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Paper Information

Journal:   JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY   2017 , Volume 3 , Number 4; Page(s) 203 To 212.

A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing Systems

Author(s):  Bozorgi Elize Marziyeh*, KHADEM ZADEH AHMAD
* Department of Computer Engineering, Science and Research Azad University, Tehran, Iran
Cloud computing is a result of the continuing progress made in the areas of hardware, technologies related to the Internet, distributed computing and automated management. The Increasing demand has led to an increase in services resulting in the establishment of largescale computing and data centers, in addition to high operating costs and huge amounts of electrical power consumption. Insufficient cooling systems and inefficient, causing overheating sources, shortening the life of the machine and too much carbon dioxide is produced. In this paper, we aim to improve system performance; Cloud Computing based on a decrease in migration of among virtual machines (VM), and reduce energy consumption to be able to manage resources to achieve optimal energy efficiency. For this reason, various techniques such as genetic algorithms (GAs), virtual machine migration and ways Dynamic voltage and frequency scaling (DVFS), and resize virtual machines to reduce energy consumption and fault tolerance are used. The main purpose of this article, the allocation of resources with the aim of reducing energy consumption in cloud computing. The results show that reduced energy consumption and hold down the rate of virtual machines breach of contract, reduces migration as well.
Keyword(s): Cloud computing,Energy efficiency,Genetic algorithm
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