Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Improving Traffic Locality in BitTorrent via Biased Neighbor Selection
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Dynamic Bandwidth Auctions in Multioverlay P2P Streaming with Network Coding
IEEE Transactions on Parallel and Distributed Systems
UTAPS: An Underlying Topology-Aware Peer Selection Algorithm in BitTorrent
AINA '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications
P4p: provider portal for applications
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Taming the torrent: a practical approach to reducing cross-isp traffic in peer-to-peer systems
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
On ISP-friendly rate allocation for peer-assisted VoD
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Diverse: application-layer service differentiation in peer-to-peer communications
IEEE Journal on Selected Areas in Communications
Editorial: Editorial for special issue Internet-based Content Delivery
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Peer-to-peer (P2P) technology greatly scales up traditional Internet streaming service. However, the philosophy that peers help one another distribute video content produces a large amount of cross-ISP P2P traffic. Newly proposed ISP-friendly P2P mechanisms reduce the cross-ISP P2P traffic by using locality-based peer selection mechanisms, in which the peers tend to connect to other peers in the same ISP domain. However, one unanswered question is how can we achieve the tradeoffs between the cross-ISP P2P traffic and the P2P streaming performance if there are conflicts between them. In this paper, we propose a rate allocation mechanism for achieving the tradeoffs between the cross-ISP P2P traffic and the P2P streaming performance. We model the tradeoffs as a multiobjective optimization problem and solve it using the Goal Attainment method. The evaluation result shows that our mechanism is able to achieve the tradeoffs between the conflicts and maintain good fairness among the peers and the streaming overlays.