Modern computer networks pose a great challenge for monitoring the network performance due
to their large scale and high complexity. Directly measuring the performance of internal network
elements is prohibitive due to the tremendous overhead. Alternatively, network tomography, a
technique that infers the unobserved network characteristics (e.g., link delays) from a small number
of measurements (e.g., end-to-end path delays), is a promising solution for monitoring the internal
network state in an e cient and e ective manner. This thesis initiates two variants of network
tomography: concentrated network tomography and bound-based network tomography. The former
is motivated by the practical needs that network operators normally concentrate on the performance
of critical paths; the latter is due to the need of estimating performance bounds whenever exact
performance values cannot be determined.
This thesis tackles core technical di culties in concentrated network tomography and bound-
based network tomography, including (1) the path identi ability problem and the monitor deploy-
ment strategy for identifying a set of target paths, (2) strategies for controlling the total error bound
as well as the maximum error bound over all network links, and (3) methods of constructing measure-
ment paths to obtain the tightest total error bound. We evaluate all the solutions with real-world
Internet service provider (ISP) networks. The theoretical results and the algorithms developed in
this thesis are directly applicable to network performance management in various types of networks,
where directly measuring all links is practically impossible. / Graduate
| Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/12133 |
| Date | 17 September 2020 |
| Creators | Feng, Cuiying |
| Contributors | Wu, Kui |
| Source Sets | University of Victoria |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
| Rights | Available to the World Wide Web |
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