Augmenting Quality of Experience in Distance Learning using Fog Computing

We present a model, based on Fog Computing, to access contents of a Virtual Learning Environment. This model will help bringing learning contents and applications closer to students by means of smart nodes located at the edge of the access networks used by the students themselves. It features optimized bandwidth usage that significantly reduces latency, thus improving the overall experience of distance learning. The data collected from these smart nodes, in correlation with the outcomes of the students, quantify the benefits of the proposed model. The results demonstrate that Fog Computing could make Virtual Learning Environments closer to the necessities of students and instructors.