mlsanityData to 7 Oct 2026

Fog Computing: A Taxonomy, Survey and Future Directions

arXiv 1611.05539 ↗First posted 17 Nov 2016cs.DCcited by 4

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Abstract (arXiv)

In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a great extent. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing paradigm named "Fog computing" has been introduced. Generally, Fog computing resides closer to the IoT devices/sensors and extends the Cloud-based computing, storage and networking facilities. In this chapter, we comprehensively analyse the challenges in Fogs acting as an intermediate layer between IoT devices/ sensors and Cloud datacentres and review the current developments in this field. We present a taxonomy of Fog computing according to the identified challenges and its key features.We also map the existing works to the taxonomy in order to identify current research gaps in the area of Fog computing. Moreover, based on the observations, we propose future directions for research.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Nov 2016.

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Citing papers per year: 2021: 3; 2022: 0; 2023: 1.

4 papers.