Paper
10 September 2007 Layered video delivery from multiple servers
Author Affiliations +
Proceedings Volume 6777, Multimedia Systems and Applications X; 677706 (2007) https://doi.org/10.1117/12.740078
Event: Optics East, 2007, Boston, MA, United States
Abstract
In this paper, we consider the delivery of layered video from parallel heterogenous servers within a video-on-demand infrastruture. A parallel server architecture enables the service of requests by more than one server, thus reducing load at individual servers and dispersing network load. Serving requests for a single video through all or a subset of servers in the system reduces the probability of server overload brought about by a large number of requests for popular content; more clients may also be admitted for the retrieval of video data. Delivery through multiple servers requires that the video data be partitioned. Ideally, the data should be partitioned such that multiple server retrieval provides the same download and access time performance possible when retrieving from a single server of the same total bandwidth. We design and analyse play-while-retrieve strategies that involve streaming layers from different servers and show how access time can be reduced through these strategies. While system wide data striping can completely remove the problem of hotspotting, the method does not scale well and problems may be encountered when the system grow in size or when heterogenous disks have to be used. Since our proposed scheme takes into consideration heterogenous upload bandwidth and layer bitrates, it may be suitable for a peer to peer network where peer upload bandwidth is limited and varied.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Y. H. Tan, J. Y. Tham, H. Palit, and X. Li "Layered video delivery from multiple servers", Proc. SPIE 6777, Multimedia Systems and Applications X, 677706 (10 September 2007); https://doi.org/10.1117/12.740078
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KEYWORDS
Video

Scalable video coding

Switches

Data storage

Internet

Computer programming

Network architectures

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