Exploring large-scale peer-to-peer live streaming topologies
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Rate-optimal schemes for Peer-to-Peer live streaming
Performance Evaluation
Towards automated performance diagnosis in a large IPTV network
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Managing alternative parent peers for providing fast reconnection between peers
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
A behaviour model of the SopCast users
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
Understanding overlay characteristics of a large-scale peer-to-peer IPTV system
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Diagnosing network-wide P2P live streaming inefficiencies
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Issue on P2P Streaming
Characterizing SopCast client behavior
Computer Communications
SmoothCache: HTTP-Live streaming goes peer-to-peer
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part II
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With the success of P2P file sharing applications, new emerging P2P applications arise on the Internet for broadcasting new content like voice (VoIP) or video (IPTV). Nowadays, there are a lot of works measuring file sharing [2] or telephony P2P applications [1], but there is still no comprehensive study about P2P IPTV applications [3]. However, we think P2P IPTV applications will be massively used in the future and it is very important to study the effect they will have on the network. We measured network traffic generated by P2P IPTV users watching the last FIFA world cup. We used several applications in different network environments to collect a large amount of various data. FIFA world cup is a large-scale event with live interest and we believe this will allow us to have a representative sample of large-scale P2P IPTV applications. With the huge amount of collected data, we can study users/applications behavior for P2P live streaming system and their impact on the traffic network.