| 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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etd.pdf |
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