Resource Allocation and Task Scheduling Scheme in Priority-Based Hierarchical Edge Computing System

By offloading intensive computing tasks to the edge cloud, mobile edge computing can meet the end-to-end delay requirements of milliseconds. A hierarchical edge computing offloading framework based on emergency priority is proposed in this paper. A resource allocation and task scheduling optimization scheme based on service emergency priority is proposed to minimize the total delay of the system and ensure the minimum delay experienced by high priority services. Then, in order to ensure that the delay of high priority tasks is still minimum under very dense conditions, a dynamic priority task scheduling algorithm (DPTSA) is designed on the fog server. Simulation results show that the proposed system framework and algorithm can reduce the average delay of system tasks, and significantly reduce the delay of high priority tasks.