摘要
传统的网络流量模型很多时候不符合实际的网络流量情况,本文提出了基于小波变换的自相似网络流量生成方法。通过分析Web日志得到时间数据,对其进行小波变换,使用滤波器对小波变换后的系数进行处理,最后对处理后的系数进行逆小波变换,重构出网络流量数据。实验结果表明,得到的网络流量具有很好的自相似性,可以有效地用于Web测试。
Self-similar network traffic can not be generated by traditional network traffic model.It is generated in this paper by wavelet transform.First,we analyze the Web log file and get time data.Secondly,we use wavelet transform to deal with the data.By filtering and inverse wavelet transform,network traffic with self-similarity can be generated.Experimental results show that network traffic generated by the method accords with the real situation.It can be used in Web testing effectively.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第z1期447-448,共2页
Chinese Journal of Scientific Instrument
关键词
软件测试
网络流量
小波变换
WEB
software testing network traffic wavelet transform Web
