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International Conference on Research in Networking

NETWORKING 2012: NETWORKING 2012 pp 111–123Cite as

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Towards a Statistical Characterization of the Interdomain Traffic Matrix

Towards a Statistical Characterization of the Interdomain Traffic Matrix

  • Jakub Mikians20,
  • Amogh Dhamdhere21,
  • Constantine Dovrolis22,
  • Pere Barlet-Ros20 &
  • …
  • Josep Solé-Pareta20 
  • Conference paper
  • 1025 Accesses

  • 6 Citations

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 7290)

Abstract

Identifying the statistical properties of the Interdomain Traffic Matrix (ITM) is fundamental for Internet techno-economic studies but challenging due to the lack of adequate traffic data. In this work, we utilize a Europe-wide measurement infrastructure deployed at the GÉANT backbone network to examine some important spatial properties of the ITM. In particular, we analyze its sparsity and characterize the distribution of traffic generated by different ASes. Our study reveals that the ITM is sparse and that the traffic sent by an AS can be modeled as the LogNormal or Pareto distribution, depending on whether the corresponding traffic experiences congestion or not. Finally, we show that there exist significant correlations between different ASes mostly due to relatively few highly popular prefixes.

Keywords

  • Internet
  • interdomain traffic
  • measurements

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Author information

Authors and Affiliations

  1. UPC BarcelonaTech, Spain

    Jakub Mikians, Pere Barlet-Ros & Josep Solé-Pareta

  2. CAIDA, USA

    Amogh Dhamdhere

  3. Georgia Tech, USA

    Constantine Dovrolis

Authors
  1. Jakub Mikians
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  2. Amogh Dhamdhere
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  3. Constantine Dovrolis
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  4. Pere Barlet-Ros
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  5. Josep Solé-Pareta
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Editor information

Editors and Affiliations

  1. Department of Telecommunications Engineering, Czech Technical University in Prague, Technicka 2, 166 27, Prague 6, Czech Republic

    Robert Bestak & Lukas Kencl & 

  2. Bell Labs, Alcatel-Lucent, 600 Mountain Avenue, 07974-0636, Murray Hill, NJ, USA

    Li Erran Li

  3. Instituto IMDEA Networks, Avenida del Mar Mediterraneo 22, 28918, Leganes (Madrid), Spain

    Joerg Widmer

  4. Tsinghua-ChinaCache Joint Laboratory, Tsinghua University, FIT 3-429, Haidian District, 100016, Beijing, China

    Hao Yin

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© 2012 IFIP International Federation for Information Processing

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Cite this paper

Mikians, J., Dhamdhere, A., Dovrolis, C., Barlet-Ros, P., Solé-Pareta, J. (2012). Towards a Statistical Characterization of the Interdomain Traffic Matrix. In: Bestak, R., Kencl, L., Li, L.E., Widmer, J., Yin, H. (eds) NETWORKING 2012. NETWORKING 2012. Lecture Notes in Computer Science, vol 7290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30054-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-30054-7_9

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  • Print ISBN: 978-3-642-30053-0

  • Online ISBN: 978-3-642-30054-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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