Approximate Mean Value Analysis for Stochastic Marked Graphs

An iterative technique for the computation of approximate performance indices of a class of stochastic Petri nets models is presented. The proposed technique is derived from the Mean Value Analysis algorithm for product form solution stochastic Petri nets. In this paper we apply the approximation technique to stochastic marked graphs. In principle, the proposed technique can be used for other stochastic Petri net sub--classes, in the paper some of these possible applications are presented. Several examples are presented in order to validate the approximate results.