Non-stationary and small-time scaling behavior of internet traffic

被引：1
|
作者：
Lin, Qing-jia [1 ]
Chen, Di [1 ]
Liu, Yun-cai [2 ]
机构：
[1] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Elect & Informat Technol, Shanghai 200030, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年
关键词：
D O I：
10.1109/ICCCAS.2006.285005
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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(1100ms). 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.
引用
收藏
页码：1717 / +
页数：2
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