| 负载自适应的数据流流量测量算法 |
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| 引用本文： | 黄清杉,张进,顾晓鸣.负载自适应的数据流流量测量算法[J].南京邮电大学学报(自然科学版),2011,31(5):60-65. |
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| 作者姓名： | 黄清杉 张进 顾晓鸣 |
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| 作者单位： | 1. 解放军理工大学通信工程学院,江苏南京,210007
2. 中国电子设备系统工程公司研究所,北京,100039 |
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| 基金项目： | 江苏省自然科学基金(BK2010103)资助项目 |
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| 摘 要： | 针对现有的数据流流量测量算法负载适应性不佳的问题,基于计数型布鲁姆过滤器,提出了一种负载自适应的数据流流量测量算法LACBF(load-adaptive counting bloom filter)。采用真实的网络流量数据,对LACBF算法的性能进行了仿真验证,结果表明,LACBF算法能够在网络流量动态变化的情况下获得比现有算法更小的测量误差。
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| 关 键 词： | 流测量 负载自适应 布鲁姆过滤器 |
Load-adaptive Algorithm for Flow Traffic Measurement |
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| HUANG Qing-shan,ZHANG Jin,GU Xiao-ming.Load-adaptive Algorithm for Flow Traffic Measurement[J].Journal of Nanjing University of Posts and Telecommunications,2011,31(5):60-65. |
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| Authors: | HUANG Qing-shan ZHANG Jin GU Xiao-ming |
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| Institution: | HUANG Qing-shan1,ZHANG Jin1,GU Xiao-ming2( 1.Department of Telecommunications Engineering,PLAUST,Nanjing 210007,China 2.Institute of China Electronic Equipment System Engineering Company,Beijing 100039,China) |
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| Abstract: | Existing flow traffic measurement method has the problem of poor load-adaptive.We proposed a load-adaptive algorithm for flow traffic measurement based on counting bloom filter.The simulation was taken to verify the performance of the algorithm by using the real network traffic data.Simulation shows that,when network traffic was dynamically changed,the algorithm has smaller measurement error than the existing algorithms. |
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| Keywords: | flow measurement load-adaptive Bloom filter |
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