Fog Computing and the Internet of Things: A Review
By Hany F. Atlam, Robert John Walters, Gary Brian Wills. Big Data and Cognitive Computing, 2018
551 citations recorded by the source corpus.
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud closer to IoT devices. The fog provides IoT data processing and storage locally at IoT devices instead of sending them to the cloud. In contrast to the cloud, the fog provides services with faster response and greater quality. Therefore, fog computing may be considered the best choice to enable the IoT to provide efficient and secure services for many IoT users. This paper presents the state-of-the-art of fog computing and its integration with the IoT by highlighting the benefits and implementation challenges. This review will also focus on the architecture of the fog and emerging IoT applications that will be improved by using the fog model. Finally, open issues and future research directions regarding fog computing and the IoT are discussed.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/7c417f9927dd7e6141531469e1e04fc144eafd0e
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Citations in the corpus
- Internet of Things (IoT) and the Energy Sector (2020, background): “The advantages of this approach include enhanced secure services required for many IoT applications as well as reducing network traffic and latency [112].”
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, unknown): “utations from and data collected by end users can be processed and analyzed by fog nodes (i.e., nodes in fog computing) at the network edge, thus reducing the execution latency and network congestion [11], [12]. Since fog nodes are generally deployed in distributed locations, they are widespread and”