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A Bloom Filter Bank Based Hash Table for High Speed Packet Processing

机译:基于布隆过滤器库的哈希表,用于高速数据包处理

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摘要

The use of hash tables in high speed packet processing applications is widely adopted and many different variants of such structures have been proposed in the literature. Nonetheless, the extremely variegated scenarios of application call for new specialized solutions, to best satisfy their possibly peculiar requirements. In this paper, we propose a randomized approach to the design of compact hash tables for network applications that need to frequently store and access short valued data. The approach is based on the use of a bank of Bloom filters and proves to be very effective both in terms of space occupancy and complexity, at the obvious cost of a non zero error probability.
机译:哈希表在高速分组处理应用中的使用被广泛采用,并且在文献中已经提出了这种结构的许多不同变体。但是,应用程序的多样化情况要求新的专业解决方案,以最好地满足其可能的特殊要求。在本文中,我们提出了一种随机方法,用于需要频繁存储和访问短值数据的网络应用程序的紧凑哈希表设计。该方法基于使用一组Bloom过滤器,并且在空间占用率和复杂性方面都非常有效,并且具有明显的非零错误概率成本。

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