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Packet Classification using Rule Caching

机译:使用规则缓存分组分类

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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:Internet链接上的数据速率随着光学技术的部署而继续增加。进入高速网络的数据包需要快速归类。已经开发出不同的数据包分类方案,但它们需要许多内存访问,因为分类是复杂的并且内存慢。我们遵循向计算机系统中提供快速存储器的支持,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分组分类。该方案不仅利用更快和更小的存储器,而且还减少了对执行分组分类的存储器访问数量。它可以使采用的分类方案的性能独立于连接流量。我们展示了用于执行分类的各种数据包分类缓存方案,并为使用ClassBench生成的各种流量模型提供缓存命中率结果。

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