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
Related Articles
- EP ID EP104667
- DOI -
- Views 130
- Downloads 0
Voice over IP (VOIP) Security Research- A Research
This is a work based on a survey of Voice over IP security research.Goal is to provide a roadmap for researchers seeking to understand existing capabilities and, and to identify gaps in addressing the numerous threats...
Production & Evaluation of Biodiesel from Karanja Seeds, A Seed Plentily Available In Rural Odisha
Energy is playing an important role in the development of economy and society both in developed and developing countries. As concern to the environment & vehicular population lead toward fuel crisis there i...
Effect of SC5D Additive on the Performance and Emission Characteristics of CI Engine
In this experimental work polymer based additive are mixed in different proportions with diesel fuel. Their emissions and performance results are compared with base fuel diesel. By mixing of this additive, it is ob...
Flow Analysis of Butterfly Valve Using CFD
Butterfly valves are widely used in hydro power plants to regulate and control the flow through hydraulic turbines. That’s why it is important to design the valve in such a way that it can give best performance...
SSDA.Analysis - A Class Library for Analysis of Sample Survey Data
Agricultural researchers frequently use sample survey methodologies for estimation of various parameters in crops, livestock, fisheries production and allied fields. Analysis of data generated from these surveys re...