Fast IP Table Lookup Construction Using Lexicographic Prefix Ordering

L. Hiryanto, S. Soh, S. Rai, R. Gopalan
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引用次数: 1

Abstract

Crescenzi et al. have proposed a fast full-expansion-compression (FEC) technique that requires exactly three memory accesses for each IP lookup. However, prefix updates on their FEC scheme require the forwarding table data structure to be rebuilt from scratch. Therefore, fast table reconstruction is important to make the scheme effective for use in a dynamic environment. In this paper, we propose an efficient technique to reduce the FEC table construction time. Our approach generates the RLE sequences for the forwarding table directly from a list of decreasing lexicographic ordered prefixes to avoid the expansion step of the previous technique. We also propose an improved unification technique to construct the FEC tables more efficiently. Our approach has been implemented in C, and several experiments using six databases from some real IPv4 router show that our proposed technique runs 4 to 29 times faster than the previous technique
使用字典前缀排序的快速IP表查找构造
Crescenzi等人提出了一种快速的全扩展压缩(FEC)技术,每次IP查找只需要三次内存访问。但是,对FEC方案的前缀更新需要从头开始重建转发表数据结构。因此,为了使该方案在动态环境中有效地使用,快速表重建非常重要。在本文中,我们提出了一种有效的技术来减少FEC表的构建时间。我们的方法直接从按字典顺序递减的前缀列表中生成转发表的RLE序列,从而避免了前面技术的扩展步骤。我们还提出了一种改进的统一技术,以更有效地构建FEC表。我们的方法已经在C语言中实现,并且使用来自某个真实IPv4路由器的六个数据库进行的几次实验表明,我们提出的技术比以前的技术快4到29倍
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