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Modeling ATM systems with GSPNs and SWNs.

Ajmone Marsan, M.; Gaeta, R.

In: Performance Evaluation Review, Vol. 26, No. 2, pages 28-37. 1998.

Abstract: This paper overviews the work of the authors in the field of modeling and analysis of asynchronous transfer mode (ATM) networks using generalized stochastic Petri nets (GSPNs) and a special class of high-level stochastic Petri nets known as stochastic well-formed nets (SWNs). These formalisms are first shown to be adequate tools for the development of models of ATM systems, provided that only one timed transition is used, together with many immediate transitions. The only timed transition in the GSPN and SWN models represents the ATM system cell time, while immediate transitions implement the ATM system behavior. The firing time distribution of the only timed transition is irrelevant for the computation of several interesting performance indices. The results, as well as the problems, derived from the analysis of ATM switches and local area networks (LANs) that adopt the available bit rate (ABR) service category are summarized and discussed, providing references to publications containing technical details.

Keywords: ATM networks, Gauss switch, knockout switch, stochastic Petri nets, well-formed Petri nets.

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