P2Cast: peer-to-peer patching scheme for VoD service
WWW '03 Proceedings of the 12th international conference on World Wide Web
Understanding user behavior in large-scale video-on-demand systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Total recall: system support for automated availability management
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Deploying Video-on-Demand Services on Cable Networks
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Can internet video-on-demand be profitable?
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Enabling DVD-like features in P2P video-on-demand systems
Proceedings of the 2007 workshop on Peer-to-peer streaming and IP-TV
Towards cinematic internet video-on-demand
Proceedings of the 3rd ACM SIGOPS/EuroSys European Conference on Computer Systems 2008
On the impact of quality adaptation in SVC-based P2P video-on-demand systems
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
SmartPeerCast: a Smart QoS driven P2P live streaming framework
Multimedia Tools and Applications
A novel data replication mechanism in P2P VoD system
Future Generation Computer Systems
Server-assisted adaptive video replication for P2P VoD
Image Communication
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Video-on-Demand (VoD) is a compelling application, but costly due to the load it places on servers. Peer-to-peer (P2P) techniques hold the potential to reduce centralized costs by sharing data between peers. There are many difficult design issues associated with P2P for VoD. Viewing the problem as designing a large distributed cache, many of the issues can be expressed in terms of caching algorithms. In an earlier paper [6], we studied the performance of Grid-Cast, a P2P VoD system deployed on CERNET. From system traces, we found that departure misses are the major cause of server load. Motivated by this finding, this paper examines how to use replication to decrease departure misses and thereby further reduce server load. This paper proposes and evaluates a framework for lazy replication. Lazy replication postpones replication, trying to make efficient use of bandwidth. In our framework, two predictors are plugged in to create the working replication algorithm. Lazy replication with several predictors is compared with a naïve eager replication algorithm. We find that lazy replication is more efficient than eager replication, even when using two simple predictors. With these two simple predictors, lazy replication can decrease server load by 15% from multivideo caching with only a minor increase in network traffic.