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Efficient Prefix Updates for IP Router Using Lexicographic Ordering and Updatable Address Set

机译:使用字典顺序和可更新地址集的IP路由器高效前缀更新

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Dynamic IP router table schemes, proposed in the literature, perform an IP lookup or an on-line prefix update in O(log n) memory accesses. In term of lookup time, they are still slower than FEC (CNHA/CWA) scheme, which requires exactly (at most) three memory accesses for each lookup, irrespective of the number of prefixes n. The prefix update in FEC (CNHA/CWA) has a drawback: Off-line solutions need structure reconstruction, or implementing on-line prefix updates is difficult. This paper solves this problem. We propose the use of lexicographic ordered prefixes to reduce off-line construction time. Simulations on several real routing databases, run on the same platform, show that our approach constructs FEC (CNHA/CWA) tables in 2.56 to 7.74 (1.56 to 2.7) times faster than that from previous techniques. Our on-line update scheme uses an updatable-address-set and selectively decompresses the FEC and CNHA/CWA structures to modify only the next-hops of the addresses in the set. Recompressing the updated structures, the resulting tables are identical to what would have been obtained by structure reconstructions, but at much lower computational cost. Our on-line update for FEC (CNHA/CWA) scheme takes at most 10.1 (7.21) -Ýs, which is of same order as achieved by the recently proposed schemes.
机译:文献中提出的动态IP路由器表方案在O(log n)存储器访问中执行IP查找或在线前缀更新。在查找时间方面,它们仍然比FEC(CNHA / CWA)方案慢,而FEC方案对于每个查找恰好(最多)需要三个内存访问,而与前缀n的数量无关。 FEC(CNHA / CWA)中的前缀更新有一个缺点:离线解决方案需要结构重建,否则很难实现在线前缀更新。本文解决了这个问题。我们建议使用字典顺序前缀以减少离线构建时间。在同一平台上运行的几个真实路由数据库上的仿真表明,我们的方法构造FEC(CNHA / CWA)表的速度是以前技术的2.56至7.74(1.56至2.7)倍。我们的在线更新方案使用一个可更新的地址集,并选择性地对FEC和CNHA / CWA结构进行解压缩,以仅修改该地址集中的下一跳。重新压缩更新后的结构,结果表与通过结构重建获得的表相同,但是计算成本低得多。我们对FEC(CNHA / CWA)方案的在线更新最多需要10.1(7.21)-µs,这与最近提出的方案所实现的顺序相同。

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