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A motivate mechanism for large-scale P2P content delivery system

机译:大型P2P内容分发系统的激励机制

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Due to the inefficient resource adjustment, the current P2P file sharing systems cannot achieve the balanced relationship between supply and demand over the resources. 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 increases 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:由于资源调整效率低下,当前的P2P文件共享系统无法实现资源供需之间的平衡关系。尤其是在发布受欢迎的内容之后,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。为了解决这个问题,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,从而迅速找出不足的文件。然后,通过使用搭便车节点迅速增加这些文件的副本数,从而维持整个系统的QoS,并提高系统性能。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度,节省了服务器流量,并优化了系统性能。

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