Multi-dimensional prefix matching using line search

M. Waldvogel
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引用次数: 16

Abstract

With the increasing popularity of firewalls, virtual private networks (VPNs) and quality of service (QoS) routing, packet classification becomes increasingly important in the Internet. The high-performance solutions known so far strongly rely on certain properties of the filter database to match against, such as a small number of distinct prefixes or the absence of conflicts. We present line search as a two-dimensional generalization of the one-dimensional binary search on prefix lengths exploiting the advantage given by the different approach therein. This algorithm also works best on the filter databases that are expected to occur most often, but degrades gracefully when these assumptions no longer hold. We also show how to efficiently extend the algorithm to a complete five-dimensional Internet protocol (IP) and transport header match.
多维前缀匹配使用行搜索
随着防火墙、虚拟专用网(vpn)和服务质量(QoS)路由的日益普及,分组分类在Internet中变得越来越重要。迄今为止已知的高性能解决方案强烈依赖过滤器数据库的某些属性进行匹配,例如少量不同的前缀或没有冲突。我们将行搜索作为一维二进制搜索的二维推广,利用了其中不同方法所具有的优势。该算法在预期最常出现的过滤器数据库上也表现得最好,但是当这些假设不再成立时,它就会优雅地降级。我们还展示了如何有效地将算法扩展到完整的五维互联网协议(IP)和传输头匹配。
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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