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On Profiling Residential Customers

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Traffic Monitoring and Analysis (TMA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 6613))

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Abstract

Some recent large scale studies on residential networks (ADSL and FTTH) have provided important insights concerning the set of applications used in such networks. For instance, it is now apparent that Web based traffic is dominating again at the expense of P2P traffic in lots of countries due to the surge of HTTP streaming and possibly social networks. In this paper we confront the analysis of the overall (high level) traffic characteristics of the residential network with the study of the users traffic profiles. We propose approaches to tackle those issues and illustrate them with traces from an ADSL platform. Our main findings are that even if P2P still dominates the first heavy hitters, the democratization of Web and Streaming traffic is the main cause of the come-back of HTTP. Moreover, the mixture of applications study highlights that these two classes (P2P vs. Web + Streaming) are almost never used simultaneously by our residential customers.

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References

  1. Antoniades, D., Markatos, E.P., Dovrolis, C.: One-click hosting services: a file-sharing hideout. In: IMC (2009)

    Google Scholar 

  2. Bernaille, L., Teixeira, R., Salamatian, K.: Early application identification. In: CoNEXT (2006)

    Google Scholar 

  3. Breslau, L., Cao, P., Fan, L., Phillips, G., Shenker, S.: Web caching and Zipf-like distributions: evidence and implications. In: INFOCOM (1999)

    Google Scholar 

  4. Cho, K.: Broadband Traffic Report. Internet Infrastructure Review 4, 18–23 (2009)

    Google Scholar 

  5. Cho, K., Fukuda, K., Esaki, H., Kato, A.: The impact and implications of the growth in residential user-to-user traffic. In: SIGCOMM (2006)

    Google Scholar 

  6. Erman, J., Gerber, A., Hajiaghayi, M.T., Pei, D., Spatscheck, O.: Network-aware forward caching. In: WWW (2009)

    Google Scholar 

  7. Feldmann, A., Greenberg, A., Lund, C., Reingold, N., Rexford, J., True, F.: Deriving traffic demands for operational IP networks: methodology and experience. IEEE/ACM Trans. Netw. 9(3), 265–280 (2001)

    Article  Google Scholar 

  8. Fessant, F., Lemaire, V., Clrot, F.: Combining Several SOM Approaches in Data Mining: Application to ADSL Customer Behaviours Analysis. In: Data Analysis, Machine Learning and Applications (2008)

    Google Scholar 

  9. Han, J.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann Publishers Inc., San Francisco (2006)

    MATH  Google Scholar 

  10. Karagiannis, T., Papagiannaki, K., Taft, N., Faloutsos, M.: Profiling the end host. In: Uhlig, S., Papagiannaki, K., Bonaventure, O. (eds.) PAM 2007. LNCS, vol. 4427, pp. 186–196. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  11. Maier, G., Feldmann, A., Paxson, V., Allman, M.: On dominant characteristics of residential broadband internet traffic. In: IMC (2009)

    Google Scholar 

  12. Pietrzyk, M., Costeux, J.-L., Urvoy-Keller, G., En-Najjary, T.: Challenging statistical classification for operational usage: the ADSL case. In: IMC (2009)

    Google Scholar 

  13. Pietrzyk, M., Urvoy-Keller, G., Costeux, J.-L.: Revealing the unknown ADSL traffic using statistical methods. In: COST (2009)

    Google Scholar 

  14. Plissonneau, L., En-Najjary, T., Urvoy-Keller, G.: Revisiting web traffic from a DSL provider perspective: the case of YouTube. In: ITC Specialist Seminar on Network Usage and Traffic (2008)

    Google Scholar 

  15. Siekkinen, M., Collange, D., Urvoy-Keller, G., Biersack, E.W.: Performance Limitations of ADSL Users: A Case Study. In: Uhlig, S., Papagiannaki, K., Bonaventure, O. (eds.) PAM 2007. LNCS, vol. 4427, pp. 145–154. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  16. Tanimoto, T.: An elementary mathematical theory of classification and prediction. In: IBM Program IBCLF (1959)

    Google Scholar 

  17. Vu-Brugier, G.: Analysis of the impact of early fiber access deployment on residential Internet traffic. In: ITC 21 (2009)

    Google Scholar 

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Pietrzyk, M., Plissonneau, L., Urvoy-Keller, G., En-Najjary, T. (2011). On Profiling Residential Customers. In: Domingo-Pascual, J., Shavitt, Y., Uhlig, S. (eds) Traffic Monitoring and Analysis. TMA 2011. Lecture Notes in Computer Science, vol 6613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20305-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-20305-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20304-6

  • Online ISBN: 978-3-642-20305-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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