Edmundo de Souza e Silva, Federal University of Rio de Janeiro

Location :

Paris Research Lab
46 Quai A. Le Gallo
92648 Boulogne Cedex
France

Abstract :

Peer-to-peer swarming systems à la BitTorrent are usually deployed
for the dissemination of popular content. Popular content naturally
gets highly replicated in the network and capacity scales with demand
ensuring high performance for peers requesting popular content.
Nevertheless, the behavior of swarming  systems in the face of
unpopular content and relatively small populations of users also deserves
attention.  First, it is important to understand what is the
popularity threshold above which the use of swarming systems is  most
beneficial for a publisher.     The second reason is economic.  With
the monetization of BitTorrent clients such as Vuze (previously known
as Azureus),  and surveys showing a huge demand for legal P2P
content, publishers need to identify how to best allocate their resources
across multiple swarms.  For that purpose, it is imperative to identify whether
a swarm is self sustaining or not.  This is particularly evident in a market
where enterprises that can make ``everything available, with small costs'', thrive.
Third,  models focusing on small user populations
may provide insight on when and if coding, bundling or other techniques can help
to make unpopular swarms last longer without the support of a publisher.

The goal of this work is to analyze how chunk availability varies as a function
of different system parameters such as arrival rate of peers and download capacity.

Host :

Paris Research Lab