Transience of peers & streaming media
ACM SIGCOMM Computer Communication Review
PlanetLab: an overlay testbed for broad-coverage services
ACM SIGCOMM Computer Communication Review
Traffic analysis of peer-to-peer IPTV communities
Computer Networks: The International Journal of Computer and Telecommunications Networking
Collabrium: Active Traffic Pattern Prediction for Boosting P2P Collaboration
WETICE '09 Proceedings of the 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises
Improving Performance of ALM Systems with Bayesian Estimation of Peers Dynamics
MMNS 2009 Proceedings of the 12th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services: Wired-Wireless Multimedia Networks and Services Management
mTreebone: A Collaborative Tree-Mesh Overlay Network for Multicast Video Streaming
IEEE Transactions on Parallel and Distributed Systems
Characterizing user behavior to improve quality of streaming service over p2p networks
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
A Bayesian approach for user aware peer-to-peer video streaming systems
Image Communication
Coolstreaming: Design, Theory, and Practice
IEEE Transactions on Multimedia
A case for end system multicast
IEEE Journal on Selected Areas in Communications
Scribe: a large-scale and decentralized application-level multicast infrastructure
IEEE Journal on Selected Areas in Communications
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Streaming live video over the Internet presents great challenges due to its sheer bandwidth requirements. Client/Server model suffers from scalability issues and high deployment cost to provide this service. Peer-to-Peer (P2P) approach provides an excellent alternative due to its potential scalability and ease of deployment. Nonetheless, a major limitation of P2P approach lies in its high dependency on users. Since peers relay content, which themselves are controlled by users, the behavior of the latter has a major impact on the streaming quality perceived by users. Indeed, unlike dedicated servers, peers join the system intermittently, which poses great challenges in providing QoS for operated live streaming services. In this paper, we propose an autonomous topology management framework for P2P live streaming architectures that minimizes the impact of peers' frequent departures. It consists in a stabilization strategy for push-based systems that moves unstable peers towards the outskirts of the topology. To validate our approach, we performed experiments on PlanetLab and show here the significant improvement of our contribution as compared to an existing system in terms of the global service quality.