HoBBIT: A Platform for Monitoring Broadband Performance from the User Network

  • Walter de Donato
  • Alessio Botta
  • Antonio Pescapé
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8406)


In the last years the problem of measuring and monitoring broadband performance has attracted a lot of attention. In this paper we present our recent work in this area, providing the following main contributions: firstly, we analyze the literature, illustrating the different existing approaches and the main requirements of platforms implementing these approaches; secondly, we describe the lessons learned designing and implementing a platform called HoBBIT; thirdly, we analyze and share the results obtained from the current deployment in Italy. The lessons learned and the design guidelines of the platform can be of help in light of the recent research and standardization efforts in this area. The results and the dataset we shared with the community provide information on the current status of broadband in Italy and allow other researchers to access fresh measurements from a real and large scale deployment.


Packet Loss User Network Access Link Internet Measurement Advertise Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
  2. 2.
    Flamm, K., Friedlander, A., Horrigan, J., Lehr, W.: Measuring broadband: Improving communications policymaking through better data collection. Pew Internet & American Life Project (2007)Google Scholar
  3. 3.
    Cho, K., Fukuda, K., Esaki, H., Kato, A.: The impact and implications of the growth in residential user-to-user traffic. In: ACM SIGCOM (2006)Google Scholar
  4. 4.
    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)CrossRefGoogle Scholar
  5. 5.
    Maier, G., et al.: On dominant characteristics of residential broadband internet traffic. In: ACM Internet Measurement Conference (2009)Google Scholar
  6. 6.
    Dischinger, M., Haeberlen, A., Gummadi, K.P., Saroiu, S.: Characterizing residential broadband networks. In: Proc. ACM SIGCOMM Internet Measurement Conference, San Diego, CA, USA (October 2007)Google Scholar
  7. 7.
    Croce, D., En-Najjary, T., Urvoy-Keller, G., Biersack, E.: Capacity estimation of adsl links. In: CoNEXT (2008)Google Scholar
  8. 8.
  9. 9.
    Sundaresan, S., de Donato, W., Feamster, N., Teixeira, R., Crawford, S., Pescapè, A.: Measuring home broadband performance. Communications of the ACM 55(11), 100–109 (2012)CrossRefGoogle Scholar
  10. 10.
    Grenouille: Grenouille,
  11. 11.
    Han, D., et al.: Mark-and-sweep: Getting the inside scoop on neighborhood networks. In: Proc. Internet Measurement Conference, Vouliagmeni, Greece (October 2008)Google Scholar
  12. 12.
    Bernardi, G., Marina, M.K.: Bsense: a system for enabling automated broadband census: short paper. In: Proc. of the 4th ACM Workshop on Networked Systems for Developing Regions, NSDR 2010 (2010)Google Scholar
  13. 13.
  14. 14.
  15. 15.
    Joumblatt, D., et al.: Characterizing end-host application performance across multiple networking environments. In: 2012 Proceedings of IEEE INFOCOM, pp. 2536–2540. IEEE (2012)Google Scholar
  16. 16.,
  17. 17.
    Kreibich, C., Weaver, N., Nechaev, B., Paxson, V.: Netalyzr: Illuminating the edge network. In: Proc. Internet Measurement Conference, Melbourne, Australia (November 2010)Google Scholar
  18. 18.
    Glasnost: Bringing Transparency to the Internet,
  19. 19.
    de Donato, W.: Large scale benchmarking of broadband access networks: Issues, methodologies, and solutions. PhD dissertation, University of Napoli Federico II (2011)Google Scholar
  20. 20.
    Lee, J.-S., Hoh, B.: Dynamic pricing incentive for participatory sensing. Pervasive and Mobile Computing 6(6) (2010)Google Scholar
  21. 21.
    Choffnes, D.R., Bustamante, F.E., Ge, Z.: Crowdsourcing service-level network event monitoring. ACM SIGCOMM Computer Communication Review 40(4), 387–398 (2010)CrossRefGoogle Scholar
  22. 22.
    Botta, A., Dainotti, A., Pescapé, A.: A tool for the generation of realistic network workload for emerging networking scenarios. Computer Networks 56(15), 3531–3547 (2012)CrossRefGoogle Scholar
  23. 23.
    Aceto, G., et al.: User-side approach for censorship detection: home-router and client-based platforms, Connaught Summer Institute on Monitoring Internet Openness and Rights, University of Toronto (2013)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Walter de Donato
    • 1
  • Alessio Botta
    • 1
  • Antonio Pescapé
    • 1
  1. 1.University of Napoli Federico IIItaly

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