一种基于Tracker端偏向邻居选择的距离感知BitTorrent系统

A Proximity-Aware BitTorrent System via Tracker-Side Biased Neighbor Selection

To address cross-ISP traffic problem caused by BitTorrent, we present our design and evaluation of a proximity-aware BitTorrent system. In our approach, clients generate global proximityaware information by using landmark clustering; the tracker uses this proximity to maintain all peers in an orderly way and hands back a biased subset consisting of the peers who are physically closest to the requestor. Our approach requires no co-operation between P2P users and their Internet infra structures, such as ISPs or CDNs, no constantly path monitoring or probing their neighbors. The simulation results show that our approach can not only reduce unnecessary cross- ISP traffic, but also allow downloadsing fast.