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 downloade...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.展开更多
Peer-to-Peer(P2P)是一种充分利用分布在终端电脑上的边缘性网络资源,包括计算资源、带宽资源、内容资源等,以降低对中央服务器资源的消耗需求的技术,适用于大规模的VoD(video on demand)系统中.基于这样的背景技术,当下诞生了一种很流...Peer-to-Peer(P2P)是一种充分利用分布在终端电脑上的边缘性网络资源,包括计算资源、带宽资源、内容资源等,以降低对中央服务器资源的消耗需求的技术,适用于大规模的VoD(video on demand)系统中.基于这样的背景技术,当下诞生了一种很流行的视频点播系统:Flash P2PVoD.然而使用如此广泛的系统并没有一个有效的措施对其进行监控,以不断提升其自身运行质量.基于此背景,提出一种基于MapReduce并行框架的算法模型,用于对系统的运行状态进行实时高效的监控及异常检测,提升系统的效用性,进行高效的处理分析,将消耗大量计算资源的复杂计算通过网络分布到多节点上进行计算,是当前一种行之有效的解决方案.实验结果表明,基于MapReduce的状态监控及异常检测方法能有效地从大吞吐量系统所产生的海量日志中监测出异常表现.展开更多
This paper presents a P2P VOD system based on RF-IPS algorithm, and this system consists of two parts, server-side and clients. We put emphasis on the piece selection module of server-side, and in this part we cite th...This paper presents a P2P VOD system based on RF-IPS algorithm, and this system consists of two parts, server-side and clients. We put emphasis on the piece selection module of server-side, and in this part we cite the RF-IPS algorithm proposed in the past. In the piece selection module, we also proposed a weighting function except the RF-IPS algorithm. Using this function we will find the best server peers effectively and quickly, it will enhance the performance of this system. We carry on experiments on RF-IPS algorithm, and the results show this algorithm is efficient. Overall, we believe that the RF-IPS algorithm is feasible to further improve system performance and provide a cost-effective P2P VOD service with acceptable user experience.展开更多
基金National Science Foundation Project of P.R.China，China Postdoctoral Science Foundation，the Fundamental Research Funds for the Central Universities
文摘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.
文摘Peer-to-Peer(P2P)是一种充分利用分布在终端电脑上的边缘性网络资源,包括计算资源、带宽资源、内容资源等,以降低对中央服务器资源的消耗需求的技术,适用于大规模的VoD(video on demand)系统中.基于这样的背景技术,当下诞生了一种很流行的视频点播系统:Flash P2PVoD.然而使用如此广泛的系统并没有一个有效的措施对其进行监控,以不断提升其自身运行质量.基于此背景,提出一种基于MapReduce并行框架的算法模型,用于对系统的运行状态进行实时高效的监控及异常检测,提升系统的效用性,进行高效的处理分析,将消耗大量计算资源的复杂计算通过网络分布到多节点上进行计算,是当前一种行之有效的解决方案.实验结果表明,基于MapReduce的状态监控及异常检测方法能有效地从大吞吐量系统所产生的海量日志中监测出异常表现.
文摘This paper presents a P2P VOD system based on RF-IPS algorithm, and this system consists of two parts, server-side and clients. We put emphasis on the piece selection module of server-side, and in this part we cite the RF-IPS algorithm proposed in the past. In the piece selection module, we also proposed a weighting function except the RF-IPS algorithm. Using this function we will find the best server peers effectively and quickly, it will enhance the performance of this system. We carry on experiments on RF-IPS algorithm, and the results show this algorithm is efficient. Overall, we believe that the RF-IPS algorithm is feasible to further improve system performance and provide a cost-effective P2P VOD service with acceptable user experience.
