Optimizing the Throughput of Data-Driven Peer-to-Peer Streaming
IEEE Transactions on Parallel and Distributed Systems
LayerP2P: using layered video chunks in P2P live streaming
IEEE Transactions on Multimedia
Service differentiated peer selection: an incentive mechanism for peer-to-peer media streaming
IEEE Transactions on Multimedia
PULSE: An Adaptive, Incentive-Based, Unstructured P2P Live Streaming System
IEEE Transactions on Multimedia
A performance study of BitTorrent-like peer-to-peer systems
IEEE Journal on Selected Areas in Communications
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
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In Peer-to-Peer (P2P) file sharing systems, such as BitTorrent, peers measure contributions of other peers and upload packets only to a selected subset of peers based on their past contributions. This built-in incentive scheme has alleviated free-riding problem for P2P file sharing. However, it cannot be easily adapted to P2P streaming of scalable videos, because it assumes that each packet is equally important for every peer. This assumption is not true: the importance of a packet to a playback peer depends on a number of factors, including which video layer the packet belongs to, how close it is to the playback deadline, and how many neighboring peers hold this packet. In this paper, we formulated peer selection and packet scheduling process as an integer programming problem. The objective is to maximize the aggregate gain of the packets, measured by their "importance" perceived by playback peers. We evaluated the proposed optimal scheduling algorithm by conducting the experiments in a global scale Internet testbed, PlanetLab, and demonstrated its excellent performance.