A proposed learning model based on fog computing technology

— 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.