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A Video Replacement Policy based on Revenue to Cost Ratio in a Multicast TY-Anytime System
Citation key ZB01
Author Xiaobo Zhou and Lars-Olof Burchard and Reinhard L├╝ling
Title of Book Workshop on Parallel and Distributed Computing in Image Processing, Video Processing, and Multimedia (PDIVM), San Francisco, USA.
Year 2001
Abstract This paper analyzes a tree hierarchical network architecture employing video caching and multicasting capacity to support a broadband video service called TV-Anytime. The proxy servers are located close to customers and are able to store the most popular videos in an adaptive way. Due to a large uncertainty in the future demands for videos, we propose an on-line video replacement policy based on revenue to cost ratio, which aims to maximize the overall revenue generated by the system during the runtime. The simulation results show that this policy yields an efficient 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.
Link to publication [1] Download Bibtex entry [2]
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