A Study of the Daily Variation in the Self - Similarity of Real Data
نویسنده
چکیده
In the last few years the discovery of the self-similar nature of packet traac has highlighted the need for the estimation of parameters quantifying scaling phenomenon, such as the Hurst parameter. An important practical question concerns the variation of the Hurst parameter with time. The on-line real-time version of the wavelet based estimator of Abry and Veitch, which allows data of unlimited length to be analysed, was used to collect almost 6 months of Ethernet data. The question of the diurnal variation of the Hurst parameter is investigated in detail, and its correlation with network load.
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