A Survey Study and Analysis of Task Scheduling Approaches for the Major Computing Environments

Abstract

Nowadays, task scheduling is the central point of attraction with respect to cloud computing. Retrieve, store, or compute /analyse data on the cloud are typical types of such tasks. Due to the huge amount of data that are found on the cloud and the need for deep analysis and heavy computation; the importance of task scheduling in an appropriate way for execution increases. In this paper, we present diverse types of algorithms for task scheduling on different environments namely: cloud, grid, and fog under the two widely known types of task representations (task-based and workflow-based).