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4 - Measurement Path Construction for Additive Network Tomography

Published online by Cambridge University Press:  25 May 2021

Ting He ,
Liang Ma ,
Ananthram Swami  and
Don Towsley
Ting He
Affiliation:
Pennsylvania State University
Liang Ma
Affiliation:
Dataminr, New York
Ananthram Swami
Affiliation:
CCDC Army Research Laboratory
Don Towsley
Affiliation:
University of Massachusetts, Amherst
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Summary

This chapter completes the topic of measurement design for additive network tomography, started in Chapter 3, by discussing how to construct suitable measurement paths to identify additive link metrics using a given set of monitors. As in Chapter 3, the focus is on the design of efficient path construction algorithms that make novel use of certain graph algorithms (specifically, algorithms for constructing independent spanning trees) to find a set of paths that form a basis of the link space without enumerating all possible paths. The chapter also discusses a variation of the path construction problem when the number of measurement paths is constrained and each measurement path may fail with certain probability.

Keywords

additive network tomographymeasurement path constructionindependent spanning treesrobust measurement path constructionsubmodular function maximization
Type
Chapter
Information
Network Tomography
Identifiability, Measurement Design, and Network State Inference
 , pp. 78 - 101
Publisher: Cambridge University Press
Print publication year: 2021

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