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。
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.
出处
《微电子学与计算机》
CSCD
北大核心
2004年第6期112-114,163,共4页
Microelectronics & Computer
基金
国家"863"计划资助项目(2001AA112111).
关键词
网络流量测量
自适应
动态调整
双抽样
抽样间隔
network traffic measure, self-adaptive, dynamicly adjust, double sampling, sampling interval
