Data Traffic Monitoring and Analysis : From Measurement, Classification, and Anomaly Detection to Quality of Experience

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. High-Performance Network Traffic Processing Systems Using Commodity Hardware Active Techniques for Available Bandwidth Estimation: Comparison and Application Internet Topology Discovery Internet PoP Level Maps Analysis of Packet Transmission Processes in Peer-to-Peer Networks by Statistical Inference Methods Reviewing Traffic Classification A Methodological Overview on Anomaly Detection Changepoint Detection Techniques for VoIP Traffic Distribution-Based Anomaly Detection in Network Traffic From Packets to People: Quality of Experience as a New Measurement Challenge Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience Quality Evaluation in Peer-to-Peer IPTV Services Cross-Layer FEC-Based Mechanism for Packet Loss Resilient Video Transmission Approaches for Utility-Based QoE-Driven Optimization of Network Resource Allocation for Multimedia Services Active Techniques for Available Bandwidth Estimation: Comparison and Application Internet Topology Discovery Internet PoP Level Maps Analysis of Packet Transmission Processes in Peer-to-Peer Networks by Statistical Inference Methods Reviewing Traffic Classification A Methodological Overview on Anomaly Detection Changepoint Detection Techniques for VoIP Traffic Distribution-Based Anomaly Detection in Network Traffic From Packets to People: Quality of Experience as a New Measurement Challenge Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience Quality Evaluation in Peer-to-Peer IPTV Services Cross-Layer FEC-Based Mechanism for Packet Loss Resilient Video Transmission Approaches for Utility-Based QoE-Driven Optimization of Network Resource Allocation for Multimedia Services. Front Matter....Pages - Front Matter....Pages 1-1 High-Performance Network Traffic Processing Systems Using Commodity Hardware....Pages 3-27 Active Techniques for Available Bandwidth Estimation: Comparison and Application....Pages 28-43 Internet Topology Discovery....Pages 44-81 Internet PoP Level Maps....Pages 82-103 Analysis of Packet Transmission Processes in Peer-to-Peer Networks by Statistical Inference Methods....Pages 104-119 Front Matter....Pages 121-121 Reviewing Traffic Classification....Pages 123-147 A Methodological Overview on Anomaly Detection....Pages 148-183 Changepoint Detection Techniques for VoIP Traffic....Pages 184-201 Distribution-Based Anomaly Detection in Network Traffic....Pages 202-216 Front Matter....Pages 217-217 From Packets to People: Quality of Experience as a New Measurement Challenge....Pages 219-263 Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience....Pages 264-301 Quality Evaluation in Peer-to-Peer IPTV Services....Pages 302-319 Cross-Layer FEC-Based Mechanism for Packet Loss Resilient Video Transmission....Pages 320-336 Approaches for Utility-Based QoE-Driven Optimization of Network Resource Allocation for Multimedia Services....Pages 337-358 Back Matter....Pages - 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