Investigation of Self-similar Properties of Additive Data Traffic

Published 11 Apr 2019 in cs.NI and physics.soc-ph | (1904.05925v1)

Abstract: The work presents results of numerical study of self-similar properties of additive data traffic. It is shown that the value of Hurst exponent of total stream is determined by the maximum value of Hurst exponent of summed streams and the ratio of variation coefficient of stream with maximum Hurst exponent and other ones.

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