  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.
