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dc.contributor.author Yao, Zhonghui en_US
dc.date.accessioned 2007-05-15T15:29:26Z
dc.date.available 2007-05-15T15:29:26Z
dc.date.issued 1997-02-01T00:00:00Z en_US
dc.identifier.uri http://hdl.handle.net/1993/1118
dc.description.abstract ATM traffic modeling is a rapidly developing research area. In order to test and evaluate the performance of ATM networ s and switches, modeling stochastic processes with various distributions is required. Cellular Automaton (CA) can produce effective pseudo-random bit streams since there is little correlation among CA cells and can effectively generate random patterns which have good randomness characteristics. OPtimized Network Engineering Tool (OPNET) provides a comprehensive development environment supporting the modeling of communication protocols, networks and distributed systems. Both behavior and performance of modeled systems can be analyzed by performing discrete event simulations. OPNET provides an opportunity to examine the higher level and more complex behavior of ATM networks. In this thesis, OPNET is used to model ATM networks; the modeled ATM networks are used to investigate congestion and OPNET limitation; and CA is used for generating random distributions for ATM traffic. The significance and contributions of this thesis are: (1) making the first step to use CA to generate traffic distributions; (2) designing a model of a real network; and (3) proving that OPNET is a suitable tool for modeling and simulation of ATM networks, and three factors: imbalance traffic load, insufficient buffer size and bursty traffic, can cause congestion. (Abstract shortened by UMI.) en_US
dc.format.extent 5084947 bytes
dc.format.extent 184 bytes
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language en en_US
dc.language.iso en_US
dc.rights info:eu-repo/semantics/openAccess
dc.title ATM network models for traffic management en_US
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Electrical and Computer Engineering en_US
dc.degree.level Master of Science (M.Sc.) en_US


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