Cloud computing is a kind of service system mainly controlled by cloud data centers, and the increasing scale of information transmission puts forward higher requirements on its scheduling ability. This paper takes rationalization of resource scheduling as the research objective and launches the research on cloud computing network load imbalance problem. By analyzing the network resource load based on processing time, a cloud computing network load balancing model is constructed. It also proposes a dynamic load balancing strategy for cloud computing network. The strategy utilizes the distributed computing and storage capabilities of the cloud computing platform to reasonably migrate virtual machines online. In this way, it ensures that the load of each server tends to be balanced, so as to realize the dynamic balance and control of cloud computing network load. Under a variety of experimental environments, the model proposed in this paper not only optimizes the average system response time by more than 30%, but also tends to be smoother. It shows that the model can improve the effectiveness of the data analysis problem in the communication process, and then optimize the cloud computing network load balancing.