Network Tomography

Identifiability, Measurement Design, and Network State Inference

Ting He, Liang Ma, Ananthram Swami, Don Towsley

Cambridge University Press
Publication date : 2021-05-27

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Providing the first truly comprehensive overview of Network Tomography - a novel network monitoring approach that makes use of inference techniques to reconstruct the internal network state from external vantage points - this rigorous yet accessible treatment of the fundamental theory and algorithms of network tomography covers the most prominent results demonstrated on real-world data, including identifiability conditions, measurement design algorithms, and network state inference algorithms, alongside practical tools for applying these techniques to real-world network management. It describes the main types of mathematical problems, along with their solutions and properties, and emphasizes the actions that can be taken to improve the accuracy of network tomography. With proofs and derivations introduced in an accessible language for easy understanding, this is an essential resource for professional engineers, academic researchers, and graduate students in network management and network science.

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About the book

Author

Ting He , Liang Ma , Ananthram Swami , Don Towsley

Imprint

Cambridge University Press

Collection

n.c

Publication date

2021-05-27

Pages

n.c

Print ISBN

9781108421485

Language

English

Ebook informations

EAN PDF

9781108383783

Price

£86.51

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Print count 0

File size 12104 Ko

Informations accessibility

EAN EPUB

9781108381864

Price

£86.51

Copy count 0

Print count 0

File size 5816 Ko

Informations accessibility

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About author(s)

Ting He

Liang Ma

Ananthram Swami

Don Towsley

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