R × W: a scheduling approach for large-scale on-demand data broadcast
IEEE/ACM Transactions on Networking (TON)
Rarest first and choke algorithms are enough
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Measurements, analysis, and modeling of BitTorrent-like systems
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
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
One hop reputations for peer to peer file sharing workloads
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
On Optimal Batching Policies for Video-on-Demand Storage Servers
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Peer-assisted online storage and distribution: modeling and server strategies
Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video
Content availability and bundling in swarming systems
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Peer-assisted on-demand streaming of stored media using BitTorrent-like protocols
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Modeling priority-based incentive policies for peer-assisted content delivery systems
NETWORKING'08 Proceedings of the 7th international IFIP-TC6 networking conference on AdHoc and sensor networks, wireless networks, next generation internet
Dynamic swarm management for improved BitTorrent performance
IPTPS'09 Proceedings of the 8th international conference on Peer-to-peer systems
Optimal server scheduling in hybrid P2P networks
Performance Evaluation
Bundling practice in BitTorrent: what, how, and why
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
Centralized and distributed protocols for tracker-based dynamic swarm management
IEEE/ACM Transactions on Networking (TON)
Content availability and bundling in swarming systems
IEEE/ACM Transactions on Networking (TON)
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A peer-assisted content delivery system uses the upload bandwidth of its clients to assist in delivery of popular content. In peer-assisted systems using a BitTorrent-like protocol, a content delivery server seeds the offered files, and active torrents form when multiple clients make closely-spaced requests for the same content. Scalability is achieved in the sense of being able to accommodate arbitrarily high request rates for individual files. Scalability with respect to the number of files, however, may be much more difficult to achieve, owing to a “long tail” of lukewarm or cold files for which the server may need to assume most or all of the delivery cost. This paper first addresses the question of how best to allocate server resources among multiple active torrents. We then propose new content delivery policies that use some of the available upload bandwidth from currently downloading clients to “inflate” torrents for files that would otherwise require substantial server bandwidth. Our performance results show that use of torrent inflation can substantially reduce download times, by more than 50% in some cases.