Fog Computing: Principles, Architectures, and Applications
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Abstract (arXiv)
The Internet of Everything (IoE) solutions gradually bring every object online, and processing data in centralized cloud does not scale to requirements of such environment. This is because, there are applications such as health monitoring and emergency response that require low latency and delay caused by transferring data to the cloud and then back to the application can seriously impact the performance. To this end, Fog computing has emerged, where cloud computing is extended to the edge of the network to decrease the latency and network congestion. Fog computing is a paradigm for managing a highly distributed and possibly virtualized environment that provides compute and network services between sensors and cloud data centers. This chapter provides background and motivations on emergence of Fog computing and defines its key characteristics. In addition, a reference architecture for Fog computing is presented and recent related development and applications are discussed.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jan 2016.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1.
3 papers.
- 2024Atmosphere: Context and situational-aware collaborative IoT architecture for edge-fog-cloud computing26 Jan 2024
- 2023Security Challenges for Cloud or Fog Computing-Based AI Applications30 Oct 2023
- 2021A Comprehensive Survey on the Convergence of Vehicular Social Networks and Fog Computing30 Nov 2021