(Enter summary)
Abstract: The last decade has been a very fruitful period in important discoveries
in network traffic modeling, uncovering various scaling
behaviors. Self-similarity, long-range dependence, multifractal behavior
and finally cascades have been studied and convincingly
matched to real traffic. The first purpose of this paper is to provide
a methodology to go beyond the naive analysis of the second-order
wavelet-based estimators of scaling, by performing non-stationarity
checks and relying on the... (Update)
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BibTeX entry: (Update)
S. Uhlig, "Non-stationarity and high-order scaling in tcp flow arrivals: a methodological analysis," ACM Computer Communication Review, vol. 34, no. 2, pp. 9--24, 2004. http://citeseer.ist.psu.edu/uhlig04nonstationarity.html More
@misc{ uhlig04nonstationarity,
author = "S. Uhlig",
title = "Non-stationarity and high-order scaling in tcp flow arrivals: a methodological
analysis",
text = "S. Uhlig, Non-stationarity and high-order scaling in tcp flow arrivals:
a methodological analysis, ACM Computer Communication Review, vol. 34, no.
2, pp. 9--24, 2004.",
year = "2004",
url = "citeseer.ist.psu.edu/uhlig04nonstationarity.html" }
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