Channel allocation under batching and VCR control in video-on-demand systems
Journal of Parallel and Distributed Computing - Special issue on multimedia processing and technology
Skyscraper broadcasting: a new broadcasting scheme for metropolitan video-on-demand systems
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Patching: a multicast technique for true video-on-demand services
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Improving bandwidth efficiency of video-on-demand servers
IC3N '97 Selected papers of the 6th international conference on Computer communications and networks
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
An Efficient Periodic Broadcast Technique for Digital VideoLibraries
Multimedia Tools and Applications
Chaining: A Generalized Batching Technique for Video-On-Demand Systems
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Video-on-Demand Server Efficiency through Stream Tapping
IC3N '97 Proceedings of the 6th International Conference on Computer Communications and Networks
A Stream Tapping Protocol with Partial Preloading
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
A COOPERATIVE DISTRIBUTION PROTOCOL FOR VIDEO-ON-DEMAND
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Optimal chaining scheme for video-on-demand applications on collaborative networks
IEEE Transactions on Multimedia
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We present a stream tapping protocol that involves clients in the video distribution process. As in conventional stream tapping, our protocol allows new clients to tap themost recent broadcast of the video they are watching. While conventional stream tapping required the server to send to these clients the part of the video they missed, our protocol delegates this task to the clients that are already watching the video, thus greatly reducing the workload of the server. Unlike previous solutions involving clients in the video distribution process, our protocol works with clients that can only upload video data at a fraction of the video consumption rate and includes a mechanism to control its network bandwidth consumption.