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장태무,전서현,유찬형 東國大學校 1989 論文集 Vol.28 No.-
In the present paper, a new concept called conditional are is added to tranditional GSPN(Generalized Stochastic Petri net) of which effectiveness is proved through an application to an instruction pipeline of general-purpose CPU. The problem in applying Petri nets including GSPN to performance evaluation of computer systems is that the number of nodes of reachability graph increases exponentially with the number of places in the model. Conditional ares proposed in this paper are shown to be a good tool not only for reducing the number of places in the model, but making the task of model construction easy.