Design and Application of Innovative Teaching Platform Based on Fog Computing

Abstract

Fog computing is a new type of calculation model in recent years, which shares part of the pressure of cloud computing storage, calculation and processing. Compared with the traditional teaching methods, this paper proposes to use fog computing and big data technology features to build an innovative teaching platform system and the fog model based on fog computing, which can reduce network broadband pressure, reduce the burden on cloud servers, improve comprehensive computing ability, and reduce delay. In addition, it can enhance the exchange of information between teachers and students, guarantee the full range of service levels between teachers and students, and mainly solve the problem of network congestion caused by big data teaching resources. The platform design mainly realizes the functions of resource sharing, teacher-student interaction, effect feedback, intelligent management, etc. Besides, it also can intelligently analyze student behavior, intelligently predict students' favorite courses recommend relevant courses for students to choose, and reform the teaching methods and management modes to improve the interaction between teaching and learning, and improve students' enthusiasm and efficiency in learning.

Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective

“…In order to facilitate the resource sharing between all the related fog nodes an effective algorithm has to be applied. How the fog nodes will be connected to individual education IoT system related applications, for gateways need to set accurately [64]. Two different algorithms are proposed.…”

“…The temporary storage layer of the architecture will distribute and replicate data. For storage space virtualization the temporary storage layer will be configured [64]. Maintaining overall security is also essential to keep confidential data related to students and employees secured from external users.…”