Long-term movie popularity models in video-on-demand systems: or the life of an on-demand movie
MULTIMEDIA '97 Proceedings of the fifth 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
Earthworm: A Network Memory Management Technique for Large-Scale Distributed Multimedia Applications
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
On Optimal Batching Policies for Video-on-Demand Storage Servers
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Hierarchical video patching with optimal server bandwidth
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
P-chaining: a practical VoD service scheme autonomically handling interactive operations
Multimedia Tools and Applications
Hybrid chaining scheme for video-on-demand applications based on popularity
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
Video-an-demand systems with cooperative clients in multicast environment
IEEE Transactions on Circuits and Systems for Video Technology
Cooperative video broadcasting in heterogeneous network environment
ICUFN'09 Proceedings of the first international conference on Ubiquitous and future networks
DVoDP2P: distributed P2P assisted multicast VoD architecture
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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Advances in network technology make multicast one of the most feasible video streaming delivery techniques for the near future. However, the scalability of a multicast VoD system is limited by the server bandwidth. In this paper, we propose a new multicast delivery scheme that allows every active client to collaborate with the server in order to scale the VoD system performance beyond the servers physical limitations. The solution combined the multicast delivery scheme and peer-2-peer paradigm in order to decentralize the delivery process. The new video delivery scheme is able to merge two or more multicast channels using distributed collaborations between a group of clients. We compared the new policy with Chaining and Patching schemes and the experimental results showed that our policy is better than previous schemes in terms of reduction of resource requirements and local network load. Compared with multicast Patching policy, the new scheme reduced the resource requirement up to 77.5% while the local network load was 66.9% lower than a peer-2-peer Chaining policy.