A Survey of Fog Computing: Concepts, Applications and Issues

By Shanhe Yi, Cheng Li, Qun A. Li. Mobidata@MobiHoc, 2015

1,384 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/9263499d59fdc184ff097b37d0b00a35927e4632

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

A Survey on Software-Defined Wireless Sensor Networks: Challenges and Design Requirements (2017, background): “…below provides a state of measure regarding the extent of SDN applications: SDN in traditional networks [12]–[16], [128], SDN in wireless networks [15], [18], [34], SDN in cloud computing [20]–[22], SDN in Fog computing [23], [24], SDN in mobile cloud computing [25], [26], SDN in IoT [22], [27].”
Security and Privacy in Fog Computing: Challenges (2017, background): “A brief overview of fog security and privacy issues is discussed in [15] and [16].”
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison (2018, background): “With powerful storage and computing power of cloud computing, big data analysis models and algorithms are run to organize, analyze, and mine these raw data [4], [5], to obtain valuable knowledge.”
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges (2018, background): “[39] presented a study that deals with several issues and various met-”
Edge-computing-driven Internet of Things: A Survey (2022, neutral): “The progress of smartphones and smart glasses has increased the popularity of augmented reality applications [192].”
DeepCham: Collaborative Edge-Mediated Adaptive Deep Learning for Mobile Object Recognition (2016, background): “Thus an edge-based solution is required which ideally would perform adaptation training on the mobile phones.”
Survey on fog computing: architecture, key technologies, applications and open issues (2017, background): “Some works have discussed the problem of authentication and trust in the fog however none of them have given a holistic solution (Yi et al., 2015c).”
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions (2018, background): “Remote execution of ofﬂoaded mobile services is done with the support of MCC near end users [33], [34].”
A Survey on Mobile Edge Computing: The Communication Perspective (2017, neutral): “Computing and Networking [4], [12], [13].”
A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications (2017, background): “Digital Object Identiﬁer 10.1109/JIOT.2017.2683200 services for customers or applications in the space between networking central servers and end-users [16], [147].”
Mobile Edge Computing: A Survey (2018, background): “This provides the end-user with swift and powerful computing, energy efﬁciency, storage capacity, mobility, location, and context awareness support [11], [12].”
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, neutral): “Fog nodes cover a wide range of devices, such as routers, wireless access points (APs), and data centers [58].”
UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities (2018, background): “The major difference between edge and fog computing is that fog computing identifies itself more in an IoT perspective [38].”
Fog Computing: Platform and Applications (2015, background): “Our previous survey [15] has further highlighted fog computing in augmented reality, content delivery and mobile big data analytics.”
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, methodology): “With the proposed architectures and frameworks, the applications of fog computing have been explored to support various IoT systems and services, including augmented reality [16], pervasive health monitoring [40], energy management [41] and website categories [42].”