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Traffic Monitoring and Analysis

Second International Workshop, TMA 2010, Zurich, Switzerland, April 7, 2010. Proceedings

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Fabio Ricciato

    1. Università del Salento, Lecce, Italy, and FTW Forschungszentrum Telekommunikation, Vienna, Austria

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  2. Marco Mellia

    1. Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy

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  3. Ernst Biersack

    1. Institut EURECOM, Sophia Antipolis, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6003)

Part of the book sub series: Computer Communication Networks and Telecommunications (LNCCN)

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Conference proceedings info: TMA 2010.

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Table of contents (14 papers)

  1. Front Matter

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  2. Analysis of Internet Datasets

    1. Understanding and Preparing for DNS Evolution

      • Sebastian Castro, Min Zhang, Wolfgang John, Duane Wessels, Kimberly Claffy
      Pages 1-16

    2. Characterizing Traffic Flows Originating from Large-Scale Video Sharing Services

      • Tatsuya Mori, Ryoichi Kawahara, Haruhisa Hasegawa, Shinsuke Shimogawa
      Pages 17-31

    3. Mixing Biases: Structural Changes in the AS Topology Evolution

      • Hamed Haddadi, Damien Fay, Steve Uhlig, Andrew Moore, Richard Mortier, Almerima Jamakovic
      Pages 32-45

  3. Tools for Traffic Analysis and Monitoring

    1. EmPath: Tool to Emulate Packet Transfer Characteristics in IP Network

      • Jaroslaw Sliwinski, Andrzej Beben, Piotr Krawiec
      Pages 46-58

    2. A Database of Anomalous Traffic for Assessing Profile Based IDS

      • Philippe Owezarski
      Pages 59-72

    3. Collection and Exploration of Large Data Monitoring Sets Using Bitmap Databases

      • Luca Deri, Valeria Lorenzetti, Steve Mortimer
      Pages 73-86

    4. DeSRTO: An Effective Algorithm for SRTO Detection in TCP Connections

      • Antonio Barbuzzi, Gennaro Boggia, Luigi Alfredo Grieco
      Pages 87-100

  4. Traffic Classification

    1. Uncovering Relations between Traffic Classifiers and Anomaly Detectors via Graph Theory

      • Romain Fontugne, Pierre Borgnat, Patrice Abry, Kensuke Fukuda
      Pages 101-114

    2. Kiss to Abacus: A Comparison of P2P-TV Traffic Classifiers

      • Alessandro Finamore, Michela Meo, Dario Rossi, Silvio Valenti
      Pages 115-126

    3. TCP Traffic Classification Using Markov Models

      • Gerhard Münz, Hui Dai, Lothar Braun, Georg Carle
      Pages 127-140

    4. K-Dimensional Trees for Continuous Traffic Classification

      • Valentín Carela-Español, Pere Barlet-Ros, Marc Solé-Simó, Alberto Dainotti, Walter de Donato, Antonio Pescapé
      Pages 141-154

  5. Performance Measurements

    1. Validation and Improvement of the Lossy Difference Aggregator to Measure Packet Delays

      • Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Josep Solé-Pareta
      Pages 155-170

    2. End-to-End Available Bandwidth Estimation Tools, An Experimental Comparison

      • Emanuele Goldoni, Marco Schivi
      Pages 171-182

    3. On the Use of TCP Passive Measurements for Anomaly Detection: A Case Study from an Operational 3G Network

      • Peter Romirer-Maierhofer, Angelo Coluccia, Tobias Witek
      Pages 183-197

  6. Back Matter

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Other volumes

  1. Traffic Monitoring and Analysis

Keywords

About this book

The Second International Workshop on Traffic Monitoring and Analysis (TMA 2010) was an initiative of the COST Action IC0703 "Data Traffic Monitoring and Analysis: Theory, Techniques, Tools and Applications for the Future Networks" (http:// www.tma-portal.eu/cost-tma-action). The COST program is an intergovernmental framework for European cooperation in science and technology, promoting the coordination of nationally funded research on a European level. Each COST Action aims at reducing the fragmentation in - search and opening the European research area to cooperation worldwide. Traffic monitoring and analysis (TMA) is nowadays an important research topic within the field of computer networks. It involves many research groups worldwide that are collectively advancing our understanding of the Internet. The importance of TMA research is motivated by the fact that modern packet n- works are highly complex and ever-evolving objects. Understanding, developing and managing such environments is difficult and expensive in practice. Traffic monitoring is a key methodology for understanding telecommunication technology and improving its operation, and the recent advances in this field suggest that evolved TMA-based techniques can play a key role in the operation of real networks.

Editors and Affiliations

  • Università del Salento, Lecce, Italy, and FTW Forschungszentrum Telekommunikation, Vienna, Austria

    Fabio Ricciato

  • Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy

    Marco Mellia

  • Institut EURECOM, Sophia Antipolis, France

    Ernst Biersack

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