Fr. 136.00

Network Tomography - Identifiability, Measurement Design, and Network State Inference

Inglese · Copertina rigida

Spedizione di solito entro 3 a 5 settimane

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Informationen zum Autor Ting He is an Associate Professor in the School of Electrical Engineering and Computer Science at The Pennsylvania State University. She is a Senior Member of the IEEE. Liang Ma is a Research Scientist in the AI Group at Dataminr Inc. Ananthram Swami is the Senior Research Scientist for Network Science at the US Army's CCDC Army Research Laboratory. He is an ARL Fellow and a Fellow of the IEEE. Don Towsley is a Distinguished Professor of Computer Science at the University of Massachusetts, Amherst. He is a Fellow of the IEEE and ACM. Zusammenfassung Provides rigorous yet accessible coverage of the fundamental theory and algorithms, as well as tools for applying techniques. Covering identifiability conditions,  measurement design algorithms, and network state inference algorithms, it is an essential resource for professionals, researchers, and graduate students working in the field. Inhaltsverzeichnis Introduction; 1. Preliminaries; 2. Fundamental conditions for additive network tomography; 3. Monitor placement for additive network tomography; 4. Measurement path construction for additive network tomography; 5. Fundamental conditions for Boolean network tomography; 6. Measurement design for Boolean network tomography; 7. Stochastic network tomography using unicast measurements; 8. Stochastic network tomography using multicast measurements; 9. Other applications and miscellaneous techniques; Appendix datasets for evaluations; Index.

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