自适应搜索半径——通过自我约束降低互联网P2P文件共享流量

R. Pereira, T. Vazão, R. Rodrigues
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引用次数: 8

摘要

点对点(P2P)文件共享占互联网流量的很大一部分,这对互联网服务提供商来说意味着巨大的对等成本。已经注意到,就像WWW流量一样,P2P文件共享流量显示出局部性,这是当前P2P文件共享协议没有利用的。我们提出了一种新的对等选择算法,自适应搜索半径(ASR),其主要目标是减少isp的对等成本,其中对等体通过仅从最近的其他对等体(在网络跳数中)下载来利用局域性。使用eMule协议的仿真研究表明,ASR对isp和用户都有好处,因为它们可以在全球范围内减少P2P文件共享流量,用户也可以体验到更快的下载速度。
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Adaptive Search Radius - Lowering Internet P2P File-Sharing Traffic through Self-Restraint
Peer-to-peer (P2P) file sharing accounts for a very significant part of the Internet's traffic, translating into significant peering costs for ISPs. It has been noticed that, just like WWW traffic, P2P file sharing traffic shows locality properties, which are not exploited by current P2P file sharing protocols. We propose a novel peer selection algorithm, adaptive search radius (ASR), whose primary goal is to reduce ISPs' peering costs, where peers exploit locality by only downloading from those other peers which are nearest (in network hops). Simulation studies, using the eMule protocol, show that ASR benefits both ISPs, by globally reducing P2P file sharing traffic, and users, who experience faster downloads.
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