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A performance study of BitTorrent-like peer-to-peer systems

机译:类似于BitTorrent的点对点系统的性能研究

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This paper presents a performance study of BitTorrent-like P2P systems by modeling, based on extensive measurements and trace analysis. Existing studies on BitTorrent systems are single-torrent based and usually assume the process of request arrivals to a torrent is Poisson-like. However, in reality, most BitTorrent peers participate in multiple torrents and file popularity changes over time. Our study of representative BitTorrent traffic provides insights into the evolution of single-torrent systems and several new findings regarding the limitations of BitTorrent systems: (1) Due to the exponentially decreasing peer arrival rate in a torrent, the service availability of the corresponding file becomes poor quickly, and eventually it is hard to locate and download this file. (2) Client performance in the BitTorrent-like system is unstable, and fluctuates significantly with the changes of the number of online peers. (3) Existing systems could provide unfair services to peers, where a peer with a higher downloading speed tends to download more and upload less. Motivated by the analysis and modeling results, we have further proposed a graph based model to study interactions among multiple torrents. Our model quantitatively demonstrates that inter-torrent collaboration is much more effective than stimulating seeds to serve longer for addressing the service unavailability in BitTorrent systems. An architecture for inter-torrent collaboration under an exchange based instant incentive mechanism is also discussed and evaluated by simulations
机译:本文通过广泛的测量和跟踪分析,通过建模对类似BitTorrent的P2P系统进行了性能研究。关于BitTorrent系统的现有研究是基于单个种子的,并且通常假设请求到达种子的过程类似于Poisson。但是,实际上,大多数BitTorrent同行都会参与多个种子,并且文件的流行程度会随着时间而变化。我们对具有代表性的BitTorrent流量的研究提供了有关单个Torrent系统演变的见解,以及有关BitTorrent系统局限性的一些新发现:(1)由于torrent中的对等体到达率呈指数下降,因此相应文件的服务可用性变成了效果较差,最终很难找到并下载此文件。 (2)在类似BitTorrent的系统中,客户端性能不稳定,并且随着在线对等体数量的变化而显着波动。 (3)现有系统可能会向对等方提供不公平的服务,其中下载速度较高的对等方倾向于下载更多而上传较少。基于分析和建模结果的激励,我们进一步提出了一种基于图的模型来研究多个洪流之间的相互作用。我们的模型从数量上证明了,种子之间的协作比刺激种子提供更长的时间来解决BitTorrent系统中的服务不可用要有效得多。还讨论了基于交换的即时激励机制下的洪流协作架构,并通过仿真对其进行了评估

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