Proceedings ArticleDOI
Support for fully interactive playout in disk-array-based video server
Ming-Syan Chen,Dilip D. Kandlur,Philip S. Yu +2 more
- pp 391-398
TLDR
Methods to support variable rate browsing for MPEG-like video steams and minimize the additional resources required are devised and it is shown that the proposed method is a viable approach to video browsing.Abstract:
In a video-on-demand (VOD) system, it is desirable to provide the user with interactive browsing functions such as “fast forward” and “fast backward.” However, these functions usually require a significant amount of additional resources from the VOD system in terms of storage space, retrieval throughput, network bandwidth, etc. Moreover, prevalent video compression techniques such as MPEG impose additional constraints on the process since they introduce inter-frame dependencies. In this paper, we devise methods to support variable rate browsing for MPEG-like video steams and minimize the additional resources required. Specifically, we consider retrieval for a disk-array-based video server and address the problem of distributing the retrieval requests across the disks.Our overall approach for interactive browsing comprises (1) a storage method, (2) placement and sampling methods, and (3) a playout method, where the placement and sampling methods are two alternatives for video segment selection. The segment sampling scheme supports browsing at any desired speed, while minimizing the variation on the number of video segments skipped between samplings. On the other hand, the segment placement scheme supports completely uniform segment sampling across the disk array for some specific speedup rates. Experiments for the visual effect of the proposed segment skipping approach have been conducted on MPEG data. It is shown that the proposed method is a viable approach to video browsing.read more
Citations
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Streaming video over the Internet: approaches and directions
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Multimedia storage servers: a tutorial
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Disk scheduling in a multimedia I/O system
TL;DR: A new scheduling algorithm is proposed, SCAN-EDF, that combines the features of SCAN type of seek optimizing algorithm with an Earliest Deadline First (EDF) type of real-time scheduling algorithm.
Journal ArticleDOI
Silo, rainbow, and caching token: schemes for scalable, fault tolerant stream caching
TL;DR: This paper proposes the following new schemes that work together: Rainbow, a local data replacement scheme based on the concept of segment access potential that accurately captures the popularity metrics, and Caching Token, a dynamic global data replacement or redistribution scheme that exploits existing data in distributed caches to minimize data distribution overhead.
Proceedings ArticleDOI
A scalable video-on-demand service for the provision of VCR-like functions
TL;DR: Simulation results show that the proposed model can utilize server bandwidth, improve the reliability of playback, reduce the buffering needed and support VCR-like functions without blocking user access to the storage device.
References
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Proceedings ArticleDOI
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Proceedings ArticleDOI
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