Packet classification using rule caching

Nitesh B. Guinde, R. Rojas-Cessa, Sotirios G. Ziavras
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引用次数: 4

Abstract

Data rates on Internet links keep increasing with the deployment of optical technology. Packets coming into highspeed networks need to be classified quickly. Different packet classification schemes have been developed but they require a number of memory accesses as classification is complex and memory is slow. We follow the approach of providing support with fast memory, as cache, in computer systems, to support packet classification schemes. Here, we propose a scheme based on memory cache to support packet classification. The scheme not only makes use of faster and smaller memories but also reduces the number of memory accesses to perform packet classification. It can make the performance of the adopted classification scheme independent of the number of connection flows. We present various packet-classification caching schemes for performing classification and provide the cache hit ratio results for various traffic models generated with Classbench.
使用规则缓存的包分类
随着光学技术的应用,互联网链路上的数据速率不断提高。进入高速网络的数据包需要快速分类。不同的分组分类方案已经开发出来,但由于分类复杂且存储速度慢,它们需要大量的内存访问。我们遵循在计算机系统中提供快速存储器(如缓存)来支持包分类方案的方法。在此,我们提出了一种基于内存缓存的数据包分类方案。该方案不仅利用了更快、更小的内存,而且减少了对内存的访问次数来进行分组分类。它可以使所采用的分类方案的性能与连接流的数量无关。我们提出了各种数据包分类缓存方案来执行分类,并提供了使用Classbench生成的各种流量模型的缓存命中率结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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