Matrix analysis
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
The Split and Merge Protocol for Interactive Video-on-Demand
IEEE MultiMedia
NGC '99 Proceedings of the First International COST264 Workshop on Networked Group Communication
An Efficient Implementation of Interactive Video-on-Demand
MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Supplying Instantaneous Video-on-Demand Services Using Controlled Multicast
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Multicast Delivery for Interactive Video-On-Demand Service
ICOIN '98 Proceedings of the 13th International Conference on Information Networking
Providing Unrestricted VCR Functions in Multicast Video-on-Demand Servers
ICMCS '98 Proceedings of the IEEE International Conference on Multimedia Computing and Systems
Tailored Transmissions for Efficient Near-Video-On-Demand Service
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
The use of multicast delivery to provide a scalable and interactive video-on-demand service
IEEE Journal on Selected Areas in Communications
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Scalable video distribution schemes have been studied for quite some time. For very popular videos, open-loop broadcast schemes have been devised that partition each video into segments and periodically broadcast each segment on a different channel. Open-loop schemes provide excellent scalability as the number of channels required is independent of the number of clients. However, open-loop schemes typically do not support VCR functions. We will show for open-loop video distribution how, by adjusting the rate at which the segments are transmitted, one can provide VCR functionality. We consider deterministic and probabilistic support of VCR functions: depending on the segment rates chosen, the VCR functions are supported either 100% of the time or with very high probability. For the case of probabilistic support of PLAY and Fast-forward (FF) only, we model the reception process as a semi-Markov accumulation process. We are able to calculate a lower bound on the probability of successfully executing FF actions.