基于灰狼优化算法的智能电表嵌入式操作系统任务调度算法

Task Scheduling Based on Grey Wolf Optimization Algorithm for Smart Meter Embedded Operating System

基于当前比较先进的灰狼算法,研究其在智能电表操作系统处理服务程序节点的调度原理,提出了一种优化的任务调度算法。该算法完成了智能电表操作系统的计算任务分配,有效缩短了任务的调度时间并确保了多任务调度的实时性,实现了系统的调度均衡,最后通过仿真实验验证了算法的有效性。

In the paper,based on the advanced Gray Wolf algorithm,we study the scheduling principle of the service program nodes in the smart meter operating system.The algorithm completes the computational task assignment of the smart meter operating system,effectively shortens the task scheduling time consumption and ensures the real-time multi-task scheduling,realizes the scheduling balance of the system.The effectiveness of the algorithm is verified through simulation experiments.