Network tomography: identifiability, measurement design, and network state inference
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...
Gespeichert in:
| Beteilige Person: | |
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| Weitere beteiligte Personen: | , , |
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Links: | https://doi.org/10.1017/9781108377119 |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (xi, 231 Seiten) |
| ISBN: | 9781108377119 |
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| 700 | 1 | |a Swami, Ananthram | |
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| spelling | He, Ting Network tomography identifiability, measurement design, and network state inference Ting He, Liang Ma, Ananthram Swami, Don Towsley Cambridge Cambridge University Press 2021 1 Online-Ressource (xi, 231 Seiten) txt c cr 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. Ma, Liang Swami, Ananthram Towsley, Don Erscheint auch als Druck-Ausgabe 9781108421485 |
| spellingShingle | He, Ting Network tomography identifiability, measurement design, and network state inference |
| title | Network tomography identifiability, measurement design, and network state inference |
| title_auth | Network tomography identifiability, measurement design, and network state inference |
| title_exact_search | Network tomography identifiability, measurement design, and network state inference |
| title_full | Network tomography identifiability, measurement design, and network state inference Ting He, Liang Ma, Ananthram Swami, Don Towsley |
| title_fullStr | Network tomography identifiability, measurement design, and network state inference Ting He, Liang Ma, Ananthram Swami, Don Towsley |
| title_full_unstemmed | Network tomography identifiability, measurement design, and network state inference Ting He, Liang Ma, Ananthram Swami, Don Towsley |
| title_short | Network tomography |
| title_sort | network tomography identifiability measurement design and network state inference |
| title_sub | identifiability, measurement design, and network state inference |
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