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Parallel and Distributed Processing Symposium, International (2001)
San Francisco, California, USA
Apr. 23, 2001 to Apr. 27, 2001
ISSN: 1530-2075
ISBN: 0-7695-0990-8
pp: 30116b
This paper analyzes a tree hierarchical network architecture employing video caching and multicasting capacity to support a large scale Video-on-Demand service called TV-Anytime. The host servers are connected to other host servers which collectively store all the videos in the system. The proxy servers are located close to customers and are able to store the most popular videos in an adaptive way. Considering many uncertainties in the future demands for videos, we propose an on-line video replacement policy based on a revenue to cost ratio, with an objective of maximizing the overall revenues generated by the system during the runtime. Simulation results show that this policy leads to an efficient TV-Anytime system and makes the system more adaptive to changes in video popularity which is typically the case in the TV industry. The simulation results also show that multicasting significantly improves the system throughput during the high-load periods and makes the system more scalable.
Lars O. Burchard, Cheng-Zhong Xu, Xiaobo Zhou, Reinhard Luling, "A Video Replacement Policy based on Revenue to Cost Ratio in aMulticast TV-Anytime System", Parallel and Distributed Processing Symposium, International, vol. 03, no. , pp. 30116b, 2001, doi:10.1109/IPDPS.2001.925091
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