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

• Published in: Journal of parallel and distributed computing 2021-11, Vol.157, p.56-85
• Main Authors: Singh, Jagdeep, Singh, Parminder, Gill, Sukhpal Singh
• Format: Article
• Language: English
• Subjects: Applications; Edge computing; Fog computing; Frameworks; Internet of things (IoT)
• ISSN: 0743-7315; 1096-0848
• DOI: 10.1016/j.jpdc.2021.06.005

•Presents the systematic literature review on fog computing.•Aims to classify and investigate the recently published work statistically in fog computing.•Proposes a taxonomy for fog computing frameworks.•Compares the existing studies based on the common characteristics and properties.•Highlights current research challenges, future directions and emerging trends. 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.