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In this paper, the authors propose and analyze an object management policy approach for video web cache in a P2P context, taking advantage of object's metadata, for example, video popularity, and object's encoding techniques, for example, Scalable Video Coding (SVC). They carry out trace-driven simulations so as to evaluate the performance of their approach and compare it against traditional object management policy approaches. In addition, they study as well the impact of churn on their approach and on other object management policies that implement different caching strategies. A YouTube video collection which records over 1.6 million video's log was used in their experimental studies. The experiment results have showed that their proposed approach can improve the performance of the cache substantially.
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