Research on Cloud-Fog Computing Task Scheduling Based on Classification Mining

In the Fog Computing environment, it is necessary to study the task scheduling problem of Cloud-fog in order to meet the resource requirements of task scheduling, reduce data transmission during task scheduling, and improve the throughput of Fog Computing systems. By improving and optimizing the classification mining algorithm, the classification mining algorithm is integrated into the Cloud and Fog task scheduling model, integrating the characteristics of Fog and Cloud. A Cloud-Fog fusion task scheduling model based on classification mining and CFCM task scheduling algorithm are proposed in the paper. The algorithm first schedules the corresponding tasks directly to the Fog layer or Cloud layer based on the generated classification rules, and then transfers the tasks to specific computing nodes of Cloud layers or Fog layer. Simulation experiments showed that the CFCM algorithm has better performance in reducing task execution time and average waiting time compared to similar algorithms.