A proposed learning model based on fog computing technology

Abstract

These days, e-learning has become indispensable as it facilitates the learning process and enables the students to obtain educational resources faster. With the increase in the number of learners and the number of requests on the e-learning frameworks, the e-learning framework has become suffering from some shortcomings, which prompted to search for a model that could facilitate students' access to educational resources. Therefore, in this research, a model based on fog computing was proposed, in which the e-learning resources are closer to the end-users. A test of the proposed model was conducted on a sample of students to measure the response time. Result data are collected and analyzed. The response time resulting from the proposed model compared with that resulting from the current model based on cloud computing. It founded that the proposed model has advantages as the number of students is divided on the fog computing nodes, unlike what happens in the cloud-based model in which the students did not split in the required way, as dividing students reduces the response time of the learning framework. Finally, using fog computing in a learning environment makes the learning resources closer to the end-user at the edge layer as described in the results of this paper.