A Survey on Scheduling the Task in Fog Computing Environment
Faiza Ishaq, Humaira Ashraf, Nz Jhanjhi

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…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Context-Aware Activity Recognition Systems · IoT Networks and Protocols
