hTracker:面向服务提供者的点对点架构

R. Saad, A. Serhrouchni, Ken Chen
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引用次数: 2

摘要

像BitTorrent这样的点对点(P2P)应用程序实际上占据了互联网流量的主要部分。然而,他们没有考虑到自治系统(as)之间交换的大量交通量的重要性。这限制了互联网服务提供商(isp)限制BitTorrent连接,以降低他们的对等成本。实现这种机制的困难在于,大多数P2P应用程序是分布式的,没有任何实际的控制。我们提出了一种基于引入一个名为hTracker的控制实体的方法。后者包括在BitTorrent中添加一个控制级别和一个新的对等选择策略,以减少下载时间和as间流量。这里采用的原则是利用位置信息对流量进行分割,并使每个对等体根据其所属的自治系统选择邻居。我们还提出了一个使用HMAC函数计算的正式对等规范,以映射每个对等体及其AS成员。大规模的仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
hTracker: Towards a service provider oriented Peer-to-Peer architecture
Peer-to-Peer (P2P) applications such as BitTorrent occupy actually a dominant part of the Internet traffic. However, they don't take into consideration the importance of the large traffic volumes exchanged between Autonomous Systems (ASs). This constrains Internet Service Providers (ISPs) to restrict BitTorrent connections in a way of decreasing their peering costs. The difficulty in implementing such a mechanism is that most of the P2P applications are distributed and without any real control. We propose an approach which is based on the introduction of a control entity called hTracker. The latter consists in adding a control level in BitTorrent with a new peer selection policy, in order to reduce the download time and as well as the inter-ASs traffic. The principle adopted here is to fraction the traffic by using locality information and to make each peer selects his neighbors relying on the AS he belongs to. We also propose a formal peerld specification calculated using an HMAC function to map each peer with its AS membership. The large-scale simulations show valuable results that validate our solution.
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