Peer-to-peer systems monitoring

Advisors: Fabrice Le Fessant (INRIA-futurs)

Keywords: peer-to-peer, file-sharing, monitoring, analyses, traces, Edonkey, Fasttrack

The goal of this work is to provide a better understanding of the
behavior of users in peer-to-peer networks, by monitoring their
behavior in existing networks, especially file-sharing networks which
are the most used ones.

The implementation part of this study would be done in Objective-Caml,
on the MLdonkey platform (a GPL multi-network client), either to
extend it to monitor networks, or to analyse existing traces we have
already collected.

We aim at collecting the following kind of information:

    * Sharing patterns: what users share and how long (for example on Edonkey)
    * Discovery queries and replies: how users query for files and which
        replies match these queries (for example on Kazaa).
    * Downloading patterns: what users download, how long it take, with who the 
        interact on the networks (for example on Bittorrent).
    * Availability patterns: when users are connected to the network, and when
        their ressources are available (for example on Kademlia)

      We already have collected some traces, which could be analysed during an internship:
    * traces of the Edonkey network containing, for each connected peer, the list of files it shares.
    * traces of the Kazaa network containing the interactions between a peer and
         the supernode it is connected to (queries, sharing, etc)