Analytical Study of Virtual Machine Allocation Techniques in Cloud Computing Using Machine Learning
5 Pages Posted: 31 Mar 2020
Date Written: March 30, 2020
Abstract
Appropriate allocation of virtual machine (VM) contributes significantly in the compelling work in data centres. Virtual machine allocation is in fact distribution of collection of supporting devices known as virtual machines to the structure of tactile devices, hosts or the physical machines positioned in the datacentre. And certainly this allocation if blended with novel machine learning techniques will provide splendid results. This paper analyses the intended efficacious machine learning techniques for the foremost concern of data centres which is allocation of virtual machine to the concrete devices known as hosts or physical machines. The core purpose of this research is to explore some of the peculiar machine learning techniques for allocation of virtual machines in efficient data centre architecture.
Keywords: virtual machine allocation, machine learning, SVM, LDA
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