mardi 8 septembre 2009

soutenance de thèse de Thomas Silverston

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email;internet:thomas.silverston@lip6.fr
title:Ph.D student
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Bonjour,

j'ai le plaisir de vous inviter à ma soutenance de thèse intitulée :
"Peer-to-Peer Video Live Streaming: Measurement Experiments and Traffic
Analysis"
qui sera présentée le mercredi 16 septembre 2009 à 11h00 au Laboratoire
d'Informatique de Paris 6 (LIP6), situé au
104 avenue du Président Kennedy, 75016 Paris
salle 549, ainsi qu'au pot qui suivra.
(Plan d'accès disponible à : http://www.lip6.fr/informations/comment.php),

Cette thèse sera présentée devant le Jury composé de :

M. Laurent MASSOULIÉ, Chercheur à Thomson Technology Paris Laboratory
(Rapporteur)
M. Thierry TURLETTI, Chercheur à l'INRIA Sophia Antipolis (Rapporteur)
M. Kenjiro CHO, IIJ Research Laboratory (Examinateur)
M. Pierre SENS, Professeur à l'Université Pierre et Marie Curie - Paris
6 (Examinateur)
M. Ioannis STAVRAKAKIS, Professeur à la National and Kapodistrian
University of Athens (Examinateur)
M. Serge FDIDA, Professeur à l'Université Pierre et Marie Curie - Paris
6 (Directeur)
M. Olivier FOURMAUX, Maître de conférence à l'Université Pierre et Marie
Curie - Paris 6 (Encadrant)

Cordialement

Thomas Silverston


Abstract:
The Internet is currently experiencing one of the most important
challenges in terms of content distribution
since its first uses as a medium for content delivery: users from
passive downloaders and browsers are moving towards content producers
and publishers.
Following this change, the content delivery architecture of the Internet
is also evolving from the classical client/server model to the
peer-to-peer model (P2P).
For new content delivery services that target a large number of
receivers on the Internet, there are scalability issues
to deliver the content to potentially millions of users at the same time.
This is clearly the case for television service on the Internet.

The television broadcast service with a peer-to-peer architecture
(P2P-TV) has became an important research topic
since it is expected that P2P-TV applications will become massively used
on the Internet.
There has been a lot of P2P-TV architecture proposals but, none of these
proposals has been really implemented or deployed.
At the same time, many commercial applications appeared on the Internet
(PPLive, SOPCast) and their popularity is increasing.
Even tough these applications are freely available, their source code is
not open and
their exact implementation details and protocols are still widely unknown.
There is a lack of knowledge with these applications, with regards to
their architectures, mechanisms or traffic.

In this thesis, in order to fill the gap between the architecture
proposals and the commercial applications,
we study the P2P-TV applications by performing extensive measurement
experiments.
We passively measured the network traffic generated by popular P2P-TV
applications.

We present a detailed study of the P2P-TV traffic, providing useful
insights on both transport and packet-level properties
as well as on the behavior of the peers inside the network.
The knowledge gained thanks to this traffic measurement and analysis is
useful for several tasks as traffic identification,
understanding the performance of different P2P-TV technologies,
the impact of such traffic on the network and building more realistic
models for simulations.

In order to extend the scope of our study,
we performed another measurement campaign at larger scale between Japan
and France
to better characterize the P2P network.
From these experiments,
we study the global organization of peers in the network,
the amount of traffic they exchange and
the overall collaboration of peers.
We will also focus on the distance between peers and
the geographic location of the users.


--
*********************************************
Thomas Silverston - Ph.D student
thomas.silverston@lip6.fr
http://rp.lip6.fr/~silverst

Université Pierre et Marie Curie - LIP6/CNRS
104 avenue du Président Kennedy
75016 Paris, France
+33 1 44 27 88 77
*********************************************

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