Fog node discovery and selection: A Systematic literature review

Fog computing is a new computing paradigm that extends cloud services by providing computing resources in the form of fog nodes closer to the edge devices. Fog computing supports mobility, location-awareness, low latency, and saves network bandwidth to efficiently process and store the data generated by edge devices. A prerequisite to achieve these aims is first the discovery of optimal fog nodes before selecting the most appropriate one/s. To achieve these aims, there are various selection criteria that need to be satisfied. The aim of this study is to provide a detailed overview of the state of the art in the area of fog node discovery and selection. To achieve this aim, we first define the different requirements that need to be met in identifying optimal fog nodes. We then identify the existing literature between 2014-2021 and compare them against the defined requirements in identifying optimal fog nodes. Based on the analysis, we present the gaps and open issues in the existing literature relating to optimal fog node discovery and selection. (c) 2022 Elsevier B.V. All rights reserved.

Automated summary

This study aims to provide a detailed overview of the state of the art in the area of fog node discovery and selection. Based on the analysis of existing literature, gaps and open issues related to optimal fog node discovery and selection are identified.