(Enter summary)
Abstract: Recent measurements of various types of network traffic have
shown evidence consistent with long-range dependence and self-similarity.
However, an alternative explanation for these measurements is non-stationarity.
Standard estimators of LRD parameters such as the Hurst parameter
H assume stationarity and are susceptible to bias when this assumption does
not hold. Hence LRD may be indicated by these estimators when none is
present, or alternatively LRD taken to be non-stationarity. The recently ... (Update)
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BibTeX entry: (Update)
M.Roughan, D.Veitch, Measuring Long-Range Dependence under Changing Traffic Conditions, Proceedings of INFOCOM '99 (1999). http://citeseer.ist.psu.edu/article/roughan99measuring.html More
@inproceedings{ roughan99measuring,
author = "Matthew Roughan and Darryl Veitch",
title = "Measuring Long-Range Dependence under Changing Traffic Conditions",
booktitle = "{INFOCOM} (3)",
pages = "1513-1521",
year = "1999",
url = "citeseer.ist.psu.edu/article/roughan99measuring.html" }
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