A Cloud Based Electronic Office Framework for Ethiopian Public Universities (CBEOFEPU)
International Journal on Data Science and Technology
Volume 6, Issue 1, March 2020, Pages: 1-9
Received: Dec. 11, 2019;
Accepted: Dec. 23, 2019;
Published: Jan. 6, 2020
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Gizatie Desalegn, Department of Computer Science, Faculty of Technology, Debre Tabor University, Debre Tabor, Ethiopia
Mesfin Abebe, Department of Computing, Adama Science and Technology University, Adama, Ethiopia
Fisha Haileslassie, Department of Computer Science, Faculty of Technology, Debre Tabor University, Debre Tabor, Ethiopia
Melese Kalayu, Department of Information Technology, Raya University, Maichew, Ethiopia
An effective cloud-based electronic office management system plays a crucial role in delivering services in a better way. The main goal of this research is to create a smart environment, a digital workplace solution, good communication, and collaboration between employers and Ethiopian higher education institutions and to add some cloud computing capabilities to the electronic office. The proposed system is intended to better drive the effective development of Smart society and to advance a step into an era of the paperless, replace the previous manual handling of documents with an efficient electronic system. The study uses questionnaire, Interview, and observation data collection techniques and the developed prototype and proposed framework evaluate by different users, experts in software engineering and related fields. This study proposes a private cloud platform architecture for electronic office in Ethiopian public universities Software as a Service. The Cloud-Based Electronic Office Framework (CBEOF) adapts the IBM Cloud Reference Architecture (IBMCRA), the NIST Cloud Reference Architecture, and the Microsoft Web Application Architecture to take advantage of all the considerations and capabilities of a cloud-based software architecture.
A Cloud Based Electronic Office Framework for Ethiopian Public Universities (CBEOFEPU), International Journal on Data Science and Technology.
Vol. 6, No. 1,
2020, pp. 1-9.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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