In this thesis, using long-term data traces, we present an in-depth and systematic measurement study on the characteristics of YouTube, the most successful site providing a new generation of short video sharing service. We find that YouTube videos have noticeable differences compared with traditional videos, making it difficult to use conventional strategies (e.g., peer-to-peer) to reduce the server workload. However, the social network presented among YouTube videos opens new opportunities. We design a novel social network based peer-to-peer short video sharing system, in which peers are responsible for re-distributing the videos that they have cached. We address a series of key design issues to realize the system, including an efficient indexing scheme, a bi-layer overlay leveraging social networking, a source rate allocation and a pre-fetching strategy to guarantee the playback quality. We perform extensive simulations, which show that the system greatly reduces the server workload and improves the playback quality.
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