Design a D-Fog Scheme to Enhance Processing Performance of Real-Time IoT Applications in Fog Computing

Abstract

The cloud computing has driven the fast development of the IoT services and applications. When a amount of real-time events in smart IoT applications are delivered to the cloud for processing, the loading on cloud computing becomes heavier, which can result in processing delays and exceeding their deadlines. The nodes in fog computing are closer to edge devices, which can process such these real-time events in this layer. With this fog process, the event processing efficiency can be enhanced and delays can also be solved in cloud computing.
This paper designs a set of fog computing framework called distributed fog computing scheme (D-FOG) that can improve the better processing performance of real-time IoT applications than conventional cloud computing. Through the simulation experiments, the final results indicate that the D-FOG yields the better performance in terms of Expired event rate, Event success rate, Average delay time, and Average processing time. Consequently, the proposed D-FOG is more effective and efficient in real-time events processing than conventional cloud computing.