A Peer Selection Algorithm With Consideration of Both Network Topology Information and Node Capability in P2P Network
The features of P2P networking architecture can contribute to robustness and scalability, however, it also introduces network-oblivious traffic, which brings big pressure to the ISPs. Meanwhile, since traffic of P2P applications occupies much of bandwidth in bottleneck links, non-p2p applications may be severely harmed due to lack of bandwidth. To conquer this problem, previous works mainly focused on blocking the P2P traffic to benefit the ISPs, or optimizing peer selection algorithms which can only benefit the P2P applications but ignore the influence to the network. In this paper, we propose an algorithm, which is called PSANIC, to optimize peer selection in P2P networks with consideration of not only network topology information but also node capability. Simulation results show that PSANIC can achieve better performance than traditional DHT algorithms and the algorithm proposed in our previous work in 10, it can also reduce traffic significantly between domains in networks.
peer to peer peer selection network topology information node capability
Tao Guo Xu Zhou Hui Tang Zexu Wu
High Performance Network Laboratory, Institute of Acoustics, Chinese Academy of Science Beijing, Chi Department of Electrical Information, Sichuan University Chengdu, China
国际会议
长沙
英文
293-298
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）