A histogram-based model for video traffic behavior in an ATM multiplexer
IEEE/ACM Transactions on Networking (TON)
Reducing I/O demand in video-on-demand storage servers
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
IEEE/ACM Transactions on Networking (TON)
On analytic modeling of multimedia batching schemes
Performance Evaluation
Continuous Media Sharing in Multimedia Database Systems
Proceedings of the 4th International Conference on Database Systems for Advanced Applications (DASFAA)
Supplying Instantaneous Video-on-Demand Services Using Controlled Multicast
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Performance model of interactive video-on-demand systems
IEEE Journal on Selected Areas in Communications
The use of multicast delivery to provide a scalable and interactive video-on-demand service
IEEE Journal on Selected Areas in Communications
Smoothing, statistical multiplexing, and call admission control for stored video
IEEE Journal on Selected Areas in Communications
Networking requirements for interactive video on demand
IEEE Journal on Selected Areas in Communications
Admission control for statistical QoS: theory and practice
IEEE Network: The Magazine of Global Internetworking
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The resource sharing techniques in Multimedia on demand systems allow the simultaneous service of a large number of requests with considerable savings in terms of network bandwidth and server resources. In this paper, we report the results of a study that analyzes several key aspects of video distribution systems, in the hypothesis of exploiting patching techniques. Synthetically, such a technique consists in serving a client request by an existing stream for that video object (if there is any) which is buffered in the client equipment and simultaneously a new stream is requested to the server for the frames already transmitted. For such systems, a performance analysis has been carried out, exploiting analytical and simulation models. The results show the main system performance (efficiency, aggregate bandwidth, etc.) allowing to decide about the acceptance of a new service request based on QoS criteria.