A performance optimization model of task scheduling towards green cloud computing
Cloud computing becomes a powerful trend in the development of ICT services. It allows dynamic resource scaling from infinite resource pool for supporting Cloud users. Such scenario leads to necessity of larger size of computing infrastructure and increases processing power. Demand on the cloud comp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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The Society of Digital Information and Wireless Communications
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/54894/ http://psasir.upm.edu.my/id/eprint/54894/1/A%20performance%20optimization%20model%20of%20task%20scheduling%20towards%20green%20cloud%20computing.pdf |
| _version_ | 1848852659809812480 |
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| author | Hussin, Masnida Raja Mahmood, Raja Azlina Husin, Nor Azura Mohd. Norowi, Noris |
| author_facet | Hussin, Masnida Raja Mahmood, Raja Azlina Husin, Nor Azura Mohd. Norowi, Noris |
| author_sort | Hussin, Masnida |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Cloud computing becomes a powerful trend in the development of ICT services. It allows dynamic resource scaling from infinite resource pool for supporting Cloud users. Such scenario leads to necessity of larger size of computing infrastructure and increases processing power. Demand on the cloud computing is continually growth that makes it changes to scope of green cloud computing. It aims to reduce energy consumption in Cloud computing while maintaining a better performance. However, there is lack of performance metric that analyzing trade-off between energy consumption and performance. Considering high volume of mixed users’ requirements and diversity of services offered; an appropriate performance model for achieving better balance between Cloud performance and energy consumption is needed. In this work, we focus on green Cloud Computing through scheduling optimization model. Specifically, we investigate a relationship between performance metrics that chosen in scheduling approaches with energy consumption for energy efficiency. Through such relationship, we develop an energy-based performance model that provides a clear picture on parameter selection in scheduling for effective energy management. We believed that better understanding on how to model the scheduling performance will lead to green Cloud computing. |
| first_indexed | 2025-11-15T10:41:36Z |
| format | Article |
| id | upm-54894 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:41:36Z |
| publishDate | 2016 |
| publisher | The Society of Digital Information and Wireless Communications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-548942018-06-12T02:20:37Z http://psasir.upm.edu.my/id/eprint/54894/ A performance optimization model of task scheduling towards green cloud computing Hussin, Masnida Raja Mahmood, Raja Azlina Husin, Nor Azura Mohd. Norowi, Noris Cloud computing becomes a powerful trend in the development of ICT services. It allows dynamic resource scaling from infinite resource pool for supporting Cloud users. Such scenario leads to necessity of larger size of computing infrastructure and increases processing power. Demand on the cloud computing is continually growth that makes it changes to scope of green cloud computing. It aims to reduce energy consumption in Cloud computing while maintaining a better performance. However, there is lack of performance metric that analyzing trade-off between energy consumption and performance. Considering high volume of mixed users’ requirements and diversity of services offered; an appropriate performance model for achieving better balance between Cloud performance and energy consumption is needed. In this work, we focus on green Cloud Computing through scheduling optimization model. Specifically, we investigate a relationship between performance metrics that chosen in scheduling approaches with energy consumption for energy efficiency. Through such relationship, we develop an energy-based performance model that provides a clear picture on parameter selection in scheduling for effective energy management. We believed that better understanding on how to model the scheduling performance will lead to green Cloud computing. The Society of Digital Information and Wireless Communications 2016-01 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54894/1/A%20performance%20optimization%20model%20of%20task%20scheduling%20towards%20green%20cloud%20computing.pdf Hussin, Masnida and Raja Mahmood, Raja Azlina and Husin, Nor Azura and Mohd. Norowi, Noris (2016) A performance optimization model of task scheduling towards green cloud computing. International Journal of New Computer Architectures and Their Applications, 6 (1). pp. 1-8. ISSN 2412-3587; ESSN: 2220-9085 10.17781/P002026 |
| spellingShingle | Hussin, Masnida Raja Mahmood, Raja Azlina Husin, Nor Azura Mohd. Norowi, Noris A performance optimization model of task scheduling towards green cloud computing |
| title | A performance optimization model of task scheduling towards green cloud computing |
| title_full | A performance optimization model of task scheduling towards green cloud computing |
| title_fullStr | A performance optimization model of task scheduling towards green cloud computing |
| title_full_unstemmed | A performance optimization model of task scheduling towards green cloud computing |
| title_short | A performance optimization model of task scheduling towards green cloud computing |
| title_sort | performance optimization model of task scheduling towards green cloud computing |
| url | http://psasir.upm.edu.my/id/eprint/54894/ http://psasir.upm.edu.my/id/eprint/54894/ http://psasir.upm.edu.my/id/eprint/54894/1/A%20performance%20optimization%20model%20of%20task%20scheduling%20towards%20green%20cloud%20computing.pdf |