An approach to virtual machine placement in cloud data centers

Telenyk, Sergii; Zharikov, Eduard; Rolik, Oleksandr

doi:10.1109/ukrmico.2016.7739645

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…In recent years, several approaches and algorithms have been proposed to solve the VM consolidation problem with different objectives [1][2][3]. The problem of virtual machine consolidation is considered to be an optimisation problem with various objective functions.…”

Section: Related Workmentioning

confidence: 99%

“…Researchers have proposed solutions that use objective functions such as minimising power consumption, minimising service quality violations, minimising network traffic by eliminating bottlenecks, and maximising productivity. One of the main conditions that need to be satisfied for modern clusters is the ability of the management algorithm to operate online [3]. Furthermore, it is possible to use optimisation methods that work when certain cluster conditions arise.…”

Section: Related Workmentioning

confidence: 99%

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Energy efficient data center resources management using beam search algorithm

2018

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Modern data centres consume large amounts of power resulting in high levels of carbon dioxide emission. The data centre is a virtual environment in which the workload is performed by virtual machines. A widely used technique to decrease data centre power consumption is to consolidate the virtual machines using a minimal number of physical servers. The authors propose a two-stage method to solve the virtual machine consolidation problem in cloud data centres. The proposed method is programmed in C# to evaluate it and to perform modelling using Google cluster-usage traces. The proposed method enables powering off nearly fifty percent of the previously selected physical servers by using an acceptable number of migrations of virtual machines.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%