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6 - Measurement Design for Boolean Network Tomography

Published online by Cambridge University Press:  25 May 2021

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

Based on the identifiability measures for Boolean network tomography presented in Chapter 5, this chapter addresses the follow-up question of how to design the measurement system to optimize the identifiability measure of interest, with a focus on the placement of monitoring nodes.Depending on the mechanism to collect measurements, the problem is divided into (1) monitor placement, (2) beacon placement, and (3) monitoring-aware service placement, where the first approach requires monitoring nodes at both endpoints of each measurement path, the second approach requires a monitoring node only at one of the endpoints of each measurement path, and the third approach requires each measurement path to be the default routing path between a client and a server. As many of such problems are NP-hard, the focus is put on establishing the hardness of the optimal solution and developing polynomial-time suboptimal algorithms with performance guarantees. The chapter also covers a suite of path construction problems addressing how to construct or select measurement paths to optimize the tradeoff between identifiability and probing cost.

Type
Chapter
Information
Network Tomography
Identifiability, Measurement Design, and Network State Inference
, pp. 138 - 173
Publisher: Cambridge University Press
Print publication year: 2021

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