Algorithm Based on Double Counter Bloom Filter for Large Flows Identification

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 4 种计数型Bloom Filter 的性能分析与比较 DOI: 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: Supported by the National Basic Research Program of China under Grant Nos.2007CB307100, 2007CB307102 (国家重点基础研究 发展计划(973)) Performance Evaluation and Comparison of Four Counting Bloom Filter Schemes Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:对3 种已有的计数型Bloom filter——Na?ve Counting Bloom Filter(NCBF),Space-Code Bloom Filter (SCBF)和d-left Counting Bloom Filter(dlCBF)——的查询错误概率进行了分析,得出了NCBF 的计数器防溢出条件 以及SCBF 和dlCBF 的参数最优设置准则.提出了一种衡量计数型Bloom filter 性能的指标:负载适应性.针对dlCBF 负载适应性差的问题,对dlCBF 进行了改进,提出了一种计数型Bloom filter:Binary Shrinking d-left Counting Bloom Filter(BSdlCBF).通过仿真实验,以计数误差、空间复杂度以及负载适应性为性能指标,对上述4 种CBF 进行了比较. 实验结果表明,BSdlCBF 具有最低的空间复杂度、最小的计数误差以及最佳的负载适应性. BSdlCBF 赢得上述性能 优势的代价在于其计算复杂度比其他3 种计数型Bloom filter 略高. Abstract:The Counting Bloom Filter (CBF) is a space-efficient data structure that extends a Bloom filter so as to allow approximate multiplicity queries on a dynamic multi-set. An in-depth study of three existing CBF schemes is presented, that is, the Na?ve Counting Bloom Filter (NCBF), the Space-Code Bloom Filter (SCBF) and the d-left Counting Bloom Filter (dlCBF). Then, a CBF scheme called Binary Shrinking d-left Counting Bloom Filter (BSdlCBF) is proposed. A performance metrics named load adaptability for CBF schemes is also defined. The performance of the four CBF schemes is evaluated by using metrics of counting error, space complexity and load adaptability under both uniform and Zipfian multiplicity distributions. The experimental results show that the proposed BSdlCBF outperforms the other three in terms of accuracy, space-efficiency and load adaptability. The cost of such an advantage of BSdlCBF is a reasonable rise in computational and space complexity. 参考文献 相似文献 引证文献