Queueing analysis of network traffic: methodology and visualization tools

Authors:
David A. Rolls;George Michailidis;Felix Hernández-Campos
Affiliations:
Department of Mathematics and Statistics, University of North Carolina at Wilmington, Wilmington, NC;Department of Statistics, University of Michigan, Ann Arbor, MI;Department of Computer Science, University of North Carolina, Chapel Hill, NC
Venue:
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Year:
2005

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Abstract

In this paper we provide a framework for analyzing network traffic traces through trace-driven queueing. We also introduce several queueing metrics together with the associated visualization tools (some novel) that provide insight into the traffic features and facilitate comparisons between traces. Some techniques for non-stationary data are discussed. Applying our framework to both real and synthetic traces we (i) illustrate how to compare traces using trace-driven queueing, and (ii) show that traces that look "similar" under various statistical measures (such as the Hurst index) can exhibit rather different behavior under queueing simulation.