Data Traffic Monitoring and Analysis
From Measurement, Classification, and Anomaly Detection to Quality of Experience
Editors: Biersack, Ernst, Callegari, Christian, Matijasevic, Maja (Eds.)
Free Preview- 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
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- About this book
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This book was prepared as the Final Publication of COST Action IC0703 "Data Traffic Monitoring and Analysis: theory, techniques, tools and applications for the future networks". It contains 14 chapters which demonstrate the results, quality,and the impact of European research in the field of TMA in line with the scientific objective of the Action. The book is structured into three parts: network and topology measurement and modelling, traffic classification and anomaly detection, quality of experience.
- Table of contents (14 chapters)
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High-Performance Network Traffic Processing Systems Using Commodity Hardware
Pages 3-27
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Active Techniques for Available Bandwidth Estimation: Comparison and Application
Pages 28-43
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Internet Topology Discovery
Pages 44-81
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Internet PoP Level Maps
Pages 82-103
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Analysis of Packet Transmission Processes in Peer-to-Peer Networks by Statistical Inference Methods
Pages 104-119
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Table of contents (14 chapters)
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Bibliographic Information
- 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
- Computer Communication Networks and Telecommunications
- Series Volume
- 7754
- Copyright
- 2013
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-36784-7
- DOI
- 10.1007/978-3-642-36784-7
- Softcover ISBN
- 978-3-642-36783-0
- Edition Number
- 1
- Number of Pages
- XVI, 359
- Number of Illustrations
- 121 b/w illustrations
- Topics
