Mesuré d'Internet à large echelle, longitudinale et sans biais

par Flavia Salutari

Projet de thèse en Réseaux, information et communications

Sous la direction de Dario Rossi et de Albert Bifet.

Thèses en préparation à Paris Saclay , dans le cadre de Sciences et Technologies de l'Information et de la Communication , en partenariat avec LTCI - Laboratoire de Traitement et Communication de l'Information (laboratoire) , RMS : Réseaux, Mobilité et Services (equipe de recherche) et de Télécom ParisTech (établissement de préparation de la thèse) depuis le 01-06-2018 .


  • Résumé

    See the english version. This PhD thesis will be carried on in an international context, hence the candidate must be fluent in english.

  • Titre traduit

    Longitudinal, large-scale and unbiased Internet infrastructural measurement


  • Résumé

    It is beyond any doubt that Internet is now a critical piece of the human infrastructure. It is also beyond any reasonable doubt that the Internet is as complex as useful: “The Internet is the first thing that humanity has built that humanity doesn't understand, the largest experiment in anarchy that we have ever had.” (Eric Schmidt, CEO at Google). In a nutshell, the main theme of this PhD project is to define methodologies and tools for a (i) large scale (ii) longitudinal and (iii) unbiased view of relevant aspects of the Internet, to enrich our knowledge on its understanding. The Internet is a fairly big space. Already considering the IPv4 Internet, billion of addresses are available. Considering IPv6, that is now becoming more prevalent, the number of available addresses exceeds the number of estimated particles in the universe. Thus, characterizing the Internet is difficult due to its scale. Additionally, the Internet is an evolving network. It changes in operations, size, technologies, and economic relationshop, all of which evolves at different time scales. Thus, precisely defining the Internet is difficult due to its evolutionary and dynamism. Finally, the Internet is a complex network, with multiple layers of protocols that interact each other. Thus, measuring the Internet not only requires domain expertise to craft the tools that perform the measurement, but also requires methodologies to extract knowledge from the raw measurement, correlating the different measurement from different protocols/planes. Scale, dynamism and knowledge extraction are the main aspects that this project will have to deal with.