A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing Systems
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 large-scale computing and data center...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Research Branch,Islamic Azad University
2017-11-01
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| Series: | Journal of Advances in Computer Engineering and Technology |
| Subjects: | |
| Online Access: | http://jacet.srbiau.ac.ir/article_10881_88926cf6a743b2386efc7e2a4a16cfb6.pdf |
| _version_ | 1819209844096237568 |
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| author | Marzieh Bozorgi Elize Ahmad KhademZadeh |
| author_facet | Marzieh Bozorgi Elize Ahmad KhademZadeh |
| author_sort | Marzieh Bozorgi Elize |
| collection | DOAJ |
| description | 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 large-scale 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. |
| first_indexed | 2024-12-23T06:01:44Z |
| format | Article |
| id | doaj.art-67541adefac94052af7dc3beb39f1a8f |
| institution | Directory Open Access Journal |
| issn | 2423-4192 2423-4206 |
| language | English |
| last_indexed | 2024-12-23T06:01:44Z |
| publishDate | 2017-11-01 |
| publisher | Science and Research Branch,Islamic Azad University |
| record_format | Article |
| series | Journal of Advances in Computer Engineering and Technology |
| spelling | doaj.art-67541adefac94052af7dc3beb39f1a8f2022-12-21T17:57:40ZengScience and Research Branch,Islamic Azad UniversityJournal of Advances in Computer Engineering and Technology2423-41922423-42062017-11-013420321210881A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing SystemsMarzieh Bozorgi Elize0Ahmad KhademZadeh1Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Education and International Cooperation, Iran Telecommunication Research Center, Tehran, IranCloud 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 large-scale 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.http://jacet.srbiau.ac.ir/article_10881_88926cf6a743b2386efc7e2a4a16cfb6.pdfCloud computingenergy efficiencyGenetic Algorithm |
| spellingShingle | Marzieh Bozorgi Elize Ahmad KhademZadeh A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing Systems Journal of Advances in Computer Engineering and Technology Cloud computing energy efficiency Genetic Algorithm |
| title | A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing Systems |
| title_full | A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing Systems |
| title_fullStr | A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing Systems |
| title_full_unstemmed | A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing Systems |
| title_short | A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing Systems |
| title_sort | genetic based resource management algorithm considering energy efficiency in cloud computing systems |
| topic | Cloud computing energy efficiency Genetic Algorithm |
| url | http://jacet.srbiau.ac.ir/article_10881_88926cf6a743b2386efc7e2a4a16cfb6.pdf |
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