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Genetic Algorithm Optimized Network in Cloud Data Centre

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In this paper, we look into an area where a cloud network can be optimized. Past studies showed that the unoptimized network device is a main factor behind interruptions in a cloud network. However, network device optimization in a cloud network has never been done according to our review. Hence, we propose a methodology to optimize the usage of network devices, by simultaneously optimizing the configurations of these devices. The optimization revolves around the combinations of network card parameters configurations. This could be considered a combinatorial problem, which in our methodology is attempted to be solved using genetic algorithm. The generated network card configurations adapt to the typical characteristics of cloud network traffic pattern. Experiments via simulation were conducted using our validated mathematical models. The results of the experiments show the effectiveness of our proposed methodology to enhance network speed in the cloud data centre.

Keywords: Cloud; Genetic Algorithm; Network; Optimization; Parameters Configurations

Document Type: Research Article

Affiliations: Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Perak 32610, Malaysia

Publication date: 01 October 2016

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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