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...

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Main Authors: Sun, Xuemei, Zhang, Kai, Ma, Maode, Su, Hua
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/87769
http://hdl.handle.net/10220/45513
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.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
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Multi-population
Ant Colony Algorithm
spellingShingle Multi-population
Ant Colony Algorithm
Sun, Xuemei
Zhang, Kai
Ma, Maode
Su, Hua
Multi-population ant colony algorithm for virtual machine deployment
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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Sun, Xuemei
Zhang, Kai
Ma, Maode
Su, Hua
format Article
author Sun, Xuemei
Zhang, Kai
Ma, Maode
Su, Hua
author_sort Sun, Xuemei
title Multi-population ant colony algorithm for virtual machine deployment
title_short 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_sort multi-population ant colony algorithm for virtual machine deployment
publishDate 2018
url https://hdl.handle.net/10356/87769
http://hdl.handle.net/10220/45513
_version_ 1681039724299419648