MRSPN
نویسنده
چکیده
Markov Regenerative Stochastic Petri Nets (MRSPN) have been recently recognized as a valuable tool to model systems with non-exponential timed activities. Some restrictive assumptions should be speci ed in order to arrive to analytically and numerically computable models. The usual assumption is that at most a single non-exponential transition, with associated enabling memory policy, can be enabled in each marking. More recently, new preemption policies have been studied, and closed-form solutions in the Laplace transform domain have been provided. This paper illustrates how to activate di erent preemption policies in MRSPN.
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