Cluster computing performance in the context of non extensive statistics
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 6
Abstract
This work presents the problem of clusters computing performance in the context of nonextensive statistics. Simulation studies have demonstrated that the cluster computing process is self-similar or long-range dependent and the Hurst coefficient estimation can be used to specify computing performance. The paper presents a comparison of several methods for estimating Hurst coefficient, characterized by simplicity of implementation and convergence results.
Authors and Affiliations
Paweł Dymora
Keywords
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