Competitive on-line stream merging algorithms for media-on-demand
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Windows scheduling problems for broadcast systems
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
The dyadic stream merging algorithm
Journal of Algorithms
Interaction with broadcast video
Proceedings of the tenth ACM international conference on Multimedia
Scheduling techniques for media-on-demand
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Off-line and on-line guaranteed start-up delay for media-on-demand with stream merging
Proceedings of the fifteenth annual ACM symposium on Parallel algorithms and architectures
An adaptive video multicast scheme for varying workloads
Multimedia Systems
Competitive on-line stream merging algorithms for media-on-demand
Journal of Algorithms - Special issue: Twelfth annual ACM-SIAM symposium on discrete algorithms
P2MCMD: A scalable approach to VoD service over peer-to-peer networks
Journal of Parallel and Distributed Computing
Optimal delay for media-on-demand with pre-loading and pre-buffering
Theoretical Computer Science
An enhanced client-centric approach for efficient video broadcast
Multimedia Tools and Applications
Utilizing multi-channel multicast to provide scheduled video delivery
Computer Communications
Optimal delay for media-on-demand with pre-loading and pre-buffering
SIROCCO'06 Proceedings of the 13th international conference on Structural Information and Communication Complexity
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Several periodic broadcasting schemes have been shown to be very effective in addressing the bandwidth limitation in multimedia servers. Since this approach allows many users to share a server stream, its bandwidth requirement is independent of the number of users the system is designed to support. Existing broadcasting schemes use two or less download channels at the client end to receive data. We discuss the drawbacks of this approach, and propose a new technique which allows a video session to download data through several client channels. The number of channels which can be used simultaneously is limited only by the communication capability of the client system. We prove the correctness of this client-centric approach, and provide analytical evaluations to show that it has significantly better performance than {\em Skyscraper Broadcasting} technique which has been shown to offer the best performance to date.