No Cover Image

Journal article 316 views 116 downloads

Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers

Mandeep Singh Devgan, Tajinder Kumar, Purushottam Sharma, Cheng Cheng Orcid Logo, Shashi Bhushan, Vishal Garg

CAAI Transactions on Intelligence Technology, Volume: 10, Issue: 4, Pages: 1217 - 1234

Swansea University Author: Cheng Cheng Orcid Logo

  • 69324.VOR.pdf

    PDF | Version of Record

    © 2025 The Author(s). CAAI Transactions on Intelligence Technology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology. This is an open access article under the terms of the Creative Commons Attribution License (CC BY).

    Download (2.92MB)

Check full text

DOI (Published version): 10.1049/cit2.70018

Abstract

The cloud data centres evolved with an issue of energy management due to the constant increase in size, complexity and enormous consumption of energy. Energy management is a challenging issue that is critical in cloud data centres and an important concern of research for many researchers. In this pa...

Full description

Published in: CAAI Transactions on Intelligence Technology
ISSN: 2468-6557 2468-2322
Published: Wiley 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa69324
first_indexed 2025-04-23T09:57:30Z
last_indexed 2025-10-17T09:19:09Z
id cronfa69324
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-10-16T15:21:33.3803318</datestamp><bib-version>v2</bib-version><id>69324</id><entry>2025-04-23</entry><title>Energy Efficient VM Selection Using CSOA&#x2010;VM Model in Cloud Data Centers</title><swanseaauthors><author><sid>11ddf61c123b99e59b00fa1479367582</sid><ORCID>0000-0003-0371-9646</ORCID><firstname>Cheng</firstname><surname>Cheng</surname><name>Cheng Cheng</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-04-23</date><deptcode>MACS</deptcode><abstract>The cloud data centres evolved with an issue of energy management due to the constant increase in size, complexity and enormous consumption of energy. Energy management is a challenging issue that is critical in cloud data centres and an important concern of research for many researchers. In this paper, we proposed a cuckoo search (CS)-based optimisation technique for the virtual machine (VM) selection and a novel placement algorithm considering the different constraints. The energy consumption model and the simulation model have been implemented for the efficient selection of VM. The proposed model CSOA-VM not only lessens the violations at the service level agreement (SLA) level but also minimises the VM migrations. The proposed model also saves energy and the performance analysis shows that energy consumption obtained is 1.35 kWh, SLA violation is 9.2 and VM migration is about 268. Thus, there is an improvement in energy consumption of about 1.8% and a 2.1% improvement (reduction) in violations of SLA in comparison to existing techniques.</abstract><type>Journal Article</type><journal>CAAI Transactions on Intelligence Technology</journal><volume>10</volume><journalNumber>4</journalNumber><paginationStart>1217</paginationStart><paginationEnd>1234</paginationEnd><publisher>Wiley</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2468-6557</issnPrint><issnElectronic>2468-2322</issnElectronic><keywords>cloud computing, cloud datacenter, energy consumption, VM selection</keywords><publishedDay>1</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-08-01</publishedDate><doi>10.1049/cit2.70018</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>Swansea University</funders><projectreference/><lastEdited>2025-10-16T15:21:33.3803318</lastEdited><Created>2025-04-23T10:55:46.4787280</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Mandeep Singh</firstname><surname>Devgan</surname><order>1</order></author><author><firstname>Tajinder</firstname><surname>Kumar</surname><order>2</order></author><author><firstname>Purushottam</firstname><surname>Sharma</surname><order>3</order></author><author><firstname>Cheng</firstname><surname>Cheng</surname><orcid>0000-0003-0371-9646</orcid><order>4</order></author><author><firstname>Shashi</firstname><surname>Bhushan</surname><order>5</order></author><author><firstname>Vishal</firstname><surname>Garg</surname><order>6</order></author></authors><documents><document><filename>69324__34165__633b8ef4e361417788b6a75b2b47ade2.pdf</filename><originalFilename>69324.VOR.pdf</originalFilename><uploaded>2025-05-02T12:41:57.8022086</uploaded><type>Output</type><contentLength>3057659</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2025 The Author(s). CAAI Transactions on Intelligence Technology published by John Wiley &amp; Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology. This is an open access article under the terms of the Creative Commons Attribution License (CC BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2025-10-16T15:21:33.3803318 v2 69324 2025-04-23 Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers 11ddf61c123b99e59b00fa1479367582 0000-0003-0371-9646 Cheng Cheng Cheng Cheng true false 2025-04-23 MACS The cloud data centres evolved with an issue of energy management due to the constant increase in size, complexity and enormous consumption of energy. Energy management is a challenging issue that is critical in cloud data centres and an important concern of research for many researchers. In this paper, we proposed a cuckoo search (CS)-based optimisation technique for the virtual machine (VM) selection and a novel placement algorithm considering the different constraints. The energy consumption model and the simulation model have been implemented for the efficient selection of VM. The proposed model CSOA-VM not only lessens the violations at the service level agreement (SLA) level but also minimises the VM migrations. The proposed model also saves energy and the performance analysis shows that energy consumption obtained is 1.35 kWh, SLA violation is 9.2 and VM migration is about 268. Thus, there is an improvement in energy consumption of about 1.8% and a 2.1% improvement (reduction) in violations of SLA in comparison to existing techniques. Journal Article CAAI Transactions on Intelligence Technology 10 4 1217 1234 Wiley 2468-6557 2468-2322 cloud computing, cloud datacenter, energy consumption, VM selection 1 8 2025 2025-08-01 10.1049/cit2.70018 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2025-10-16T15:21:33.3803318 2025-04-23T10:55:46.4787280 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Mandeep Singh Devgan 1 Tajinder Kumar 2 Purushottam Sharma 3 Cheng Cheng 0000-0003-0371-9646 4 Shashi Bhushan 5 Vishal Garg 6 69324__34165__633b8ef4e361417788b6a75b2b47ade2.pdf 69324.VOR.pdf 2025-05-02T12:41:57.8022086 Output 3057659 application/pdf Version of Record true © 2025 The Author(s). CAAI Transactions on Intelligence Technology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology. This is an open access article under the terms of the Creative Commons Attribution License (CC BY). true eng http://creativecommons.org/licenses/by/4.0/
title Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers
spellingShingle Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers
Cheng Cheng
title_short Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers
title_full Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers
title_fullStr Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers
title_full_unstemmed Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers
title_sort Energy Efficient VM Selection Using CSOA‐VM Model in Cloud Data Centers
author_id_str_mv 11ddf61c123b99e59b00fa1479367582
author_id_fullname_str_mv 11ddf61c123b99e59b00fa1479367582_***_Cheng Cheng
author Cheng Cheng
author2 Mandeep Singh Devgan
Tajinder Kumar
Purushottam Sharma
Cheng Cheng
Shashi Bhushan
Vishal Garg
format Journal article
container_title CAAI Transactions on Intelligence Technology
container_volume 10
container_issue 4
container_start_page 1217
publishDate 2025
institution Swansea University
issn 2468-6557
2468-2322
doi_str_mv 10.1049/cit2.70018
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description The cloud data centres evolved with an issue of energy management due to the constant increase in size, complexity and enormous consumption of energy. Energy management is a challenging issue that is critical in cloud data centres and an important concern of research for many researchers. In this paper, we proposed a cuckoo search (CS)-based optimisation technique for the virtual machine (VM) selection and a novel placement algorithm considering the different constraints. The energy consumption model and the simulation model have been implemented for the efficient selection of VM. The proposed model CSOA-VM not only lessens the violations at the service level agreement (SLA) level but also minimises the VM migrations. The proposed model also saves energy and the performance analysis shows that energy consumption obtained is 1.35 kWh, SLA violation is 9.2 and VM migration is about 268. Thus, there is an improvement in energy consumption of about 1.8% and a 2.1% improvement (reduction) in violations of SLA in comparison to existing techniques.
published_date 2025-08-01T07:37:00Z
_version_ 1850743583040077824
score 11.08895

Similar Items