Fog Computing Applications

Abstract

The adoption of IoT has increased rapidly due to the abundance in the availability, affordability, and capability of different components like sensors, processors, and communication technologies. This growth has subsequently resulted in the development of the industrial internet of things (IIoT). When it comes to IoT there are four primary paradigms each with its own perks and drawbacks — cloud, edge, fog, and mist computing. This chapter focuses on fog computing, exploring its applications, services, and the current state of fog computing with emerging technologies. Fog computing extends its capabilities by distributing processing, storage, and networking tasks across cloud, fog, and edge nodes. It enables localized data analysis, real-time decision-making, and improved bandwidth utilization. This chapter focuses on the architectural principles, key components, and use cases of fog computing. It also highlights integrating emerging technologies with fog computing, such as artificial intelligence, machine learning, and blockchain that supports diverse IoT applications.