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

机译:基于流分析的最长前缀匹配算法性能预测方法

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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:最近已经提出了许多用于提高分组转发能力的IP路由器上的地址查找方法,但是由于其评估中没有考虑实际的流量特性,因此它们的性能预测非常有限。有必要考虑实际流量以预测路由器上更实际的性能,特别是在第3层和第4层交换机的性能受流量特性影响更大的情况下。在本文中,我们提出了基于Internet流量的统计分析来预测路由器性能的新方法。我们还给出了其在现有表查找算法中的应用示例,并表明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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