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Data Traffic Monitoring and Analysis

From Measurement, Classification, and Anomaly Detection to Quality of Experience

  • Book
  • © 2013

Overview

Editors:
  1. Ernst Biersack

    1. Networking and Security Department, Eurécom, Biot, France

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    You can also search for this editor in PubMed   Google Scholar

  2. Christian Callegari

    1. Department of Information Engineering, University of Pisa, Pisa, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Maja Matijasevic

    1. Facults of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

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  • 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)

  1. Front Matter

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  2. Network Measurement

    1. Front Matter

      Pages 1-1
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    2. High-Performance Network Traffic Processing Systems Using Commodity Hardware

      • José Luis García-Dorado, Felipe Mata, Javier Ramos, Pedro M. Santiago del Río, Victor Moreno, Javier Aracil
      Pages 3-27

    3. Active Techniques for Available Bandwidth Estimation: Comparison and Application

      • Alessio Botta, Alan Davy, Brian Meskill, Giuseppe Aceto
      Pages 28-43

    4. Internet Topology Discovery

      • Benoit Donnet
      Pages 44-81

    5. Internet PoP Level Maps

      • Yuval Shavitt, Noa Zilberman
      Pages 82-103

    6. Analysis of Packet Transmission Processes in Peer-to-Peer Networks by Statistical Inference Methods

      • Natalia M. Markovich, Udo R. Krieger
      Pages 104-119

  3. Traffic Classification and Anomaly Detection

    1. Front Matter

      Pages 121-121
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    2. Reviewing Traffic Classification

      • Silvio Valenti, Dario Rossi, Alberto Dainotti, Antonio Pescapè, Alessandro Finamore, Marco Mellia
      Pages 123-147

    3. A Methodological Overview on Anomaly Detection

      • Christian Callegari, Angelo Coluccia, Alessandro D’Alconzo, Wendy Ellens, Stefano Giordano, Michel Mandjes et al.
      Pages 148-183

    4. Changepoint Detection Techniques for VoIP Traffic

      • Michel Mandjes, Piotr Żuraniewski
      Pages 184-201

    5. Distribution-Based Anomaly Detection in Network Traffic

      • Angelo Coluccia, Alessandro D’Alconzo, Fabio Ricciato
      Pages 202-216

  4. Quality of Experience

    1. Front Matter

      Pages 217-217
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    2. From Packets to People: Quality of Experience as a New Measurement Challenge

      • Raimund Schatz, Tobias Hoßfeld, Lucjan Janowski, Sebastian Egger
      Pages 219-263

    3. Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience

      • Tobias Hoßfeld, Raimund Schatz, Ernst Biersack, Louis Plissonneau
      Pages 264-301

    4. Quality Evaluation in Peer-to-Peer IPTV Services

      • Mu Mu, William Knowles, Panagiotis Georgopoulos, Steven Simpson, Eduardo Cerqueira, Nicholas Race et al.
      Pages 302-319

    5. Cross-Layer FEC-Based Mechanism for Packet Loss Resilient Video Transmission

      • Roger Immich, Eduardo Cerqueira, Marilia Curado
      Pages 320-336

    6. Approaches for Utility-Based QoE-Driven Optimization of Network Resource Allocation for Multimedia Services

      • Lea Skorin-Kapov, Krunoslav Ivesic, Giorgos Aristomenopoulos, Symeon Papavassiliou
      Pages 337-358

  5. Back Matter

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Keywords

About this book

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.

Editors and Affiliations

  • Networking and Security Department, Eurécom, Biot, France

    Ernst Biersack

  • Department of Information Engineering, University of Pisa, Pisa, Italy

    Christian Callegari

  • Facults of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Maja Matijasevic

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