Scheduling policies for an on-demand video server with batching
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Patching: a multicast technique for true video-on-demand services
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Squirrel: a decentralized peer-to-peer web cache
Proceedings of the twenty-first annual symposium on Principles of distributed computing
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
SplitStream: high-bandwidth multicast in cooperative environments
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
PROMISE: peer-to-peer media streaming using CollectCast
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A Peer to Peer Prefix Patching Scheme for VOD Servers
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
Challenges, design and analysis of a large-scale p2p-vod system
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Re-evaluating Multicast Streaming Using Large-Scale Network Simulation
INTENSIVE '09 Proceedings of the 2009 First International Conference on Intensive Applications and Services
Peer-to-peer based multimedia distribution service
IEEE Transactions on Multimedia
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Increasing mass-market acceptance of on-demand streaming services motivates us to seek new innovations in the way we deliver media content over networks. An architecture is proposed in which edge-resources in a peer-to-peer network assist in the provision of fully-interactive on-demand streaming services based on multicast. This approach represents a synergy between multicast batching, proxy prefix caching and collaborative caching of media content. The approach differs from other work in its use of long-term caching of content across streaming sessions. The proposed approach has been evaluated using a highly detailed network simulation that models real-world network (IPv6) and streaming (RTSP) protocols and the Pastry overlay network. Results demonstrate that substantial reductions in server bandwidth can be achieved with low client storage and bandwidth overhead.