# On the Relevance of Long-Range Dependence in Network Trafficby M. Glossglauser and J. Bolot

#### 10/19/99

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### Table of Contents On the Relevance of Long-Range Dependence in Network Trafficby M. Glossglauser and J. Bolot Motivations A modulated fluid traffic model Special case:Truncated Pareto distribution Covariance Compute loss rate Numerical results (1) Loss rate as a function of buffer sizeand cutoff time Numerical results (2) Loss rate as a function of Hurstand marginal distribution Numerical results (3) Loss rate as a function of marginaldistribution and buffer size Conclusion from numerical experiments Conclusion of the paper | Author: Shudong Jin Email: jins@cs.bu.edu Home Page: http://www.cs.bu.edu/students/grads/jins/Home.html