Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Space/time trade-offs in hash coding with allowable errors
Communications of the ACM
Can internet video-on-demand be profitable?
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Analyzing video services in Web 2.0: a global perspective
Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video
Offloading servers with collaborative video on demand
IPTPS'08 Proceedings of the 7th international conference on Peer-to-peer systems
Watching user generated videos with prefetching
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Watching user generated videos with prefetching
Image Communication
Cache-centric video recommendation: an approach to improve the efficiency of YouTube caches
Proceedings of the 4th ACM Multimedia Systems Conference
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In this paper, using long-term data traces, we present an in-depth 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, such as peer-to-peer, to reduce the server workload. However, the video correlation presented in YouTube opens new opportunities. We design a novel peer-to-peer short video sharing system based on video correlation, 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 a novel architecture design, an efficient indexing scheme and a source rate allocation mechanism. We perform extensive simulations, which show that the system greatly reduces the server workload and improves the playback quality.