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Permanent link (DOI): https://doi.org/10.7939/R3571800H

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Network Topology Inference with End-to-End Unicast Measurements Open Access

Descriptions

Other title
Subject/Keyword
Network Topology
Network Tomography
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Malekzadeh, Amir
Supervisor and department
MacGregor, Mike H (Computing Science)
Examining committee member and department
Tellambura, Chintha (Electrical and Computer Engineering)
Harms, Janelle (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2013-08-26T14:07:30Z
Graduation date
2013-11
Degree
Master of Science
Degree level
Master's
Abstract
Network tomography is the problem of discovering the delay and loss rate of the internal links of a network, assuming the internal nodes are not cooperating. The first step to solving this problem is finding network topology. Well-known tools such as traceroute solve this problem, however they depend on cooperation by the internal nodes. This thesis studies the problem of topology identification without relying on the cooperation of the internal nodes of the network. Our work is based on a probing method called the sandwich method. We suggest a novel probing scheme called TSP which is based on end-to-end unicast delay measurements and combines the ideas of sandwich and traceroute. We also develop two topology inference algorithm to find the topology of the network. One of the algorithms uses sandwich data and the other uses TSP. Our simulation-based experiments show that TSP improves the topology identification process substantially compared to previous methods.
Language
English
DOI
doi:10.7939/R3571800H
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
A. Malekzadeh, M.H. MacGregor, "Network Topology Inference from End-to-End Unicast Measurements". In Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on (pp. 1101-1106). IEEE. March 2013

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