Network tomography : (Record no. 84347)

000 -LEADER
fixed length control field 02883nam a2200373 i 4500
001 - CONTROL NUMBER
control field CR9781108377119
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730160824.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170420s2021||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781108377119 (ebook)
082 00 - CLASSIFICATION NUMBER
Call Number 004.6
100 1# - AUTHOR NAME
Author He, Ting
245 10 - TITLE STATEMENT
Title Network tomography :
Sub Title identifiability, measurement design, and network state inference /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (xi, 231 pages) :
500 ## - GENERAL NOTE
Remark 1 Title from publisher's bibliographic system (viewed on 28 May 2021).
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Monitoring.
700 1# - AUTHOR 2
Author 2 Ma, Liang
700 1# - AUTHOR 2
Author 2 Towsley, Don,
700 1# - AUTHOR 2
Author 2 Swami, Ananthram,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1017/9781108377119
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge :
-- Cambridge University Press,
-- 2021.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer networks

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