摘要： 具体分析了两个参数的自回归预测模型。通过分析数据源NLANR 给出的真实网络流量数据，比较SCV 和分组数的预测效果，以及对网络流量估计的影响。通过大量模拟实验和数据分析得出了文献[1]预测模型中相关参数结果，对于在网络流量测量中真正应用该模型提供了重要依据。
关键词:
SCV；分组数；自回归预测；采样
Abstract: This paper analyzes the auto-regressive prediction model of the two parameters. It makes a comparison between the SCV and packet number prediction effect of real traffic load of NLANR and the effect on the total traffic load estimation. By a lot of simulation experiments and analysis of data, gets the two parameters value in the prediction model, which is very important in traffic measurement
Key words:
SCV; Packet number; Auto-regressive prediction; Sampling
肖雪峰，王建新，陈建二. 网络流量测量中相关参数的自回归预测分析[J]. 计算机工程, 2006, 32(6): 130-133.
XIAO Xuefeng, WANG Jianxin, CHEN Jianer. Correlative Parameters’ Analysis of Auto-regressive Prediction in Traffic Load’s Measurement[J]. Computer Engineering, 2006, 32(6): 130-133.