Estimation of Hurst Parameter by Variance-time Plots Based on Data Blocks Range Selection

In this article, major methods of Hurst parameter estimation of self-similar network traffic are introduced and compared. Variance-time plots method is studied in particular detail; both theoretical analysis and experiment suggest that estimation results depend largely on data blocks range selection. Possible causes of this dependence are discussed, and an empirical formula for data blocks range selection is proposed, which increases estimation precision.