Fog computing is considered as a distributed computing and storage resource. It is placed near to users rather than cloud computing to reduce latency in Internet of Things sensitive time applications. Several scheduling algorithms were proposed in fog environment to achieve better performance in terms of execution time, cost, latency and quality of services. In this research, a complete study of the different scheduling approaches in the fog computing is illustrated. Also, an operational classification of up-to-date algorithms is highlighted with detailed comparison of their performance metrics.
Ali et al. (Thu,) studied this question.