长度感知的杜鹃过滤器,更快的IP查找

Minseok Kwon, P. Reviriego, S. Pontarelli
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引用次数: 22

摘要

杜鹃过滤器是一种高效的数据结构,它提供了近似的集成员测试,并解决了布隆过滤器的一些缺点,如删除和空间开销。由于布隆过滤器在IP查找中的应用,以及路由器上的快速数据包处理,我们提出了一种新的过滤器,称为长度感知杜鹃过滤器(LACF),用于在有限的额外存储需求下更快地进行IP查找。LACF根据路由表项的前缀长度流行度,使用不同数量的哈希函数来存储和搜索表项。我们的初步结果表明,LACF将IP查找的误报率降低了两倍,而存储增量不到1%。在未来的工作中,我们将在真实网络路由器中实现LACF,并验证其作为IP报文转发机制的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A length-aware cuckoo filter for faster IP lookup
A cuckoo filter is a highly efficient data structure that provides approximate set-membership testing and addresses some drawbacks of a Bloom filter such as deletion and space overhead. Motivated by the application of Bloom filters to IP lookup, and in general, fast packet processing at routers, we propose a new filter called a length-aware cuckoo filter (LACF), for faster IP lookup with limited extra storage requirement. LACF uses different numbers of hash functions to store and search for entries based on the prefix length popularity of routing entries. Our preliminary results show that LACF reduces the false positive rates for IP lookup by a factor of up to two, with less than 1% storage increase. As future work, we will implement LACF in real network routers, and validate its effectiveness as an IP packet forwarding mechanism.
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