A Cache Architecture for Counting Bloom Filters

M. Ahmadi, Stephan Wong
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引用次数: 17

Abstract

Within packet processing systems, lengthy memory accesses greatly reduce performance. To overcome this limitation, network processors utilize many different techniques, e.g., utilizing multi-level memory hierarchies, special hardware architectures, and hardware threading. In this paper, we introduce a multi-level memory hierarchy and a special hardware cache architecture for counting Bloom filters that is utilized by network processors and packet processing applications such as packet classification and distributed web caching systems. Based on the value of the counters in the counting Bloom filter, a multi-level cache architecture called the cache counting Bloom filter (CCBF) is presented and analyzed. The results show that the proposed cache architecture decreases the number of memory accesses by at least 51.3% when compared to a standard Bloom filter.
一种用于计数布隆过滤器的缓存架构
在包处理系统中,长时间的内存访问会大大降低性能。为了克服这个限制,网络处理器利用许多不同的技术,例如,利用多级内存层次结构、特殊的硬件体系结构和硬件线程。在本文中,我们介绍了一个多层次的内存层次结构和一个特殊的硬件缓存架构,用于计数布隆过滤器,用于网络处理器和包处理应用程序,如包分类和分布式web缓存系统。基于计数布隆滤波器中计数器的值,提出并分析了一种多级缓存结构——缓存计数布隆滤波器(CCBF)。结果表明,与标准Bloom过滤器相比,所提出的缓存架构减少了至少51.3%的内存访问次数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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