Improving Dynamic Placement of Virtual Machines in Cloud Data Centers Based on Open-Source Development Model Algorithm

Although cloud computing can provide information technology services worldwide, data centers hosting cloud applications consume a lot of energy. At the same time, the ever-increasing growth of the number of providers in the market has led to an increase in greenhouse gas emissions and operational co...

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Vydané v:	Journal of grid computing Ročník 21; číslo 1; s. 13
Hlavní autori:	Li, Na, Liu, XiaoLing, Wang, Yu, Mojarad, Musa
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.03.2023 Springer Nature B.V
Predmet:	Algorithms Cloud computing Computer centers Computer Science Data centers Energy consumption Energy costs Greenhouse gases Heuristic methods Management of Computing and Information Systems Operating costs Placement Processor Architectures User Interfaces and Human Computer Interaction Virtual environments Cloud computing Dynamic placement ODMA Virtual machine VM migration
ISSN:	1570-7873, 1572-9184
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Abstract	Although cloud computing can provide information technology services worldwide, data centers hosting cloud applications consume a lot of energy. At the same time, the ever-increasing growth of the number of providers in the market has led to an increase in greenhouse gas emissions and operational costs. Hence, the optimal configuration of the underlying cloud infrastructure as a green cloud computing solution is needed to manage energy consumption and costs in cloud data centers. An important issue in this field is Virtual Machine Placement (VMP) considering dynamic aspects and demand fluctuations to minimize energy consumption and costs without violating the Service Level Agreement (SLA). We believe that there is a scope of improvement in migrating Virtual Machines (VMs) and subsequently deciding to shutdown hosts with little-load. This study proposes an Open-Source Development Model Algorithm (ODMA) as a meta-heuristic approach to solve the VMP problem, which is named VMP-ODMA. VMP-ODMA seeks to dynamically consolidate VMs into a minimum number of active hosts by migrating VMs over cloud data centers. VMP-ODMA can perform the placement process dynamically and periodically by finding the best sequence of VMs for migration. In addition to minimizing the number of active hosts, a load balancing strategy is included in VMP-ODMA to improve the quality of service without violating the SLA. We demonstrate the effectiveness of the proposed scheme with extensive simulations. Experimental results show that VMP-ODMA can efficiently improve system performance and outperform the best results of existing methods ranging from 11 to 27%.
AbstractList	Although cloud computing can provide information technology services worldwide, data centers hosting cloud applications consume a lot of energy. At the same time, the ever-increasing growth of the number of providers in the market has led to an increase in greenhouse gas emissions and operational costs. Hence, the optimal configuration of the underlying cloud infrastructure as a green cloud computing solution is needed to manage energy consumption and costs in cloud data centers. An important issue in this field is Virtual Machine Placement (VMP) considering dynamic aspects and demand fluctuations to minimize energy consumption and costs without violating the Service Level Agreement (SLA). We believe that there is a scope of improvement in migrating Virtual Machines (VMs) and subsequently deciding to shutdown hosts with little-load. This study proposes an Open-Source Development Model Algorithm (ODMA) as a meta-heuristic approach to solve the VMP problem, which is named VMP-ODMA. VMP-ODMA seeks to dynamically consolidate VMs into a minimum number of active hosts by migrating VMs over cloud data centers. VMP-ODMA can perform the placement process dynamically and periodically by finding the best sequence of VMs for migration. In addition to minimizing the number of active hosts, a load balancing strategy is included in VMP-ODMA to improve the quality of service without violating the SLA. We demonstrate the effectiveness of the proposed scheme with extensive simulations. Experimental results show that VMP-ODMA can efficiently improve system performance and outperform the best results of existing methods ranging from 11 to 27%.
ArticleNumber	13
Author	Liu, XiaoLing Li, Na Mojarad, Musa Wang, Yu
Author_xml	– sequence: 1 givenname: Na surname: Li fullname: Li, Na email: 20160361@ayit.edu.cn organization: School of Computer Science & Information Engineering, Anyang Institute of Technology – sequence: 2 givenname: XiaoLing surname: Liu fullname: Liu, XiaoLing organization: The Foreign Language Department, Anyang Institute of Technology – sequence: 3 givenname: Yu surname: Wang fullname: Wang, Yu organization: China Mobile Group Henan Co., Ltd. Anyang Branch – sequence: 4 givenname: Musa surname: Mojarad fullname: Mojarad, Musa email: musa.mojarad@iau.ac.ir organization: Depiecement of Computer Engineering, Firoozabad Branch, Islamic Azad University
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Snippet	Although cloud computing can provide information technology services worldwide, data centers hosting cloud applications consume a lot of energy. At the same...
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SubjectTerms	Algorithms Cloud computing Computer centers Computer Science Data centers Energy consumption Energy costs Greenhouse gases Heuristic methods Management of Computing and Information Systems Operating costs Placement Processor Architectures User Interfaces and Human Computer Interaction Virtual environments
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Title	Improving Dynamic Placement of Virtual Machines in Cloud Data Centers Based on Open-Source Development Model Algorithm
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