Title: An optimal selection of virtual machine for e-healthcare services in cloud data centres

Authors: R. Prathap; R. Mohanasundaram

Addresses: School of Computer Science and Engineering, Vellore Institute of Technology, Vellore TN, India ' School of Computer Science and Engineering, Vellore Institute of Technology, Vellore TN, India

Abstract: In recent times, in the handling of health facilities, cloud computing performs a big part. Such title is electronic healthcare, used to enhance the efficiency of cloud healthcare. A virtual device for health services is a significant selection and placement factor and one of the cloud's problems. The data centre processes the medical application with huge concentrations. This would maximise the use of resources and reduce the time the cloud data centre requires to execute the medical request. Multiple methods for solving cloud-based problems are employed. In this article, a multi-target grey-wolf optimisation hybrid application (ROMGW) algorithm is provided to address healthcare requirements effectively in cloud data centres. The suggested algorithm has been evaluated in the cloud data centres and contrasted to the well-known VM algorithm benchmark. Furthermore, cloud performance effectiveness improves the cloud use of the electronic health services scheme. Inaccuracy, the hybrid algorithm is able to interact with customers at the highest rate. This is one of the leading designs that improves the use of resources for cloud health facilities.

Keywords: cloud computing; healthcare services; virtualisation; multi-objective grey wolf optimisation.

DOI: 10.1504/IJCC.2022.121077

International Journal of Cloud Computing, 2022 Vol.11 No.1, pp.79 - 88

Received: 14 Jul 2019
Accepted: 21 Oct 2019

Published online: 18 Feb 2022 *

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