Fog computing: A taxonomy, systematic review, current trends and research challenges

There has been rapid development in the number of Internet of Things (IoT) connected nodes and devices in our daily life in recent times. With this increase in the number of devices, fog computing has become a well-established paradigm to optimize various key Quality of Service (QoS) requirements such as latency, bandwidth limitation, response time, scalability, privacy and security. In this paper, we present a systematic literature review of fog computing. This review article aims to classify recently published studies and investigate the current status in the area of fog computing. In this work, we have discussed the important characteristics of fog computing frameworks and identified various issues related to its architectural design, QoS metrics, implementation details, applications and communication modes. We have proposed taxonomy for fog computing frameworks based on the existing literature and compared the different research work based on taxonomy. Finally, various open research challenges and promising future directions are highlighted for further research in the area of fog computing. (C) 2021 Elsevier Inc. All rights reserved.

Automated summary

Fog computing has become a well-established paradigm for optimizing Quality of Service requirements among IoT devices. This systematic literature review paper investigates the current status in the area of fog computing, discussing important characteristics and issues related to its architectural design and implementation details. Various open research challenges and promising future directions in the field are highlighted for further research.