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Cluster Based Analysis of IPv6 Network Traffic

机译:基于集群的IPv6网络流量分析

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摘要

Classical IPv6 network traffic analysis system is built on one or more physical servers. It has low analysis efficiency, large process delay, and it could not reach the real-time demand. Cluster based IPv6 network traffic analysis system is composed of Front-analysis Node, Controller Node, Back-analysis Node and Data Warehouse Node. The functions of cluster-based analysis system are traffic collection, real-time analysis and off-line traffic analysis. Experimental results show that the Average Waiting Time (AWT) for jobs in case of Service Cluster is comparatively lesser with respect to Physical Server, and the Service Cluster shortens the service failover time by 89.8%.
机译:经典的IPv6网络流量分析系统建立在一台或多台物理服务器上。它的分析效率低,过程延迟大,无法满足实时需求。基于集群的IPv6网络流量分析系统由前端分析节点,控制器节点,后端分析节点和数据仓库节点组成。基于集群的分析系统的功能是流量收集,实时分析和离线流量分析。实验结果表明,与物理服务器相比,在服务群集的情况下作业的平均等待时间(AWT)相对较短,并且服务群集将服务故障转移时间缩短了89.8%。

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