摘要
BitTorrent系统是当前最流行的P2P文件共享系统,但因其Tracker采用随机的结点选择算法从而造成了大量的冗余网络流量。文章提出一种基于拓扑意识的结点选择算法TAPS,根据网络拓扑信息进行结点选择。经过仿真实验证明,TAPS(10,40,∞)在保证BitTorrent应用性能的前提下极大地减少了骨干网流量和网络负载。
BitTorrent is a popular P2P file share system. But the random peer selection algorithm used in its tracker brings enormous redundancy network traffics. This article proposes an efficient topology awareness peer selection algorithm, which selects peers based on the topology information of network. The simulation proves that TAPS（10,40,∞） algorithm not only keeps the application performance of BitTorrent, but also enormously reduces traffics over backbone network and network extra costs.
出处
《微电子学与计算机》
CSCD
北大核心
2007年第1期34-37,共4页
Microelectronics & Computer
基金
国防科大并行与分布处理国家重点实验室基金项目(51484030105JW1203)
