优化哈希查找布隆过滤器基于包路由

Dagang Li, Pei Chen
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引用次数: 5

摘要

作为一种高效的成员测试数据结构,Bloom过滤器在现代数据网络中得到了广泛的应用,包括基于ip网络的高速分组路由以及未来以数据为中心的网络。在分组路由中,Bloom过滤器主要用于预处理传入路由查询,以尽量减少在主路由表中不必要的查找,因为后者通常以哈希表的形式存储在缓慢的片外内存中,因为它的大小很大。本文提出了一种优化的哈希查找方案,利用前面的布隆过滤器来获得更好的转发性能和可用性。在“汇总向量”的帮助下,Bloom过滤器的内部哈希计算在路由表的操作中被重用,以获得快速的单次访问表查找。与以前的工作相比,我们的方案实现了更高的空间效率、更少的计算开销、更确定的查找性能和更简单的更新过程。仿真结果验证了该方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized Hash Lookup for Bloom Filter Based Packet Routing
As an efficient data structure for membership testing, the Bloom filter has found wide applications in modern day data networks, including high-speed packet routing for IPbased networks as well as future data-centric networks. In packet routing, Bloom filters are mainly used to pre-process incoming routing queries so as to minimize unnecessary lookups in the main routing table, as the latter is normally stored in slow off chip memory in the form of a hash table due to its large size. In this paper an optimized hash lookup scheme is proposed to utilize the preceding Bloom filter for better forwarding performance and usability. With the help of a 'summary vector', internal hash calculations of the Bloom filter are reused in the operations of the routing table to get fast single-access table lookup. Compared with previous work, our scheme achieves improved space efficiency, less calculation overhead, more deterministic lookup performance, and simpler update procedures. The performance of our scheme is confirmed by simulations.
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