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一种新的基于SCBF的流抽样测量算法研究
引用本文:刘渊,刘元珍,李小航.一种新的基于SCBF的流抽样测量算法研究[J].计算机工程与应用,2007,43(29):140-142.
作者姓名:刘渊  刘元珍  李小航
作者单位:江南大学 信息工程学院,江苏 无锡 214122
摘    要:为提高流测量系统的运行效率,减少其所需存储资源,提出了一种改进的测量并维护其流信息的算法——基于拆分型计数Bloom Filters(Split Counting Bloom Filters)的流抽样。该算法采用基于报文的抽样来实现流抽样,不仅可以使用较少系统资源来维护流信息,同时可适用于不同流量的测量点,提高了测量系统的准确性和可扩展性。

关 键 词:Bloomfilters  SCBF  流测量  
文章编号:1002-8331(2007)29-0140-03
修稿时间:2007-02

Study of novel flow sampling method based on SCBF
LIU Yuan,LIU Yuan-zhen,LI Xiao-hang.Study of novel flow sampling method based on SCBF[J].Computer Engineering and Applications,2007,43(29):140-142.
Authors:LIU Yuan  LIU Yuan-zhen  LI Xiao-hang
Affiliation:School of Information Engineering,Southern Yangtze University,Wuxi,Jiangsu 214122,China
Abstract:In order to improve the performance and reduce the resource consumption of flow sampling measurement system,a novel flow sampling method is devised,based on Split Counting Bloom Filters.This method adopts packet sampling to carry out flow sampling,not only reduces the information maintenance resource usage but also can be suitable for measuring points of different traffic,which improves the accuracy and expansibility of the measuring system.
Keywords:Bloom filters  SCBF  flow sampling
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