Scalable on-demand media streaming with packet loss recovery
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Scheduled video delivery for scalable on-demand service
NOSSDAV '02 Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video
Delimiting the range of effectiveness of scalable on-demand streaming
Performance Evaluation
Open-loop video distribution with support of VCR Functionality
Performance Evaluation
Minimizing Bandwidth Requirements for On-Demand Data Delivery
IEEE Transactions on Knowledge and Data Engineering
Scalable on-demand media streaming with packet loss recovery
IEEE/ACM Transactions on Networking (TON)
On-Line Advancement of Transmission Plans in Video-on-Demand
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Resource Requirements of Closed-Loop Video Delivery Services
IEEE MultiMedia
Architectural choices for video-on-demand systems
Web content caching and distribution
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Network bandwidth requirements for scalable on-demand streaming
IEEE/ACM Transactions on Networking (TON)
Scalable on-demand streaming of nonlinear media
IEEE/ACM Transactions on Networking (TON)
Computer Networks: The International Journal of Computer and Telecommunications Networking - Wireless IP through integration of wireless LAN and cellular networks
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Near-Video-On-Demand (NVOD) entails the provision of viewing flexibility that approaches that of VOD to an unlimited number of viewers of a ?hot? movie at a fixed cost to the provider. This presents an exciting opportunity to service providers, especially when employing broadcast channels such as cable television and satellites. Unlike previous NVOD schemes, which were all highly structured, we employ an algorithmic approach to produce Tailor-Made transmission schemes that dominate all previous ones in both resource consumption and flexibility. The ability to tailor the transmissions to match resource availability is often key to the practicality of the service in a given environment. The design algorithms have been coded, and a prototype has been constructed.