Parallel algorithm of spline-based wavelet transform

Abstract

We consider the issue of loosening heavy-tails in process of analyzing data in queueing theory with using spline wavelet functions. Algorithms of decomposition and reconstruction of sequences of random variables were shown. Options of algorithms paralleling, their advantages and disadvantages were assessed. We research and analyze the results of computational experiment on fixed traffics.