Modeling ATM traffic using stochastic Petri Net

This paper describes a general framework for modeling and analyzing ATM traffic control using the Stochastic High Level Petri Net (SHLPN). The reasons SHLPN is chosen are two folded: It can handle concurrent, asynchronous, nondeterministic and stochastic events; It provides an intuitive yet efficient mechanism that can decompose a complex model into submodels. In addition, there exists a set of well-developed performance analysis techniques for SHLPN. In order to cope with the well known state space explosion problem, we proposed a novel reduction method which incorporates the bursty characteristic of ATM networks. In this paper we show how to apply the SHLPN techniques in modeling and analyzing of various ATM mechanisms such as: bursty traffic source and traffic rate control.