Multi-population ant colony algorithm for virtual machine deployment
With the recent rapid development of cloud computing technology, how to reduce the costs of a cloud data center effectively has become an important issue. The study on virtual machine deployment mainly aims at deploying virtual machine resources required by users on a physical server rationally and...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/87769 http://hdl.handle.net/10220/45513 |
| _version_ | 1826118358684139520 |
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| author | Sun, Xuemei Zhang, Kai Ma, Maode Su, Hua |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Sun, Xuemei Zhang, Kai Ma, Maode Su, Hua |
| author_sort | Sun, Xuemei |
| collection | NTU |
| description | With the recent rapid development of cloud computing technology, how to reduce the costs of a cloud data center effectively has become an important issue. The study on virtual machine deployment mainly aims at deploying virtual machine resources required by users on a physical server rationally and effectively. This paper proposes a multi-population ant colony algorithm to solve problems of virtual machine deployment. With resource wastage and energy consumption as optimization objectives, this algorithm uses multiple ant colonies for the solution and determines strategies for information exchange among ant colonies according to the information entropy of each population to guarantee the balance of its convergence and diversity. The simulation results show that this algorithm has better performance than the single-population ant colony algorithm and can reduce resource wastage and energy consumption effectively for high-demand virtual machine deployment. |
| first_indexed | 2024-10-01T04:42:24Z |
| format | Journal Article |
| id | ntu-10356/87769 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:42:24Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/877692020-03-07T14:02:35Z Multi-population ant colony algorithm for virtual machine deployment Sun, Xuemei Zhang, Kai Ma, Maode Su, Hua School of Electrical and Electronic Engineering Multi-population Ant Colony Algorithm With the recent rapid development of cloud computing technology, how to reduce the costs of a cloud data center effectively has become an important issue. The study on virtual machine deployment mainly aims at deploying virtual machine resources required by users on a physical server rationally and effectively. This paper proposes a multi-population ant colony algorithm to solve problems of virtual machine deployment. With resource wastage and energy consumption as optimization objectives, this algorithm uses multiple ant colonies for the solution and determines strategies for information exchange among ant colonies according to the information entropy of each population to guarantee the balance of its convergence and diversity. The simulation results show that this algorithm has better performance than the single-population ant colony algorithm and can reduce resource wastage and energy consumption effectively for high-demand virtual machine deployment. Published version 2018-08-07T06:23:14Z 2019-12-06T16:49:06Z 2018-08-07T06:23:14Z 2019-12-06T16:49:06Z 2017 Journal Article Sun, X., Zhang, K., Ma, M., & Su, H. (2017). Multi-population ant colony algorithm for virtual machine deployment. IEEE Access, 5, 27014-27022. https://hdl.handle.net/10356/87769 http://hdl.handle.net/10220/45513 10.1109/ACCESS.2017.2768665 en IEEE Access © 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 9 p. application/pdf |
| spellingShingle | Multi-population Ant Colony Algorithm Sun, Xuemei Zhang, Kai Ma, Maode Su, Hua Multi-population ant colony algorithm for virtual machine deployment |
| title | Multi-population ant colony algorithm for virtual machine deployment |
| title_full | Multi-population ant colony algorithm for virtual machine deployment |
| title_fullStr | Multi-population ant colony algorithm for virtual machine deployment |
| title_full_unstemmed | Multi-population ant colony algorithm for virtual machine deployment |
| title_short | Multi-population ant colony algorithm for virtual machine deployment |
| title_sort | multi population ant colony algorithm for virtual machine deployment |
| topic | Multi-population Ant Colony Algorithm |
| url | https://hdl.handle.net/10356/87769 http://hdl.handle.net/10220/45513 |
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