Data Traffic Monitoring and Analysis - From Measurement, Classification, and Anomaly Detection to Quality of Experience (CROSBI ID 10310)
Urednička knjiga | monografija (znanstvena)
Podaci o odgovornosti
Biersack, Ernst ; Callegari, Christian ; Matijašević, Maja
engleski
Data Traffic Monitoring and Analysis - From Measurement, Classification, and Anomaly Detection to Quality of Experience
Data Traffic Monitoring and Analysis From Measurement, Classification, and Anomaly Detection to Quality of Experience * 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 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.
data traffic; network traffic; traffic monitoring; quality; QoS; QoE; bandwidth estimation; future Internet; peer-to-peer networks; social Web
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Podaci o izdanju
Heidelberg: Springer
2013.
978-3-642-36783-0
359
Lecture Notes in Computer Science; vol. 7754
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