李旭,王超,尹慰民,周萍.PeakSketch:检测网络流中的top-k流的无偏和通用草图[J].南华大学学报(自然科学版),2024,(2):73~81.[LI Xu,WANG Chao,YIN Weimin,ZHOU Ping.PeakSketch:Unbiased and Generalized Sketch for Detecting top-k Flows in Network Streams[J].Journal of University of South China(Science and Technology),2024,(2):73~81.]
PeakSketch:检测网络流中的top-k流的无偏和通用草图
PeakSketch:Unbiased and Generalized Sketch for Detecting top-k Flows in Network Streams
投稿时间:2023-12-23  
DOI:10.19431/j.cnki. 1673-0062.2024.02.010
中文关键词:  网络流测量  Sketch  无偏估计  top-k流检测  频繁流  重变化流  持久流
英文关键词:network flow measurement  Sketch  unbiased estimation  detecting top-k flows  frequent flows  heavy change flows  persistent flows
基金项目:
作者单位
李旭 南华大学 电气工程学院,湖南 衡阳 421001 
王超 南华大学 电气工程学院,湖南 衡阳 421001 
尹慰民 南华大学 电气工程学院,湖南 衡阳 421001 
周萍 南华大学 电气工程学院,湖南 衡阳 421001 
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中文摘要:
      通过对现有Sketch结构的研究,提出一种新的Sketch结构:PeakSketch,本文将其应用于三种任务:检测top-k频繁流,检测top-k重变化流,检测top-k持久流,从理论上证明了PeakSketch可以提供无偏估计,并且给出了算法的误差界。实验结果表明,PeakSketch的各项性能优秀,在检测top-k频繁流任务中,PeakSketch的吞吐量显著提升,特别是在分配内存小于200 kB以下时,吞吐量最高提升可以达到50%,准确率最高提升一倍,PeakSketch也展现突出的性能。
英文摘要:
      By studying existing sketch structures, this paper proposes a new sketch structure called PeakSketch, which is applied to three tasks:detecting top-k frequent flows, detecting top-k heavy change flows, and detecting top-k persistent flows. Theoretically, it is proven that PeakSketch can provide unbiased estimates, and the algorithm's error is analyzed. Experimental results demonstrate that PeakSketch excels in various performance metrics. In the task of detecting top-k frequent flows, PeakSketch's throughput is significantly enhanced, especially when the allocated memory is less than 200 kB, with throughput improvements of up to 50% and precision improvements of up to double. PeakSketch showcases outstanding performance.
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