Can internet video-on-demand be profitable?
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Chunkyspread: Heterogeneous Unstructured Tree-Based Peer-to-Peer Multicast
ICNP '06 Proceedings of the Proceedings of the 2006 IEEE International Conference on Network Protocols
Challenges, design and analysis of a large-scale p2p-vod system
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
The effectiveness of intelligent scheduling for multicast video-on-demand
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Investigating the scheduling sensitivity of P2P video streaming: an experimental study
IEEE Transactions on Multimedia - Special section on communities and media computing
AQCS: adaptive queue-based chunk scheduling for P2P live streaming
NETWORKING'08 Proceedings of the 7th international IFIP-TC6 networking conference on AdHoc and sensor networks, wireless networks, next generation internet
Multi-stream 3D video distribution over peer-to-peer networks
Image Communication
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We have recently witnessed an explosion of user-generated content (UGC) sharing, particularly video clips, as the new killer Internet application. Given the sheer amount of resource demands, the peer-to-peer (or peer-assisted) model has been suggested for this new service scenario. There are however a series of unique challenges from the UGC videos to be addressed, in particular, their significantly shorter lengths. As such, any delay, even being minor as compared to those for conventional movie-like videos, will be perceptually amplified. Given the much more stringent delay requirement, the UGC video sharing thus calls for sophisticated scheduling to provide quality playback. In this paper, we propose a novel collaborative delay-aware scheduling (CODAS) that is customized for the short UGC videos. CODAS improves playback quality and reduces server workload, through adaptive prioritization of data requests and tighter collaboration between peer suppliers and the server. We present detailed design and optimization of CODAS, particularly the synergy policies in different zones of a shrinking window. We evaluate it through extensive trace-driven simulations and PlanetLab prototype experiments, and the results show the great improvement over the state-of-the-art solutions.