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Packet classification using rule caching

机译:使用规则缓存的数据包分类

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摘要

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.
机译:随着光学技术的部署,Internet链接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。已经开发了不同的分组分类方案,但是由于分类复杂并且存储器缓慢,因此它们需要许多存储器访问。我们遵循在计算机系统中为高速缓存提供支持的方法,以支持数据包分类方案。在这里,我们提出了一种基于内存缓存的方案来支持数据包分类。该方案不仅利用更快,更小的存储器,而且减少了执行分组分类的存储器访问次数。它可以使所采用的分类方案的性能独立于连接流的数量。我们介绍了用于执行分类的各种数据包分类缓存方案,并提供了使用Classbench生成的各种流量模型的缓存命中率结果。

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