Scalable application layer multicast
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Challenges and Approaches in Large-Scale P2P Media Streaming
IEEE MultiMedia
mTreebone: A Hybrid Tree/Mesh Overlay for Application-Layer Live Video Multicast
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
P2P Live Streaming with Tree-Mesh based Hybrid Overlay
ICPPW '07 Proceedings of the 2007 International Conference on Parallel Processing Workshops
An Alliance Based Peering Scheme for P2P Live Media Streaming
IEEE Transactions on Multimedia
Coolstreaming: Design, Theory, and Practice
IEEE Transactions on Multimedia
Video-on-Demand Networks: Design Approaches and Future Challenges
IEEE Network: The Magazine of Global Internetworking
ToMo: a two-layer mesh/tree structure for live streaming in P2P overlay network
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
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For supporting Peer to Peer (P2P) based live media streaming, a P2P overlay network should be able to accommodate robustness, peer heterogeneity, and scalability. In this paper, we have proposed a Hybrid P2P Overlay (HyPO) approach for live media streaming. In the proposed scheme, the overlay network consists of mesh and tree overlay. The mesh overlay is organized by peers that have the similar bandwidth ranges in geographical place. The tree overlay is formed by stable peers, and is constructed over the mesh overlay. We have pursued the robustness of transmission structure by promoting peers that are considered stable in the mesh overlay as members of tree overlay. Depending on the tree optimization mechanism, the peers which have a large bandwidth will be near to the media source node in the tree overlay, and evenly distributed in the tree with branches of a similar depth. As a result, the tree optimization reduces the average depth of the tree, which enhances the scalability. We evaluate HyPO through simulation. The results demonstrate the efficiency and scalability of our HyPO.