An E-Learning System Architecture Based on New Business Paradigm Using Cloud Computing

Abstract

Cloud computing is becoming an adoptable technology for many of the organizations with its dynamic scalability and usage of virtualized resources as a service through the Internet. Cloud computing and its applications in almost any area, including education. Now a day, e-learning is also becoming very popular and powerful trend, which is also broad. E-learning systems usually require many hardware and software resources. This paper presents the benefits of using cloud computing for e-learning. There are many educational institutions that cannot afford these investments, and the cloud computing is the best solution, especially in the universities where the use of computers are more intensive and what can be done to increase the benefits of common applications for students and teachers. In this paper we can introduce the characteristics of the current e-Learning and then analysis of the concept of cloud computing and describes the architecture of cloud computing platform by combining the features of the elearning. And the authors have tried to introduce the cloud computing to e-learning, and it is building an e-learning cloud, and make it as active research and exploration of the architecture, and it has the construction method and, external interface within the business model, and the challenges and solutions etc. In our results can be suggested that the introduction of cloud computing into e-learning is feasible and it can greatly improve the efficiency of investment and power of the management, which can make it the e-learning system will be developed into the virtuous circle and it can be achieve the win-win situation for suppliers and customers.

Authors and Affiliations

Ehsan Alavi

Keywords

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  • EP ID EP117325
  • DOI -
  • Views 72
  • Downloads 0

How To Cite

Ehsan Alavi (30). An E-Learning System Architecture Based on New Business Paradigm Using Cloud Computing. International Journal of Engineering Sciences & Research Technology, 2(10), 2990-2999. https://europub.co.uk/articles/-A-117325