Multi-objective Virtual Machine Placement for Load Balancing
The virtual machine placement is closely related to the efficient and balanced utilization of physical resources. In this paper, the influence of two scenarios about resource utilization on load balancing is analyzed. A multi-objective ant colony optimization algorithm is proposed to solve the virtu...
Main Authors: | , |
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Format: | Article |
Language: | English |
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EDP Sciences
2017-01-01
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Series: | ITM Web of Conferences |
Online Access: | https://doi.org/10.1051/itmconf/20171101011 |
_version_ | 1819327145976004608 |
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author | Fang Feng Qu Bin-Bin |
author_facet | Fang Feng Qu Bin-Bin |
author_sort | Fang Feng |
collection | DOAJ |
description | The virtual machine placement is closely related to the efficient and balanced utilization of physical resources. In this paper, the influence of two scenarios about resource utilization on load balancing is analyzed. A multi-objective ant colony optimization algorithm is proposed to solve the virtual machine placement problem, which balances the load among physical machines and the internal load of physical machine simultaneously. The proposed algorithm is compared with two single objective ant colony optimization algorithms, first fit algorithm and greedy algorithm under some instances. The results show that the proposed algorithm can search and find solutions that exhibit good balance among objectives while others cannot. This demonstrates the proposed algorithm can balance the load in the process of mapping virtual machines to physical machines. |
first_indexed | 2024-12-24T13:06:12Z |
format | Article |
id | doaj.art-d680ec7511e245c291ecd1911faad1bc |
institution | Directory Open Access Journal |
issn | 2271-2097 |
language | English |
last_indexed | 2024-12-24T13:06:12Z |
publishDate | 2017-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | ITM Web of Conferences |
spelling | doaj.art-d680ec7511e245c291ecd1911faad1bc2022-12-21T16:54:00ZengEDP SciencesITM Web of Conferences2271-20972017-01-01110101110.1051/itmconf/20171101011itmconf_ist2017_01011Multi-objective Virtual Machine Placement for Load BalancingFang Feng0Qu Bin-Bin1School of Computer Science & Technology, Huazhong University Of Science And TechnologySchool of Computer Science & Technology, Huazhong University Of Science And TechnologyThe virtual machine placement is closely related to the efficient and balanced utilization of physical resources. In this paper, the influence of two scenarios about resource utilization on load balancing is analyzed. A multi-objective ant colony optimization algorithm is proposed to solve the virtual machine placement problem, which balances the load among physical machines and the internal load of physical machine simultaneously. The proposed algorithm is compared with two single objective ant colony optimization algorithms, first fit algorithm and greedy algorithm under some instances. The results show that the proposed algorithm can search and find solutions that exhibit good balance among objectives while others cannot. This demonstrates the proposed algorithm can balance the load in the process of mapping virtual machines to physical machines.https://doi.org/10.1051/itmconf/20171101011 |
spellingShingle | Fang Feng Qu Bin-Bin Multi-objective Virtual Machine Placement for Load Balancing ITM Web of Conferences |
title | Multi-objective Virtual Machine Placement for Load Balancing |
title_full | Multi-objective Virtual Machine Placement for Load Balancing |
title_fullStr | Multi-objective Virtual Machine Placement for Load Balancing |
title_full_unstemmed | Multi-objective Virtual Machine Placement for Load Balancing |
title_short | Multi-objective Virtual Machine Placement for Load Balancing |
title_sort | multi objective virtual machine placement for load balancing |
url | https://doi.org/10.1051/itmconf/20171101011 |
work_keys_str_mv | AT fangfeng multiobjectivevirtualmachineplacementforloadbalancing AT qubinbin multiobjectivevirtualmachineplacementforloadbalancing |