基于雾计算的智能工厂实时任务调度架构

A Real-time Task Scheduling Architecture Based on Fog Computing for Smart Factory

针对传统的基于云的任务调度架构中没有充分利用智能工厂的资源,以及远距离传输导致高传输时延的问题,提出了一种基于雾计算的实时任务调度架构。设计了一种基于雾计算的智能工厂网络架构;考虑到工厂任务的时延敏感性和优先级特性,提出了一种基于动态优先级的任务调度模型,该模型被雾节点用来调度和执行等待队列中的任务;基于提出的网络架构和任务调度模型,提出了一种任务卸载策略,该策略可以被用于解决智能工厂中的资源利用问题。仿真结果证明了提出的实时任务调度架构在智能工厂中应用的可行性和有效性。

The computing resource of the smart factory is under-utilized in the traditional cloud based task scheduling architecture,the long transmission distance leads to a large delay,and then a fog computing based real-time task scheduling architecture is proposed.Firstly,a fog computing based smart factory network architecture is designed.Secondly,a dynamic priority based task scheduling model is proposed considering the delay sensitivity and prioritization characteristics of the factory task,which is applied to schedule and execute tasks of each fog nodes.Finally,the task offloading strategy is proposed based on the proposed network architecture and task scheduling model,which can be used to solve the resource utilization problem in smart factory.The simulation results demonstrate that the proposed real-time task scheduling architecture is feasible and effective in the application of smart factory.