Dynamic Scheduling Management Method for Multi-energy System Digital Twin Simulation Computing Tasks

Digital twin technology provides dynamic planning, operation optimization and other complex business applications for multi-energy system based on high-performance simulation computing. As it involves the scheduling and management of massive simulation computing tasks, how to assign simulation computing tasks to computing servers in a balanced manner and minimize the completion time of all tasks are the key to scheduling. Analyzed and discussed the existing problems of task scheduling algorithms, based on this, combined with the characteristics of simulation computing tasks, this paper proposes a dynamic scheduling management method for multi-energy system digital twin simulation computing tasks. Taking into account the characteristics of stable computing completion time for simulation computing tasks, a comprehensive priority index is designed to quantify the execution sequence of simulation computing tasks, then based on this comprehensive priority index, a task assignment mechanism as the goal of minimizing computing completion time of application is proposed. Illustrate the rationality and efficiency of this scheduling management method for simulation computing tasks through a specific case.