边缘计算中多应用容器调度方法OA

Containerization provides a more convenient and faster resource provisioning and management method for cloud and edge computing applications.Resources are limited in the marginal environment,and most of the existing container scheduling algorithms only consider a single application,without considering the resource competition among multiple applications.Therefore,a multi-application container scheduling method for marginal environment is proposed.This method uses long and short term memo-ry network to predict the regional distribution load,uses deep reinforcement learning and environment to continuously interact to ob-tain the optimal number of containers for applications,and solves the resource conflict between applications according to heuristic rules.Experimental results show that the proposed method has lower request violation rate and resource consumption cost than the existing methods.