理解点对点系统中的位置感知

Xiongfei Weng, Hongliang Yu, G. Shi, Jing Chen, Xu Wang, Jing Sun, Weimin Zheng
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引用次数: 12

摘要

位置感知是对等(P2P)系统的基本特征之一。近年来,提出了许多位置感知算法,其中可以将位置定义为不同的网络度量。在本文中,我们比较了对等用户和isp之间不同的性能优化目标,然后进行了详细的仿真研究,以准确地探索基于不同网络指标的位置感知算法如何影响真实P2P系统的性能。两个广泛部署的P2P系统,包括BitTorrent(一个内容分发系统)和CoolStreaming(一个媒体流系统),在PlanetLab的真实数据集下进行了广泛的模拟测试。实验结果表明,在同一自治系统内选择邻居是可取的,这可以减少用户体验的延迟并保持流量的局部性。
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Understanding Locality-Awareness in Peer-to-Peer Systems
Locality-awareness is one of the essential characteristics for peer-to-peer (P2P) systems. Recently, many locality-aware algorithms have been proposed, in which locality can be defined as different network metrics. In this paper, we compare different performance optimization goals between peer users and ISPs, and then present a detailed simulation study to accurately explore how locality-aware algorithms based on different network metrics influence the performance of real P2P systems. Two widely deployed P2P systems, including BitTorrent, a content-distribution system, and CoolStreaming, a media streaming system, are tested under the real data set from PlanetLab in our extensive simulations. Experimental results suggest that selecting neighbors within the same AS is desirable, which can decrease user experienced delays and keep traffic locality.
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