Overview
- High quality selected papers covering various aspects of data traffic monitoring and analysis in modern telecommunication networks
- Contains chapters presenting the state of the art in high-performance traffic processing and network mapping; traffic classification and network anomaly detection
- Aimed at researchers as well as practitioners, standard developers and policy makers
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7754)
Part of the book sub series: Computer Communication Networks and Telecommunications (LNCCN)
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Table of contents (14 chapters)
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Network Measurement
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Traffic Classification and Anomaly Detection
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Quality of Experience
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Data Traffic Monitoring and Analysis
Book Subtitle: From Measurement, Classification, and Anomaly Detection to Quality of Experience
Editors: Ernst Biersack, Christian Callegari, Maja Matijasevic
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-36784-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-36783-0Published: 21 March 2013
eBook ISBN: 978-3-642-36784-7Published: 02 March 2013
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 359
Number of Illustrations: 121 b/w illustrations
Topics: Computer Communication Networks, System Performance and Evaluation, Information Systems Applications (incl. Internet)