Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges

By Mithun Mukherjee, Lei Shu, Di Wang. IEEE Communications Surveys and Tutorials, 2018

563 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/cac3e57087ecb679b4349e674b8d4f2d0efc5d7e

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

In Electrical and Electronic Engineering

Citations in the corpus

Differential Privacy Techniques for Cyber Physical Systems: A Survey (2018, background): “With time, fog computing emerged as a most viable solution to provide support to latency sensitive, geographically distributed, QoS aware applications of IoT [214].”
Deep Learning in Mobile and Wireless Networking: A Survey (2018, background): “This reduces the communications overhead, offloads data traffic, reduces user-side latency, and lightens the sever-side computational burdens [133], [134].”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, unknown): “The cloudlet and fog computing are similar in that cloudlets and fog nodes are not integrated into the mobile network architecture, thus fog nodes and cloudlets are commonly deployed and owned by private enterprises and it is not easy to provide mobile users with the quality of service (QoS) and qua”
An Overview of Service Placement Problem in Fog and Edge Computing (2020, background): “There are several surveys that address diﬀerent aspects of Fog Computing and the related challenges [25, 30, 38, 41, 74, 82, 91, 95, 106, 117, 120, 123, 142, 158, 160].”
Fog Computing and the Internet of Things: A Review (2018, methodology): “The performance and status of all applications and services deployed on the infrastructure are monitored [22].”
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “The authors in [10] compile a comprehensive survey of recent efforts in fog-enabled network architectures, and provide various network applications of fog computing.”
Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges (2020, background): “Mukherjee et al. [25] described the overview and foundation of the fog computing architecture; summarized the main research on service and resource allocation methods and networks; and highlighted ongoing research work, open challenges, and research trends in the ﬁeld of fog computing.”
Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges (2020, background): “Therefore, there are three hierarchical architectures [58] that can be used for fog computing layer in the green IoT-based agriculture.”