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

Suggested Citation

Mukhija, Loveleena and Sachdeva, Rohit, Analytical Study of Virtual Machine Allocation Techniques in Cloud Computing Using Machine Learning (March 30, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3564362 or http://dx.doi.org/10.2139/ssrn.3564362

Loveleena Mukhija (Contact Author)

PMN College Rajpura ( email )

Rajpura
India
Rajpura, CO Punjab 140401
India

Rohit Sachdeva

M M Modi College ( email )

Patiala
Patiala, CA Punjab 147001
India

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