Scheduling policies for an on-demand video server with batching
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Skyscraper broadcasting: a new broadcasting scheme for metropolitan video-on-demand systems
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Supplying Instantaneous Video-on-Demand Services Using Controlled Multicast
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
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
Multicast Video-on-Demand services
ACM SIGCOMM Computer Communication Review
The dyadic stream merging algorithm
Journal of Algorithms
Hybrid broadcast for the video-on-demand service
Journal of Computer Science and Technology
An Alternative Multicast Transmission Scheme for VCR Operations in a Large VOD System
ICOIN '02 Revised Papers from the International Conference on Information Networking, Wireless Communications Technologies and Network Applications-Part II
An Efficient Storage Organization for Multimedia Databases
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
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
A Dynamic Heuristic Broadcasting Protocol for Video-on-Demand
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Modeling and Dimensioning Hierarchical Storage Systems for Low-Delay Video Services
IEEE Transactions on Computers
Proxy-Assisted Periodic Broadcast with Multiple Servers
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
Competitive on-line stream merging algorithms for media-on-demand
Journal of Algorithms - Special issue: Twelfth annual ACM-SIAM symposium on discrete algorithms
Collusion attack on a multi-key secure video proxy scheme
Proceedings of the 12th annual ACM international conference on Multimedia
A COOPERATIVE DISTRIBUTION PROTOCOL FOR VIDEO-ON-DEMAND
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Multimedia Tools and Applications
A stream tapping protocol involving clients in the distribution of videos on demand
Advances in Multimedia
Video Data Delivery using Slotted Patching
Journal of Network and Computer Applications
M-chaining scheme for VoD application on cluster-based Markov process
International Journal of Advanced Media and Communication
Workload-aware resource sharing and cache management for scalable video streaming
IEEE Transactions on Circuits and Systems for Video Technology
Utilizing multi-channel multicast to provide scheduled video delivery
Computer Communications
Adjustable broadcast protocol for large-scale near-video-on-demand systems
Computer Communications
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We present a novel video streaming technique called catching for on-demand delivery of “hot” (i.e., frequently accessed) video objects to a large number of clients. This technique not only significantly reduces the server and network resource requirements but also is capable of providing near-instantaneous service to a large number of clients. By combining this technique for delivery of “hot” video objects with controlled multicast [4] for delivery of “cold” video objects, we design an efficient video delivery scheme referred to as selective catching. Through empirical studies, we demonstrate the efficacy of the proposed video delivery schemes.