Luís A. Nunes Amaral

Professor of Engineering Sciences and Applied Mathematics
Professor of Medicine (by courtesy)
Professor of Molecular Biosciences (by courtesy)
Professor of Physics & Astronomy (by courtesy)

Chemical & Biological Engineering
2145 Sheridan Road (Room E136)
Evanston, IL 60208, US
Phone: (847) 491-7850

Dynamics of temporal correlation in daily Internet traffic

Fukuda K, Amaral LAN, Stanley HE
IEEE 2003 Global Communications Conference (GlobeComm 2003), 4069-4073 (2003)
Times cited: 4

Abstract

In order to characterize the dynamics of self-similar behavior in daily Internet traffic, we analyze the time series of traffic volume for 24-hour period in wide-area Internet, by using detrended fluctuation analysis (DFA)-a well-known method of characterizing nonstationarity in a time series. We show that the estimated scaling exponent (which is directly related to the Hurst parameter) of traffic fluctuations has a dependency on the level of human activity for a time scale greater than 30s. Thus, the temporal correlation for traffic fluctuations is close to 1/f-noise during the day, and becomes weaker at night. This result suggests that Internet traffic cannot be modeled using the unique value of the Hurst parameter.