Stochastic Petri nets (SPNs) with general firing time distributions are considered. The generally timed transitions can have general execution policies: the preemption policy may be preemptive repeat different (prd) or preemptive resume (prs) and the firing time distribution can be marking-independent or marking-dependent through constant scaling factors. A stationary analysis method covering all possible combinations is presented by means of supplementary variables. The method is implemented in a prototype tool based on Mathematica. An example illustrates the analysis method and the use of the tool.
CITATION STYLE
German, R. (1998). Markov regenerative stochastic petri nets with general execution policies: Supplementary variable analysis and a prototype tool. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1469, pp. 255–266). Springer Verlag. https://doi.org/10.1007/3-540-68061-6_21
Mendeley helps you to discover research relevant for your work.