ANALYSIS OF DEPENDENCE AMONG SIZE, RATE AND DURATION IN INTERNET FLOWS

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In this paper we examine rigorously the evidence for dependence among data size, transfer rate and duration in Internet flows. We emphasize two statistical approaches for studying dependence, including Pearson's correlation coefficient and the extremal dependence analysis method. We apply these methods to large data sets of packet traces from three networks. Our major results show that Pearson's correlation coefficients between size and duration are much smaller than one might expect. We also find that correlation coefficients between size and rate are generally small and can be strongly affected by applying thresholds to size or duration. Based on Transmission Control Protocol connection startup mechanisms, we argue that thresholds on size should be more useful than thresholds on duration in the analysis of correlations. Using extremal dependence analysis, we draw a similar conclusion, finding remarkable independence for extremal values of size and rate.
Publisher
INST MATHEMATICAL STATISTICS
Issue Date
2010-03
Language
English
Article Type
Article
Citation

ANNALS OF APPLIED STATISTICS, v.4, no.1, pp.26 - 52

ISSN
1932-6157
DOI
10.1214/09-AOAS268
URI
http://hdl.handle.net/10203/285781
Appears in Collection
MA-Journal Papers(저널논문)
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