A feedback based prediction model for real time workload in a cloud
Most of the distributed systems such as a cloud environment have a nondeterministic structure, and it would cause a serious problem to perform tasks with a time limit. Therefore, many prediction models and performance analyzes being used in the cloud to determine environment for users. Nevertheless,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publication Network
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43495/1/A%20feedback%20based%20prediction%20model%20for%20real%20time%20workload%20in%20a%20cloud.pdf |
| _version_ | 1825929374473388032 |
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| author | Ghouchani, Babak Esmaeilpour Abdullah, Azizol Abdul Hamid, Nor Asila Wati Abdul Rahman, Amir Rizaan |
| author_facet | Ghouchani, Babak Esmaeilpour Abdullah, Azizol Abdul Hamid, Nor Asila Wati Abdul Rahman, Amir Rizaan |
| author_sort | Ghouchani, Babak Esmaeilpour |
| collection | UPM |
| description | Most of the distributed systems such as a cloud environment have a nondeterministic structure, and it would cause a serious problem to perform tasks with a time limit. Therefore, many prediction models and performance analyzes being used in the cloud to determine environment for users. Nevertheless, most of these models have a single objective for optimal resource absorption. Which means, they considered just one objective, such as a time limit and other issues are overlooked. In this paper, we proposed a novel model in Cloud to determine environment for the real-time workload. We applied a multi-objective model to absorb optimal resources under reasonable user cost and maximum user sharing. Performance evaluation on CloudSim proves that the new approach outperforms other existing, state-of-the-art methods. |
| first_indexed | 2024-03-06T08:55:50Z |
| format | Article |
| id | upm.eprints-43495 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:55:50Z |
| publishDate | 2016 |
| publisher | Asian Research Publication Network |
| record_format | dspace |
| spelling | upm.eprints-434952018-04-09T04:25:39Z http://psasir.upm.edu.my/id/eprint/43495/ A feedback based prediction model for real time workload in a cloud Ghouchani, Babak Esmaeilpour Abdullah, Azizol Abdul Hamid, Nor Asila Wati Abdul Rahman, Amir Rizaan Most of the distributed systems such as a cloud environment have a nondeterministic structure, and it would cause a serious problem to perform tasks with a time limit. Therefore, many prediction models and performance analyzes being used in the cloud to determine environment for users. Nevertheless, most of these models have a single objective for optimal resource absorption. Which means, they considered just one objective, such as a time limit and other issues are overlooked. In this paper, we proposed a novel model in Cloud to determine environment for the real-time workload. We applied a multi-objective model to absorb optimal resources under reasonable user cost and maximum user sharing. Performance evaluation on CloudSim proves that the new approach outperforms other existing, state-of-the-art methods. Asian Research Publication Network 2016-05-31 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/43495/1/A%20feedback%20based%20prediction%20model%20for%20real%20time%20workload%20in%20a%20cloud.pdf Ghouchani, Babak Esmaeilpour and Abdullah, Azizol and Abdul Hamid, Nor Asila Wati and Abdul Rahman, Amir Rizaan (2016) A feedback based prediction model for real time workload in a cloud. Journal of Theoretical and Applied Information Technology, 87 (3). pp. 365-373. ISSN 1992-8645; ESSN: 1817-3195 |
| spellingShingle | Ghouchani, Babak Esmaeilpour Abdullah, Azizol Abdul Hamid, Nor Asila Wati Abdul Rahman, Amir Rizaan A feedback based prediction model for real time workload in a cloud |
| title | A feedback based prediction model for real time workload in a cloud |
| title_full | A feedback based prediction model for real time workload in a cloud |
| title_fullStr | A feedback based prediction model for real time workload in a cloud |
| title_full_unstemmed | A feedback based prediction model for real time workload in a cloud |
| title_short | A feedback based prediction model for real time workload in a cloud |
| title_sort | feedback based prediction model for real time workload in a cloud |
| url | http://psasir.upm.edu.my/id/eprint/43495/1/A%20feedback%20based%20prediction%20model%20for%20real%20time%20workload%20in%20a%20cloud.pdf |
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