Self-Similarity and Long-Range Dependence in Teletraffic
نویسنده
چکیده
This paper revisits three important concepts in fractal type network traffic, namely, self-similarity (SS), long-range dependence (LRD), and local self-similarity (LSS). Based on those concepts, we address the reason why the local properties of fractional Gaussian noise (fGn) are contained in the global properties of fGn and vice versa, which may be a limitation of fGn in data traffic modeling. Key-Words: Fractal time series; Network traffic; Fractal dimension; The Hurst parameter.
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