International Journal of Engineering and Technology

Multifractal studies have applications in several science and engineering fields with a tendency to increase nowadays. In this paper, it is evaluated a synthetic multifractal trace set generated by a novel algorithm in which the multifractal spectrum width of these signals is manipulated. This algorithm is also developed by the same authors and it is based on multifractal wavelet model (MWM) approach. This evaluation is performed by comparing the synthetic traces with some real traces acquired from Bellcore laboratories database. A timing parameter from queueing theory was measured. The results are promising, the synthetic traces exhibit results with margin errors lower than 5%.