Fog Computing: A Taxonomy, Survey and Future Directions

TL;DR

This paper provides a comprehensive overview of Fog computing, including its taxonomy, challenges, current research, and future directions, to support IoT applications requiring low latency and proximity to devices.

Contribution

It introduces a taxonomy of Fog computing, reviews existing research, identifies gaps, and suggests future research directions in the field.

Findings

Identified key challenges in Fog computing architecture.

Mapped existing research to the taxonomy to reveal gaps.

Proposed future directions for advancing Fog computing.

Abstract

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.