Hybrid Optimal Offloading Approach in Fog Computing using PSO

The efficiency and energy of fog computing systems are balanced via task scheduling. the scheduling of jobs using dynamic scheduling methods in response to user demand. Swarm intelligence has recently been proposed, and it is based on multiple work scheduling methods. The scheduling and rescheduling of task policy is the main challenge of controlling edge devices in fog computing environments. The dynamic task scheduling technique suggested for fog computing is the main topic of this paper. The suggested work scheduling algorithm combines ant colony with particle swarm optimisation. The suggested technique focuses on minimising the processing time of data and requests for fog computing. The hybrid algorithm handles virtual machines as local or global according to task policy.