A long-range dependent model for Internet traffic with power transformation |
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Authors: | Liu Z Almhana J Choulakian V McGorman R |
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Affiliation: | Moncton Univ., NB, Canada; |
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Abstract: | Internet traffic has been shown to have long-range dependence, and is often modeled by using the fractional Gaussian noise model. The fractional Gaussian noise model can capture the autocorrelation of a real trace, but cannot fit the marginal distribution when the trace has a non-Gaussian marginal distribution. In this letter, we use the inverted Box-Cox transformation to establish a long-range dependent Internet traffic model that can simultaneously capture both the long-range dependence parameter and the marginal distribution of a real trace. |
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