Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environment
Cloud computing is a hybrid paradigm which makes use of utility computing, high performance cluster computing and grid computing and it offers various benefits such as flexibility, expandability, little or almost no capital investment, disaster recovery, moveable work space and much more. However, d...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-09-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157817302264 |
| _version_ | 1819160625745494016 |
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| author | Bela Shrimali Hiren Patel |
| author_facet | Bela Shrimali Hiren Patel |
| author_sort | Bela Shrimali |
| collection | DOAJ |
| description | Cloud computing is a hybrid paradigm which makes use of utility computing, high performance cluster computing and grid computing and it offers various benefits such as flexibility, expandability, little or almost no capital investment, disaster recovery, moveable work space and much more. However, due to constantly increasing number of data centers worldwide, the issue of energy consumption by these data centers has attracted attention of researchers. Resource allocation and resource utilization are the major criterion in which the problem of energy efficiency can be addressed. In this research, we aim to provide energy-efficient resource allocation using Multi-Objective Optimization (MOO) method. Further, We propose MOO-based virtual machine (VM) allocation policy and implement it in CloudSim environment. The results are compared with existing policies. The results depict that MOO-based policy leads to saving in energy due to efficient resource allocation, without compromising performance of data center operations. |
| first_indexed | 2024-12-22T16:59:26Z |
| format | Article |
| id | doaj.art-bff2006110cc4fb1923bbf0df3141bc4 |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-12-22T16:59:26Z |
| publishDate | 2020-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-bff2006110cc4fb1923bbf0df3141bc42022-12-21T18:19:22ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782020-09-01327860869Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environmentBela Shrimali0Hiren Patel1C.U. Shah University, Wadhwan City, Surendranagar, Gujarat 363030, India; LDRP Institute of Technology and Research, Gandhinagar, Gujarat, India; Corresponding author at: LDRP Institute of Technology and Research, Gandhinagar, Gujarat, India.LDRP Institute of Technology and Research, Gandhinagar, Gujarat, IndiaCloud computing is a hybrid paradigm which makes use of utility computing, high performance cluster computing and grid computing and it offers various benefits such as flexibility, expandability, little or almost no capital investment, disaster recovery, moveable work space and much more. However, due to constantly increasing number of data centers worldwide, the issue of energy consumption by these data centers has attracted attention of researchers. Resource allocation and resource utilization are the major criterion in which the problem of energy efficiency can be addressed. In this research, we aim to provide energy-efficient resource allocation using Multi-Objective Optimization (MOO) method. Further, We propose MOO-based virtual machine (VM) allocation policy and implement it in CloudSim environment. The results are compared with existing policies. The results depict that MOO-based policy leads to saving in energy due to efficient resource allocation, without compromising performance of data center operations.http://www.sciencedirect.com/science/article/pii/S1319157817302264Power efficiencyOptimizationResource allocationResource utilizationCloud |
| spellingShingle | Bela Shrimali Hiren Patel Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environment Journal of King Saud University: Computer and Information Sciences Power efficiency Optimization Resource allocation Resource utilization Cloud |
| title | Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environment |
| title_full | Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environment |
| title_fullStr | Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environment |
| title_full_unstemmed | Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environment |
| title_short | Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environment |
| title_sort | multi objective optimization oriented policy for performance and energy efficient resource allocation in cloud environment |
| topic | Power efficiency Optimization Resource allocation Resource utilization Cloud |
| url | http://www.sciencedirect.com/science/article/pii/S1319157817302264 |
| work_keys_str_mv | AT belashrimali multiobjectiveoptimizationorientedpolicyforperformanceandenergyefficientresourceallocationincloudenvironment AT hirenpatel multiobjectiveoptimizationorientedpolicyforperformanceandenergyefficientresourceallocationincloudenvironment |