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Performance improvement of two-dimensional packet classification by filter rephrasing

机译:通过滤波器改述实现二维数据包分类的性能提升

摘要

Packet classification categorizes incoming packets into multiple forwarding classes in a router based on predefined filters. It is important in fulfilling the requirements of differentiated services. To achieve fast packet classification, a new approach, namely "filter rephrasing," is proposed to encode the original filters by exploiting the hierarchical property of the filters. Filter rephrasing could dramatically reduce the search and storage complexity incurred in packet classification. We incorporate a well-known scheme-rectangle search-with filter rephrasing to improve the lookup speed by at least a factor of 2 and decreases 70% of the storage expenses. As compared With other existing schemes, the proposed scheme exhibits a better balance between speed, storage, and computation complexity. Consequently, the scalable effect of filter rephrasing is suitable for backbone routers with a great number of filters.
机译:数据包分类基于预定义的过滤器将进入的数据包归类为路由器中的多个转发类。这对于满足差异化服务的要求很重要。为了实现快速的分组分类,提出了一种新的方法,即“过滤器重述”,通过利用过滤器的分层特性来对原始过滤器进行编码。过滤器改写可以显着降低数据包分类中的搜索和存储复杂性。我们合并了一个著名的方案-矩形搜索-带过滤器改写功能,以将查找速度提高至少2倍,并减少了70%的存储费用。与其他现有方案相比,该方案在速度,存储和计算复杂度之间表现出更好的平衡。因此,过滤器重定的可扩展性效果适用于具有大量过滤器的骨干路由器。

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