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Abstr act. Social networking applications have been more and more popular. The huge demands of bandwidth and storage for social media have brought great challenges to the network engineering. The recently emerged content clouds shed light on this dilemma. Towards the content placement scheme on clouds, partitioning the social contents on cloud servers has draw significant interests from the literatures. The existing studies demonstrate that YouTube videos exhibit strong geographic locality of interest. Yet the previous works on partitioning social contents on cloud servers overlooked the geographic popularity of videos. In this paper, we present a geographic-aware content placement scheme on distributed content clouds which takes the geographic popularity of videos into account .Aiming at reduce the cross-boundary traffic and realize the load-balance on cloud servers as well as preserve social relationship. Simulations with data traces from YouTube demonstrate the efficiency of the proposed algorithm.

Optimization of Content Placement Scheme for Social Media on Distributed Content Clouds