作者联系方式：Qing-jia Lin,Di Chen(School of Information Science and Engineering Shandong University Jinan, 250100, China)Yun-cai Liu(School of Electronics and Information Technology Shanghai Jiaotong University Shanghai 200030,China)

会议名称：第四届国际通信、电路与系统学术会议

会议地点：广西桂林

召开年：2006

摘要：Scaling behaviors of traffic influence network modeling, service providing and traffic engineering. So it has been the focus of many researches. In this paper, an extensive wavelet analysis is performed to the TCP flows. The results show that the TCP flows exhibit non-stationary and uncorrelated scaling behaviors at the small-time scales(1-100ms). To identify the non-stationary and small-time scaling causing factors,the flow composition of the traffic is analyzed along two dimensions-flow byte contribution and flow density. And the results show the dense flow is the non-stationary and uncorrelated scaling causing factor in small-time scales.