In [13], the framework of wavelets is introduced due to its ability to localize a given signal or time series both in time and scale (or frequency), wavelets provides a powerful and refined technique for detecting and quantifying scaling behavior in measured traffic. Since wavelets are parameterized by scaling parameters, this leads itself naturally to a multi scale representation and analysis of time series.