| Abstract |
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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 fold: it can handle concurrent, asynchronous, nondeterministic and stochastic events; and 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. We show how to apply the SHLPN techniques in modeling and analyzing various ATM mechanisms such as: bursty traffic source and traffic rate control.
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 Additional Information
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Index Terms- asynchronous transfer mode; stochastic high level Petri net; stochastic events; ATM traffic control modeling; submodels; concurrent events; asynchronous events; nondeterministic events; performance analysis; state space explosion problem; reduction method; ATM networks; bursty traffic source; traffic rate control; multimedia traffic; token condensing
Citation:
Chang Lin, Bo Li, Jianping Wu,
"Modeling ATM traffic using stochastic Petri net,"
icccn,
p. 538,
Sixth International Conference on Computer Communications and Networks (ICCCN '97),
1997
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