Modifications using Circular Shift for a Better Bloom Filter

Myeonghun Kim, Sung-Ryul Kim
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引用次数: 1

Abstract

The Bloom filter is a hash-based data structure that facilitates membership querying. Computation speed of Bloom filter is affected by hash functions that produce hash outputs. Basically, two operations: 'add' and 'query', consists of the Bloom filter. Previous researches have shown advanced computation speed of Bloom filter since the standard Bloom Filter is published. For example, Double Hash Bloom filter, Single Hash Bloom filter, etc. We propose a system that uses less computation than previous works with similar false positive and which is implemented by using a circular bit shift. This method was implemented with faster calculation speed, compared with previous works. Furthermore, experiments which were compared with previous researches and standard Bloom filter. Therefore, we demonstrate that the proposed system computes faster than previous studies with similar false positive rate.
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修改使用圆移位更好的布隆过滤器
Bloom过滤器是一种基于散列的数据结构,便于成员查询。布隆过滤器的计算速度受产生哈希输出的哈希函数的影响。基本上,两个操作:“添加”和“查询”,由布隆过滤器组成。自标准的布隆滤波器问世以来,已有研究表明布隆滤波器的计算速度更快。例如,双散列绽放过滤器,单散列绽放过滤器等。我们提出了一个系统,使用更少的计算比以前的工作与类似的假阳性,并使用圆位移位实现。与以往的工作相比,该方法具有更快的计算速度。并将实验结果与标准布隆滤波进行了比较。因此,我们证明了该系统的计算速度比以前的研究快,并且假阳性率相似。
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