Analyzing Fog Computing Technologies for Enhancing M-Learning Networked Environments

The use of a wireless communication network has successfully enriched experiences of learning. In the service of mobile computing, education has now led to the implementation of mobile learning (m-learning). Not only to access educational resources quickly but m-learning also contributes to allowing a wide-ranging collaboration between users as learners. Supported by cloud technology, m-learning nowadays has shown its potential solution in making larger capacity and shorter processes. How-ever, a cloud-based learning architecture would only enhance the power of data storing for the applications. The implementation with the growth of billions of various devices which still needs improvements due to computing performance and content delivery need to put the consideration of fog computing as an opportunity to create an effective and efficient educational service. This paper discusses the current implementation of fog technology including a comparative analysis regarding each type of learning situations in m-learning networked environments by using a comprehensive review and expert evaluation. Findings of this study also examine the benefits and future challenges to give a broader perspective for educational purposes.