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Table 2 Frameworks and models for the fog computing in higher education applications

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

Problem

Technique

The pre-existing technology does not use edge computing mechanism [99]

Use of new computing paradigm for improving the performance. The edge mesh is considered as the smartest computer paradigm for managing the centralized server

Response rate is slower in case of managing sensitive data [100]

Implementing two algorithms: (1) integrating fog for determining the user’s data, (2) identifying the shortest path for using fog computing

Prevention of DDOS attack

Integrating handshaking method for ensuring the authentication process effectively within the system [101]

Challenges faced by developers while accessing IoT systems

Using API gateway for the purpose of connecting the micro services

Current system fails to provide proper governance

Introduction of computation framework for managing the remote real time monitoring

Communication process gets hampered and eventually leads to impacting the student’s data [102]

Using eWall monitoring system

Improper monitoring and governance of the activities carried out within the higher education [103]

Use of smart gateways in the fog computing process for enhancing the way performance is monitored

Problems faced while decision making phase [24]

Implementing cloud to fog architecture for securing the edge of the network