Title page for ETD etd-04302002-092355


Type of Document Master's Thesis
Author Minton, Carl Edward
Author's Email Address cminton@ieee.org
URN etd-04302002-092355
Title Modeling and Estimation Techniques for Wide-Area Network Traffic with Atypical Components
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Midkiff, Scott F. Committee Chair
Davis, Nathaniel J. IV Committee Member
Jacobs, Ira Committee Member
Keywords
  • contamination detection
  • multimodal estimation
  • atypical network traffic
Date of Defense 2002-04-25
Availability unrestricted
Abstract
A critical first step to improving existing and designing future wide-area networks is an understanding of the load placed on these networks. Efforts to model traffic are often confounded by atypical traffic - traffic particular to the observation site not ubiquitously applicable. The causes and characteristics of atypical traffic are explored in this thesis. Atypical traffic is found to interfere with parsimonious analytic traffic models. A detection and modeling technique is presented and studied for atypical traffic characterized by strongly clustered inliers. This technique is found to be effective using both real-world observations and simulated data.

Another form of atypical traffic is shown to result in multimodal distributions of connection statistics. Putative methods for bimodal estimation are reviewed and a novel technique, the midpoint-distance profile, is presented. The performance of these estimation techniques is studied via simulation and the methods are examined in the context of atypical network traffic. The advantages and disadvantages of each method are reported.

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