COOCHING: Cooperative Prefetching Strategy for P2P Video-on-Demand System
MMNS 2009 Proceedings of the 12th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services: Wired-Wireless Multimedia Networks and Services Management
Probabilistic Seeking Prediction in P2P VoD Systems
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
KCube: A novel architecture for interconnection networks
Information Processing Letters
A novel cache optimization algorithm and protocol for video streaming in pure peer-to-peer networks
Proceedings of the 2010 ACM workshop on Advanced video streaming techniques for peer-to-peer networks and social networking
Designing an effective P2P system for a VoD system to exploit the multicast communication
Journal of Parallel and Distributed Computing
P2PVR: A playback offset aware multicast tree for on-demand video streaming with VCR functions
Journal of Systems Architecture: the EUROMICRO Journal
Removing uncertainties from overlay network
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Modeling and analysis of multi-channel P2P VoD systems
Journal of Network and Computer Applications
Challenges in supporting non-linear and non-continuous media access in P2P systems
Proceedings of the 20th ACM international conference on Multimedia
Modeling the effect of user interactions on mesh-based P2P VoD streaming systems
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
KMcube: the compound of Kautz digraph and Möbius cube
Frontiers of Computer Science: Selected Publications from Chinese Universities
DVcube: A novel compound architecture of disc-ring graph and hypercube-like graph
Theoretical Computer Science
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Most P2P Video-On-Demand (VOD) schemes mainly focus more on mending service architectures and optimizing overlays but do not carefully consider the user behavior and the benefit of prefetching strategies. As a result, they cannot better support VCR-oriented services in terms of substantive asynchronous clients, and free VCR controls for P2P VODs. In this paper, we propose VOVO, VCR-oriented VOD for large-scale P2P networks. By mining associations inside a video, the segments requested in VCR interactivities are accurately predicted based on the information collected through gossips. Together with a hybrid caching strategy, a collaborative prefetching scheme is proposed to optimize resource distribution among neighboring peers. We evaluate VOVO through extensive experiments. Results show that VOVO is scalable and effective, providing short startup latencies and good performance in VCR interactivities.