Research on Intelligent Scheduling Algorithm Integrated with Edge Computing

To address the issues of slow response and low resource utilization in traditional centralized scheduling under high-load scenarios, we propose an intelligent scheduling algorithm integrated with edge computing (EC-IS). The algorithm enables dynamic resource allocation and load optimization through the collaboration between edge nodes and the central node. It adopts a multi-objective optimization model to balance key metrics such as scheduling costs, task completion time, resource utilization, and system stability. Experimental results demonstrate that EC-IS outperforms existing related algorithms in terms of scheduling costs, task completion time, resource utilization, and system stability, offering an efficient and reliable intelligent power scheduling solution.