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A motivate mechanism for large-scale P2P content delivery system

机译:大规模P2P内容分发系统的激励机制

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摘要

For lack of effective resource adjustment method, the supply-demand relationship of each resource in P2P content delivery system are often unbalanced. Especially after a popular content releasing, a burst of downloaders often can't find sufficient uploaders and their request may starve the upload capacity of server. Therefore the overall system QoS may be degraded. To tackle such issue, this paper proposes a download rate accelerate mechanism, called motivate mechanism. With it, the system can quickly find out the files becoming insufficient by monitoring the operating status of the files hourly. Then it promptly increase the number of copies of those files by using free rider nodes so that the whole system QoS is maintained and the system performance is improved. The experiment results on the practical operating system of Tencent demonstrated that the proposed mechanism increases the download rate, saves the traffic on the server and optimizes the system performance.
机译:由于缺乏有效的资源调整方法,P2P内容交付系统中每种资源的供求关系常常不平衡。特别是在流行的内容发布之后,大量的下载者经常找不到足够的上传者,并且他们的请求可能会饿死服务器的上传能力。因此,整个系统的QoS可能会降低。为了解决这一问题,本文提出了一种下载速率加速机制,称为激励机制。有了它,系统可以每小时监视一次文件的运行状态,从而迅速发现文件不足。然后,它通过使用免费乘员节点迅速增加这些文件的副本数,从而维护了整个系统的QoS,并提高了系统性能。在腾讯的实际操作系统上的实验结果表明,该机制提高了下载速率,节省了服务器流量,并优化了系统性能。

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