Video staging: a proxy-server-based approach to end-to-end video delivery over wide-area networks
IEEE/ACM Transactions on Networking (TON)
Segment-based proxy caching of multimedia streams
Proceedings of the 10th international conference on World Wide Web
Analysis of educational media server workloads
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
Distributing Layered Encoded Video through Caches
IEEE Transactions on Computers
Adaptive and lazy segmentation based proxy caching for streaming media delivery
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
DISC: Dynamic Interleaved Segment Caching for Interactive Streaming
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Measurement and analysis of a streaming-media workload
USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
COPACC: a cooperative proxy-client caching system for on-demand media streaming
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
An interactive video delivery and caching system using video summarization
Computer Communications
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In the paper, we propose a novel Sliding Window caching algorithm for fast interactive access to alleviating the bottleneck in accessing disk I/O or network of limited bandwidth, which uses periodic caching to efficiently manage the cached video data. The performance is further enhanced by adopting two policies: prefix caching and variable-sized caching. Simulations using traces from a real VOD server confirm that our proposed method considerably outperforms existing techniques based on uniform segmentation, exponential segmentation, LRU exponential segmentation and adaptive and lazy segmentation algorithm. Under VCR operations, our proposed method achieves a 35% disk load reduction by caching 2.4% of the video' total size.