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THE SCALING NATURE OF INTERNET TRAFFIC

    This work was supported by the State 863 Program (2003AA148040), the National Natural Science Foundation of China (grant number 10471151,60216263, 6990312), New Century Excellent Talent Support Project of Chinese Ministry of Education, Doctor Station Foundation of Chinese Ministry of Education, Chongqing Tackle Key Problem Program (CSTC, 2004AC2008) and Chongqing Natural Science Foundation (CSTC, 2004BB2151).

    https://doi.org/10.1142/9789812772763_0085Cited by:0 (Source: Crossref)
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    Abstract:

    We use a wavelet based estimator for the parameter of long-range dependent process to analyze the scaling nature of internet traffic. Wherever and whenever these internet traffic are collected from, they exhibit long-range dependent properties. And the range of Hurst parameter is [0.5,1].