Data Traffic Monitoring and Analysis
From Measurement, Classification, and Anomaly Detection to Quality of Experience
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Author
Contributions
- Callegari, Christian - Contributor
- Matijasevic, Maja - Contributor
- SpringerLink (Online service) - Contributor
Publication
2013 - Imprint: Springer, Berlin, Heidelberg, Germany
Language
English
Word Count
89,750 words, Guess
Page Count
359 pages
Physical Format
Electronic resource
Identifiers
- Internet Archivedatatrafficmonit00garc
- ISBN-139783642367847
- ISBN-103642367844
- Better World Books9783642367847
- Open LibraryOL27029453M
Classifications
- DDC004.6
- LCCTK5105.5-5105.9
- LCCQA75.5-76.95
Description
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.
Subjects
Series Statement
- Lecture Notes in Computer Science -- 7754
Other Editions
- Data Traffic Monitoring and Analysis: From Measurement, Classification, and Anomaly Detection to Quality of Experience
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