Molo, Mbasa Joaquim and Badejo, J. A. and Adetiba, E. and Nzanzu, Vingi Patrick and Noma-Osaghae, Etinosa and Oguntosin, V. and Baraka, Mushage Olivier and Takenga, Claude and Suraju, Sadeeq and Adebiyi, E. F. A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem. Applied Computational Intelligence and Soft Computing.
Full text not available from this repository.Abstract
Cloud computing is a technology that allows dynamic and flexible computing capability and storage through on-demand delivery and pay-as-you-go services over the Internet. %is technology has brought significant advances in the Information Technology (IT) domain. In the last few years, the evolution of cloud computing has led to the development of new technologies such as cloud federation, edge computing, and fog computing. However, with the development of Internet of %ings (IoT), several challenges have emerged with these new technologies. %erefore, this paper discusses each of the emerging cloud-based technologies, as well as their architectures, opportunities, and challenges. We present how cloud computing evolved from one paradigm to another through the interplay of benefits such as improvement in computational resources through the combination of the strengths of various Cloud Service Providers (CSPs), decrease in latency, improvement in bandwidth, and so on. Furthermore, the paper highlights the application of different cloud paradigms in the healthcare ecosystem
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | nwokealisi |
Date Deposited: | 17 Jan 2023 10:04 |
Last Modified: | 17 Jan 2023 10:04 |
URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/16522 |
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