Fog Computing Applications: Taxonomy and Requirements

TL;DR

This paper analyzes 30 fog computing applications to establish a taxonomy and identify key requirements for future platforms supporting latency-critical and data-intensive applications.

Contribution

It provides a comprehensive taxonomy and requirement analysis for fog computing applications, guiding future platform development.

Findings

Identified diverse application requirements for fog computing.

Developed a taxonomy categorizing fog applications.

Outlined key platform requirements for supporting these applications.

Abstract

Fog computing was designed to support the specific needs of latency-critical applications such as augmented reality, and IoT applications which produce massive volumes of data that are impractical to send to faraway cloud data centers for analysis. However this also created new opportunities for a wider range of applications which in turn impose their own requirements on future fog computing platforms. This article presents a study of a representative set of 30 fog computing applications and the requirements that a general-purpose fog computing platform should support.