Edge Computing: Review and Future Directions

Abstract

By leveraging cloud computing architecture and services to do centralized computation, especially when Internet of Things (IoT) scenarios want to react from insights resulted from that computation back to end devices, then we run into actual limitations of bandwidth congestion and the resulted high latency. Edge Computing come to existence with different implementations to gradually remove these barriers on limitations. Current networks relate to edge computing success to make an advance in their services to end users such as the shift from current 4G network infrastructure to 5G enhanced one. This paper aims twofold: Firstly, a review of the concepts and technology of edge computing is given. This includes cloud computing, the emerging edge computing and its implementations, comparison between existing terminologies, and an overview of wearable devices scenarios. Secondly, the paper presents an investigation of two promising technologies thathave been adopted to implement the edge computing setup in our project. These are Azure cloud service and Raspberry Pi edge devices.