Performance Analysis of a Dynamic Virtual Machine Management Method Based on the Power-Aware Integral Estimation

The latest cloud resource management research has revealed that virtual machine (VM) consolidation allows for effectively managing the physical resources of cloud data centers. However, a tremendous waste of power and physical resources has been pointed as one of the research challenges related to t...

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Autores principales:	Eduard Zharikov, Sergii Telenyk
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	energy efficiency virtual machine consolidation service level agreement beam search algorithm virtual machine migration Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/421632d5072a4516b31d56a8270dec76
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spelling	oai:doaj.org-article:421632d5072a4516b31d56a8270dec762021-11-11T15:37:02ZPerformance Analysis of a Dynamic Virtual Machine Management Method Based on the Power-Aware Integral Estimation10.3390/electronics102125812079-9292https://doaj.org/article/421632d5072a4516b31d56a8270dec762021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2581https://doaj.org/toc/2079-9292The latest cloud resource management research has revealed that virtual machine (VM) consolidation allows for effectively managing the physical resources of cloud data centers. However, a tremendous waste of power and physical resources has been pointed as one of the research challenges related to the development of new methods for VM management in a cloud data center in order to deliver a wide range of IT services to clients effectively. This paper investigates a problem of power-aware VM consolidation under dynamic workloads, uncertainty, and a changing number of VMs. For this purpose, the authors propose a dynamic VM management method based on a beam search that takes into account four types of resources (CPU, memory, network throughput, and storage throughput) and six quality metrics. Optimal beam search algorithm parameters for the defined problem are determined using a new power-aware integral estimation method. The SLA violation minimization allows significant improvement of SLA quality metrics, accompanied by the decreased number of VM migrations and slight deterioration in the power consumption. The proposed method is evaluated using common widespread hardware configurations and Bitbrains workload traces. The experiments show that the proposed approach can ensure the efficient use of cloud resources in terms of SLA violation and the number of VM migrations.Eduard ZharikovSergii TelenykMDPI AGarticleenergy efficiencyvirtual machine consolidationservice level agreementbeam search algorithmvirtual machine migrationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2581, p 2581 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	energy efficiency virtual machine consolidation service level agreement beam search algorithm virtual machine migration Electronics TK7800-8360
spellingShingle	energy efficiency virtual machine consolidation service level agreement beam search algorithm virtual machine migration Electronics TK7800-8360 Eduard Zharikov Sergii Telenyk Performance Analysis of a Dynamic Virtual Machine Management Method Based on the Power-Aware Integral Estimation
description	The latest cloud resource management research has revealed that virtual machine (VM) consolidation allows for effectively managing the physical resources of cloud data centers. However, a tremendous waste of power and physical resources has been pointed as one of the research challenges related to the development of new methods for VM management in a cloud data center in order to deliver a wide range of IT services to clients effectively. This paper investigates a problem of power-aware VM consolidation under dynamic workloads, uncertainty, and a changing number of VMs. For this purpose, the authors propose a dynamic VM management method based on a beam search that takes into account four types of resources (CPU, memory, network throughput, and storage throughput) and six quality metrics. Optimal beam search algorithm parameters for the defined problem are determined using a new power-aware integral estimation method. The SLA violation minimization allows significant improvement of SLA quality metrics, accompanied by the decreased number of VM migrations and slight deterioration in the power consumption. The proposed method is evaluated using common widespread hardware configurations and Bitbrains workload traces. The experiments show that the proposed approach can ensure the efficient use of cloud resources in terms of SLA violation and the number of VM migrations.
format	article
author	Eduard Zharikov Sergii Telenyk
author_facet	Eduard Zharikov Sergii Telenyk
author_sort	Eduard Zharikov
title	Performance Analysis of a Dynamic Virtual Machine Management Method Based on the Power-Aware Integral Estimation
title_short	Performance Analysis of a Dynamic Virtual Machine Management Method Based on the Power-Aware Integral Estimation
title_full	Performance Analysis of a Dynamic Virtual Machine Management Method Based on the Power-Aware Integral Estimation
title_fullStr	Performance Analysis of a Dynamic Virtual Machine Management Method Based on the Power-Aware Integral Estimation
title_full_unstemmed	Performance Analysis of a Dynamic Virtual Machine Management Method Based on the Power-Aware Integral Estimation
title_sort	performance analysis of a dynamic virtual machine management method based on the power-aware integral estimation
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/421632d5072a4516b31d56a8270dec76
work_keys_str_mv	AT eduardzharikov performanceanalysisofadynamicvirtualmachinemanagementmethodbasedonthepowerawareintegralestimation AT sergiitelenyk performanceanalysisofadynamicvirtualmachinemanagementmethodbasedonthepowerawareintegralestimation
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Performance Analysis of a Dynamic Virtual Machine Management Method Based on the Power-Aware Integral Estimation

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