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A Green Cloud-Oriented Computing Architecture for E-Learning Applications

Journal: International Research Journal of Advanced Engineering and Science (IRJAES) (Vol.1, No. 4)

Publication Date:

Authors : ;

Page : 74-81

Keywords : Cloud Computing; green computing; green cloud; e-learning; data centers; energy efficiency;

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Abstract

Distributed computing is a very adaptable and practical foundation for running Web applications. E-learning or e-Learning is one of such Web application has progressively picked up fame in the late years, as an exhaustive medium of worldwide instruction framework/preparing frameworks. The advancement of e-Learning Application inside the distributed computing environment empowers clients to get to different programming applications, share information, team up more effectively, and keep their information securely in the framework. Be that as it may, the developing interest of Cloud base has radically expanded the vitality utilization of server farms, which has turned into a basic issue. High vitality utilization not just means high operational cost, which decreases the net revenue of Cloud suppliers, additionally prompts high carbon emanations which are not ecologically well disposed. Consequently, vitality productive arrangements are required to minimize the effect of Cloud-Oriented E-Learning on the earth. E-learning techniques have definitely changed the instructive environment furthermore lessened the utilization of papers and eventually decrease the generation of carbon impression. E-learning technique is a case of Green figuring. Hence, in this paper, it is proposed a Cloud-Oriented Green Computing Architecture for eLearning Applications (COGALA). The e-Learning Applications utilizing COGALA can bring down costs, lessen vitality utilization, and assist associations with constrained IT assets with deploying and keep up required programming in an auspicious way. This paper additionally examined the ramifications of this answer for future research headings to empower Cloud-Oriented Green Computing.

Last modified: 2016-12-24 14:02:44