IAAs based resource scheduling for mechanical equipment

Abstract

With the help of mature Internet technology, cloud computing can be applied to mechanical equipment maintenance and operation to change the traditional mode, save costs and ensure safety. This paper builds mechanical equipment simulation training mode with the help of cloud computing "IAAs", analyzes the characteristics of "center cloud terminal" task demand, resource allocation, etc. A resource scheduling method based on reinforcement learning is proposed. By improving the scheduling algorithm and introducing supervised learning, self iterative updating is carried out, and finally the optimal allocation strategy of resources is found.