TASK SCHEDULING IN FOG COMPUTING ENVIRONMENT: AN OVERVIEW

Abstract

The number of Internet of Things (IoT) devices and sensors has significantly expanded in recent years. In general, fog computing increases cloud-based processing, storage, and networking capabilities by being located closer to IoT devices and sensors. Task scheduling is used to finish work in a set amount of time using a finite number of resources. The completion of tasks within the allotted time in fog computing is a key difficulty due to the increased amount of data that needs to be processed. Additionally, in order to identify current research gaps in the field of fog, we map the existing works to the taxonomy. This article offers a broad overview of various task and resource scheduling techniques used in fog computing. It examines and contrasts several techniques created for a fog computing environment to ascertain their contributions and limitations. Moreover, it offers encouraging study directions for other researchers working in this area.