Research on the Application of Computer Artificial Intelligence Technology in Digital Cloud Computing

This paper proposes a closed-loop integrated learning resource management model based on data acquisition, storage management and service access. With the help of data virtualization and other related ideas and methods, the heterogeneous data can be effectively fused to achieve the purpose of data sharing. A load balancing method based on network topology is designed. The algorithm classifies physical machine nodes in a cluster by performance, and then selects the target host based on probability in the classification queue to migrate overloaded VMS. The simulation experiments on ClouSim show that the proposed method can effectively improve the resource utilization in the cluster and achieve a good network load balancing effect.