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Dynamic Automated Infrastructure for Efficient Cloud Data Centre

R. Dhaya1,*, R. Kanthavel2

1 Department of Computer Science, King Khalid University-Sarat Abidha Campus, Abha, Saudi Arabia
2 Department of Computer Engineering, King Khalid University, Abha, Saudi Arabia

* Corresponding Author: R. Dhaya. Email: email

Computers, Materials & Continua 2022, 71(1), 1625-1639. https://doi.org/10.32604/cmc.2022.022213

Abstract

We propose a dynamic automated infrastructure model for the cloud data centre which is aimed as an efficient service stipulation for the enormous number of users. The data center and cloud computing technologies have been at the moment rendering attention to major research and development efforts by companies, governments, and academic and other research institutions. In that, the difficult task is to facilitate the infrastructure to construct the information available to application-driven services and make business-smart decisions. On the other hand, the challenges that remain are the provision of dynamic infrastructure for applications and information anywhere. Further, developing technologies to handle private cloud computing infrastructure and operations in a completely automated and secure way has been critical. As a result, the focus of this article is on service and infrastructure life cycle management. We also show how cloud users interact with the cloud, how they request services from the cloud, how they select cloud strategies to deliver the desired service, and how they analyze their cloud consumption.

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APA Style
Dhaya, R., Kanthavel, R. (2022). Dynamic automated infrastructure for efficient cloud data centre. Computers, Materials & Continua, 71(1), 1625-1639. https://doi.org/10.32604/cmc.2022.022213
Vancouver Style
Dhaya R, Kanthavel R. Dynamic automated infrastructure for efficient cloud data centre. Comput Mater Contin. 2022;71(1):1625-1639 https://doi.org/10.32604/cmc.2022.022213
IEEE Style
R. Dhaya and R. Kanthavel, “Dynamic Automated Infrastructure for Efficient Cloud Data Centre,” Comput. Mater. Contin., vol. 71, no. 1, pp. 1625-1639, 2022. https://doi.org/10.32604/cmc.2022.022213

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cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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