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Performance prediction method for longest prefix matching algorithms based on flow analysis

机译:基于流量分析的最长前缀匹配算法的性能预测方法

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摘要

Many address lookup methods on IP routers to improve a packet forwarding capability have been recently proposed, but their performance prediction is very limited because of lack of considering actual traffic characteristics in their evaluations. It is necessary to consider actual traffic to predict more realistic performances on routers, specially in case of layers 3 and 4 switches whose performances are more influenced by flow characteristic. In this paper, we propose new methods for predicting the router's performance based on the statistical analysis of the Internet traffic. We also present an example of its application to the existing table lookup algorithm, and show that simulation results based on our method can provide accurate performance prediction.
机译:最近提出了许多关于IP路由器的地址查找方法,以提高数据包转发能力,但它们的性能预测非常有限,因为缺乏考虑其评估中的实际交通特征。 有必要考虑实际流量来预测路由器上的更现实的表现,特别是在图层3和4个开关的情况下,其性能更加受流动特性的影响。 在本文中,我们提出了基于互联网流量的统计分析来预测路由器性能的新方法。 我们还向现有表查找算法展示了其应用程序的示例,并显示了基于我们方法的仿真结果可以提供准确的性能预测。

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