Research on Virtual Machine Migration Algorithm for Cloud Data Center

Liu, Ying; Gao, Junjie; Yao, Yu

doi:10.1109/iccsec.2017.8446915

“…Based on the resource utilization rates of CPU, memory, and network bandwidth for each physical machine, the average resource utilization rate for a single physical machine can be calculated as Eq. (17).…”

Section: Modelmentioning

confidence: 99%

“…Li et al [15] investigated incorporating continuous integer encoding, directional learning, sine and cosine perturbation, and adaptive weighting into the Particle Swarm Optimization algorithm to create a virtual machine placement strategy for cloud platforms, reducing resource wastage. Zhou et al [16] and Liu [17] studied virtual machine migration and placement strategies in cloud data centers using Genetic Algorithms, reducing energy consumption and the number of virtual machine migrations.…”

mentioning

confidence: 99%

Improved sparrow algorithm based virtual machine placement

Ren,

Zhuge,

Zhang

et al. 2024

Cluster Comput

0

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To solve the problem of severe physical resource depletion in cloud data centers, a virtual machine placement method based on an improved sparrow search algorithm is proposed. Firstly, Chebyshev chaotic mapping and Levy flight disturbance strategy are integrated into the sparrow search algorithm to improve the allocation of population resources in the search space and increase the diversity of population search. In addition, a mapping encoding scheme is designed to map the virtual machine placement scheme into continuous position information, Finally, a cloud data center resource consumption model was established with the objective function of maximizing the utilization efficiency of physical machine resources. The simulation results show that this method has better performance in virtual machine migration and physical resource utilization, and the Service Level Agreement (SLA) violation rate is basically stable.

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A Systematic Literature Review on Virtual Machine Consolidation

Dias

¹

,

Correia

²

,

Malheiros

³

2021

ACM Comput. Surv.

10

0

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Virtual machine consolidation has been a widely explored topic in recent years due to Cloud Data Centers’ effect on global energy consumption. Thus, academia and companies made efforts to achieve green computing, reducing energy consumption to minimize environmental impact. By consolidating Virtual Machines into a fewer number of Physical Machines, resource provisioning mechanisms can shutdown idle Physical Machines to reduce energy consumption and improve resource utilization. However, there is a tradeoff between reducing energy consumption while assuring the Quality of Service established on the Service Level Agreement. This work introduces a Systematic Literature Review of one year of advances in virtual machine consolidation. It provides a discussion on methods used in each step of the virtual machine consolidation, a classification of papers according to their contribution, and a quantitative and qualitative analysis of datasets, scenarios, and metrics.

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Improved sparrow algorithm based virtual machine placement

Ren,

Zhuge,

Zhang

et al. 2023

Preprint

0

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To solve the problem of severe physical resource depletion in cloud data centers, a virtual machine placement method based on an improved sparrow search algorithm is proposed. Firstly, Chebyshev chaotic mapping and Levy flight disturbance strategy are integrated into the sparrow search algorithm to improve the allocation of population resources in the search space and increase the diversity of population search. In addition, a mapping encoding scheme is designed to map the virtual machine placement scheme into continuous position information, Finally, a cloud data center resource consumption model was established with the objective function of maximizing the utilization efficiency of physical machine resources. The simulation results show that this method has better performance in virtual machine migration and physical resource utilization, and the Service Level Agreement (SLA) violation rate is basically stable.

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Research on Virtual Machine Migration Algorithm for Cloud Data Center

Cited by 3 publications

References 4 publications

Improved sparrow algorithm based virtual machine placement

Improved sparrow algorithm based virtual machine placement

A Systematic Literature Review on Virtual Machine Consolidation

Improved sparrow algorithm based virtual machine placement

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