面向边缘节点的资源调度算法设计OA

To address the high-frequency and dynamic access demands of multi-source heterogeneous tasks in edge computing environments,this paper proposes a dynamic network load balancing scheduling algorithm.This algorithm establishes a collaborative mechanism that integrates task priority assessment,real-time node load monitoring,resource trend prediction,and rule-based control.Simulation experiments conducted on the CloudSim-Edge platform show that the proposed algorithm effectively reduces task response delay by 23.7%and improves resource utilization by 18.2%,demonstrating strong adaptability and scheduling accuracy in distributed scenarios.