A Survey on Scheduling the Task in Fog Computing Environment

TL;DR

This survey reviews recent research on task scheduling challenges in fog computing, highlighting key issues, approaches, and future directions to improve efficiency near edge devices for IoT applications.

Contribution

It provides the first comprehensive analysis of task scheduling challenges in fog computing and organizes existing approaches and future research directions.

Findings

Identified main challenges in fog task scheduling

Organized existing scheduling approaches

Highlighted future research directions

Abstract

With the rapid increase in the Internet of Things (IoT), the amount of data produced and processed is also increased. Cloud Computing facilitates the storage, processing, and analysis of data as needed. However, cloud computing devices are located far away from the IoT devices. Fog computing has emerged as a small cloud computing paradigm that is near to the edge devices and handles the task very efficiently. Fog nodes have a small storage capability than the cloud node but it is designed and deployed near to the edge device so that request must be accessed efficiently and executes in time. In this survey paper we have investigated and analysed the main challenges and issues raised in scheduling the task in fog computing environment. To the best of our knowledge there is no comprehensive survey paper on challenges in task scheduling of fog computing paradigm. In this survey paper research is conducted from 2018 to 2021 and most of the paper selection is done from 2020-2021. Moreover, this survey paper organizes the task scheduling approaches and technically plans the identified challenges and issues. Based on the identified issues, we have highlighted the future work directions in the field of task scheduling in fog computing environment.