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:
| Beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Schlagwörter: | |
| Links: | https://doi.org/10.1017/9781108377119 https://doi.org/10.1017/9781108377119 https://doi.org/10.1017/9781108377119 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 28 May 2021) Preliminaries -- Fundamental conditions for additive network tomography -- Monitor placement for additive network tomography -- Measurement path construction for additive network tomography -- Fundamental conditions for Boolean network tomography -- Measurement design for Boolean network tomography -- Stochastic network tomography using unicast measurements -- Stochastic network tomography using multicast measurements -- Other applications and miscellaneous techniques |
| Umfang: | 1 Online-Ressource (xi, 231 Seiten) |
| ISBN: | 9781108377119 |
| DOI: | 10.1017/9781108377119 |
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| 520 | |a 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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| id | DE-604.BV047341967 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:16:47Z |
| institution | BVB |
| isbn | 9781108377119 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032744344 |
| oclc_num | 1257817645 |
| open_access_boolean | |
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| owner_facet | DE-12 DE-92 DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xi, 231 Seiten) |
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| publishDate | 2021 |
| publishDateSearch | 2021 |
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| publisher | Cambridge University Press |
| record_format | marc |
| spellingShingle | He, Ting ca. 20./21. Jh Ma, Liang ca. 20./21. Jh Towsley, Don Swami, Ananthram ca. 20./21. Jh Network tomography identifiability, measurement design, and network state inference Computer networks / Monitoring |
| 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 |
| topic | Computer networks / Monitoring |
| topic_facet | Computer networks / Monitoring |
| url | https://doi.org/10.1017/9781108377119 |
| work_keys_str_mv | AT heting networktomographyidentifiabilitymeasurementdesignandnetworkstateinference AT maliang networktomographyidentifiabilitymeasurementdesignandnetworkstateinference AT towsleydon networktomographyidentifiabilitymeasurementdesignandnetworkstateinference AT swamiananthram networktomographyidentifiabilitymeasurementdesignandnetworkstateinference |