Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime Organization
The issue of energy management is considered as one of the main concerns in cloud computing systems to support the rapid growth of data centers and computing Becomes. Dynamic voltage and frequency scaling strategies focus on reducing energy consumption as well as optimizing efficiency parameters. In...
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University of Qom
2023-09-01
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| Series: | مدیریت مهندسی و رایانش نرم |
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| Online Access: | https://jemsc.qom.ac.ir/article_2162_c473b7a5b84ece6fc187317f34605064.pdf |
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| author | Hamed Ghorbani Behnam Barzegar Mousa Nazari |
| author_facet | Hamed Ghorbani Behnam Barzegar Mousa Nazari |
| author_sort | Hamed Ghorbani |
| collection | DOAJ |
| description | The issue of energy management is considered as one of the main concerns in cloud computing systems to support the rapid growth of data centers and computing Becomes. Dynamic voltage and frequency scaling strategies focus on reducing energy consumption as well as optimizing efficiency parameters. In this paper, we present an energy-conscious and reliable three-step scheduling algorithm called ERADVFS using the DVFS technique on a cloud center processor with dynamic voltage and frequency scaling capability. The goal of this algorithm is to consume the least amount of energy while ensuring reliability and limited task scheduling. In the first step, we determine the worst execution time of each task in each virtual machine of that type on each frequency level. Then in the next step, we divide the deadline for doing the work between the tasks. Finally, by assigning the DVFS technique, we assign tasks to the best virtual machine. The main idea in selecting a virtual machine is to take advantage of the extended amount of runtime to reduce the frequency of the virtual machine. |
| format | Article |
| id | doaj-art-fa842d5407914ffeb453a535bae63b8b |
| institution | Kabale University |
| issn | 2538-6239 2538-2675 |
| language | fas |
| publishDate | 2023-09-01 |
| publisher | University of Qom |
| record_format | Article |
| series | مدیریت مهندسی و رایانش نرم |
| spelling | doaj-art-fa842d5407914ffeb453a535bae63b8b2025-01-30T20:18:53ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752023-09-01911401612162Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime OrganizationHamed Ghorbani0Behnam Barzegar1Mousa Nazari2University College of Rouzbahan, Sari, Iran. Email: hamed.ghorbani67@gmail.comFaculty of Computer Engineering, Islamic Azad University, Babol Branch, Babol, Iran. Email: barzegar@baboliau.ac.irFaculty of Computer Engineering, University College of Rouzbahan, Sari, Iran. Email: nazari.mousa@gmail.comThe issue of energy management is considered as one of the main concerns in cloud computing systems to support the rapid growth of data centers and computing Becomes. Dynamic voltage and frequency scaling strategies focus on reducing energy consumption as well as optimizing efficiency parameters. In this paper, we present an energy-conscious and reliable three-step scheduling algorithm called ERADVFS using the DVFS technique on a cloud center processor with dynamic voltage and frequency scaling capability. The goal of this algorithm is to consume the least amount of energy while ensuring reliability and limited task scheduling. In the first step, we determine the worst execution time of each task in each virtual machine of that type on each frequency level. Then in the next step, we divide the deadline for doing the work between the tasks. Finally, by assigning the DVFS technique, we assign tasks to the best virtual machine. The main idea in selecting a virtual machine is to take advantage of the extended amount of runtime to reduce the frequency of the virtual machine.https://jemsc.qom.ac.ir/article_2162_c473b7a5b84ece6fc187317f34605064.pdfgreen cloud computingtask schedulingports and maritime organization data centerenergy consumption |
| spellingShingle | Hamed Ghorbani Behnam Barzegar Mousa Nazari Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime Organization مدیریت مهندسی و رایانش نرم green cloud computing task scheduling ports and maritime organization data center energy consumption |
| title | Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime Organization |
| title_full | Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime Organization |
| title_fullStr | Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime Organization |
| title_full_unstemmed | Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime Organization |
| title_short | Energy Aware Management for Tasks Scheduling Using Dynamic Voltage and Frequency Scaling Techniques in Cloud Data Centers - A Case Study in the Ports and Maritime Organization |
| title_sort | energy aware management for tasks scheduling using dynamic voltage and frequency scaling techniques in cloud data centers a case study in the ports and maritime organization |
| topic | green cloud computing task scheduling ports and maritime organization data center energy consumption |
| url | https://jemsc.qom.ac.ir/article_2162_c473b7a5b84ece6fc187317f34605064.pdf |
| work_keys_str_mv | AT hamedghorbani energyawaremanagementfortasksschedulingusingdynamicvoltageandfrequencyscalingtechniquesinclouddatacentersacasestudyintheportsandmaritimeorganization AT behnambarzegar energyawaremanagementfortasksschedulingusingdynamicvoltageandfrequencyscalingtechniquesinclouddatacentersacasestudyintheportsandmaritimeorganization AT mousanazari energyawaremanagementfortasksschedulingusingdynamicvoltageandfrequencyscalingtechniquesinclouddatacentersacasestudyintheportsandmaritimeorganization |