Probability, statistics, and queueing theory with computer science applications
Probability, statistics, and queueing theory with computer science applications
Dynamic batching policies for an on-demand video server
Multimedia Systems
Columbia‘s VoD and Multimedia Research Testbed withHeterogeneous Network Support
Multimedia Tools and Applications
A Dynamic Distributed Video on Demand Service
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Designing a Video-on-Demand System for a Brazilian High Speed Network
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
IEEE Communications Magazine
The use of multicast delivery to provide a scalable and interactive video-on-demand service
IEEE Journal on Selected Areas in Communications
A case for end system multicast
IEEE Journal on Selected Areas in Communications
Design an e-broadcasting system for students' online learning
ICHL'09 Proceedings of the Second international conference on Hybrid Learning and Education
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The tradeoffs in employing multicasting technology for implementing large scale video on demand (VoD) over Internet Protocol Television (IPTV) system, in general, come to the scheduled multicasting streams and limited video or television program selections. The scheduling strategies presented in this paper will provide several advantages. First, we proposed a near Video on demand architecture combining multicasting and unicasting batching with no scheduled multicasting stream. Second, we dynamically adjust the admission threshold to alleviate the server loads and improve bandwidth utilization. The idea of virtual community with the introduction of the chatting robots in our system is constructed to fulfill the dynamic adjustment of the batching time.