All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey
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Abstract (arXiv)
With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages for us. With this growth, fog computing, along with its related edge computing paradigms, such as multi-access edge computing (MEC) and cloudlet, are seen as promising solutions for handling the large volume of security-critical and time-sensitive data that is being produced by the IoT. In this paper, we first provide a tutorial on fog computing and its related computing paradigms, including their similarities and differences. Next, we provide a taxonomy of research topics in fog computing, and through a comprehensive survey, we summarize and categorize the efforts on fog computing and its related computing paradigms. Finally, we provide challenges and future directions for research in fog computing.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Aug 2018.
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Citing papers per year: 2021: 2; 2022: 7; 2023: 2; 2024: 3.
14 papers.
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- 2022GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edgecited by 32
- 2022The Future of Consumer Edge-AI Computingcited by 12
- 2022Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniquescited by 7
- 2022Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature reviewcited by 6
- 2022Intelligent Computing: The Latest Advances, Challenges and Futurecited by 6
- 2021GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environmentscited by 5
- 2022Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networkscited by 5
- 2021Unsupervised detection and open-set classification of fast-ramped flexibility activation eventscited by 2
- 2022Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networkscited by 2
- 2023Edge AI for Internet of Energy: Challenges and Perspectivescited by 1
- 2023QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computingcited by 0
- 2024A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcingcited by 0
- 2024Distributed Convolutional Neural Network Training on Mobile and Edge Clusters11 Sep 2024
- 2024Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization13 Jun 2024
- 2024A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing20 Jan 2024
- 2023Edge AI for Internet of Energy: Challenges and Perspectives28 Nov 2023
- 2023QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing4 Nov 2023
- 2022Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques28 Nov 2022
- 2022Intelligent Computing: The Latest Advances, Challenges and Future21 Nov 2022
- 2022The Future of Consumer Edge-AI Computing19 Oct 2022
- 2022Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review29 Apr 2022
- 2022Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks21 Feb 2022
- 2022Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks21 Feb 2022
- 2022GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge19 Jan 2022
- 2022GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edgecited by 32
- 2022The Future of Consumer Edge-AI Computingcited by 12
- 2022Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniquescited by 7
- 2022Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature reviewcited by 6
- 2022Intelligent Computing: The Latest Advances, Challenges and Futurecited by 6
- 2021GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environmentscited by 5
- 2022Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networkscited by 5
- 2021Unsupervised detection and open-set classification of fast-ramped flexibility activation eventscited by 2
- 2022Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networkscited by 2
- 2023Edge AI for Internet of Energy: Challenges and Perspectivescited by 1
- 2023QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computingcited by 0
- 2024A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcingcited by 0
12 most cited of 14 All 14 (JSON)
- 2024Distributed Convolutional Neural Network Training on Mobile and Edge Clusters11 Sep 2024
- 2024Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization13 Jun 2024
- 2024A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing20 Jan 2024
- 2023Edge AI for Internet of Energy: Challenges and Perspectives28 Nov 2023
- 2023QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing4 Nov 2023
- 2022Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques28 Nov 2022
- 2022Intelligent Computing: The Latest Advances, Challenges and Future21 Nov 2022
- 2022The Future of Consumer Edge-AI Computing19 Oct 2022
- 2022Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review29 Apr 2022
- 2022Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks21 Feb 2022
- 2022Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks21 Feb 2022
- 2022GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge19 Jan 2022
12 newest of 14 All 14 (JSON)