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In this paper, the authors study the effectiveness of object management policies based on users' personal signals, available on YouTube-like content distribution systems, for improving content availability in P2P-CDN networks. Three policies are introduced and evaluated using real data collected from YouTube video collection, the most accessed multimedia distribution sys-tem in the Internet. They found those policies can improve content availability, over 60%, compared to the LFU policy, and over 25%, compare to the GDSP policy, in hybrid P2P-CDN networks.
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