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高速网络流量测量的自适应随机双抽样方法研究
引用本文:陈文海,王换招,赵青萍,魏嵬.高速网络流量测量的自适应随机双抽样方法研究[J].微电子学与计算机,2004,21(6):112-114,163.
作者姓名:陈文海  王换招  赵青萍  魏嵬
作者单位:西安交通大学,电子与信息工程学院,西安,710049
基金项目:国家“863”计划资助项目(2001AA112111).
摘    要:以单点被动测量为背景,提出一种新的抽样方法——自适应随机双抽样,该方法既能兼顾各个参数在统计精度上的平衡,又能随网络流量变化,动态调整抽样间隔。实验结果表明,相对于传统抽样方法,该方法有效提高了抽样测量的精度。

关 键 词:网络流量测量  自适应  动态调整  双抽样  抽样间隔
文章编号:1000-7180(2004)06-112-03

Research of Self-Adaptive Random Double Sampling method on the High-speed Network Traffic Measure
CHEN Wen-hai,WANG Huan-zhao,ZHAO Qing-ping,WEI Wei.Research of Self-Adaptive Random Double Sampling method on the High-speed Network Traffic Measure[J].Microelectronics & Computer,2004,21(6):112-114,163.
Authors:CHEN Wen-hai  WANG Huan-zhao  ZHAO Qing-ping  WEI Wei
Abstract:Author presents new sampling method - Self-Adaptive Random Double Sampling method (SARDS) based on the study of single-point passive sampling measure technology. SARDS not only measures every parameter at a sampling process accurately, but also dynamicly adjusts the sampling interval with the change of the network traffic. Results of experiments indicate that compare with traditional sampling methods, the new sampling method advances the precision of the sampling measure obviously.
Keywords:network traffic measure  self-adaptive  dynamicly adjust  double sampling  sampling interval
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