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
Optimal and efficient merging schedules for video-on-demand servers
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
A case for end system multicast (keynote address)
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
OSMOSIS: Scalable Delivery of Real-Time Streaming Media in Ad-Hoc Overlay Networks
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
A peer-to-peer network for live media streaming using a push-pull approach
Proceedings of the 13th annual ACM international conference on Multimedia
oStream: asynchronous streaming multicast in application-layer overlay networks
IEEE Journal on Selected Areas in Communications
Analysis of bittorrent-like protocols for on-demand stored media streaming
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Peer-assisted on-demand streaming of stored media using BitTorrent-like protocols
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Insights on media streaming progress using BitTorrent-like protocols for on-demand streaming
IEEE/ACM Transactions on Networking (TON)
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Provisioning scalable and resilient Video-on-Demand (VoD) service is both challenging and interesting. Recently, peer-to-peer (P2P) networks are introduced to address the scalability of VoD service over Internet. Most of existing work follows the line of cache-and-relay (CR) scheme to accommodate the asynchronous characteristic of requests from a community of end users. Aiming to take full advantages of bandwidth capacities at each node and pre-recorded feature of requested video files at streaming server, we improve traditional CR approach by efficiently exploiting surplus bandwidth and proactively prefetching media contents from either the server or other peers. Our proposed basic chasing and advanced chasing mechanism not only achieve significant reduction of workload on streaming server, which could translate into better scalability, but also help the streaming session to adapt to volatile network fluctuation. Our extensive experiments have demonstrated encouraging results with respect to increased system performance.