Performance Analysis of a Pull-Based Parallel Video Server
IEEE Transactions on Parallel and Distributed Systems
VOD services for mobile wireless devices
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
Striping Doesn't Scale: How to Achieve Scalability for Continuous Media Servers with Replication
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Solving a Media Mapping Problem in a Hierarchical Server Network with Parallel Simulated Annealing
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
KOM Player - A Platform for Experimental VoD Research
ISCC '01 Proceedings of the Sixth IEEE Symposium on Computers and Communications
Research on Model and Scheduling Algorithm for Double-Mode VoD Servers
ICCNMC '03 Proceedings of the 2003 International Conference on Computer Networks and Mobile Computing
MUMOC: An Active Infrastructure for Open Video Caching
DFMA '05 Proceedings of the First International Conference on Distributed Frameworks for Multimedia Applications
Fragmented Patching: New VOD Technique That Supports Client Mobility
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
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VOD (Video on Demand) is one of significant services for next generation networks. VOD networks mean local networks to provide VOD services to communities in a scale about 500 to 1000 users simultaneously. Many VOD networks could cooperate through external networks link internet. The cooperation requires not only huge local bandwidth but great backbone bandwidth. This paper presents prediction algorithms to reduce the cost in external communications which is very important for VOD operators. Basic algorithms can reduce overall costs about 30% and well trained ANN can provide extra 10% performance.