Container cloud resource intelligent scheduling method oriented to LVC simulation

The invention discloses a container cloud resource intelligent scheduling method for LVC simulation, and the method comprises the following steps: carrying out the containerization of frequent interaction tasks through a deep clustering algorithm, and carrying out the clustering combination of the tasks into a same Pod; predicting the dynamically changing load by using a load prediction model based on the combined model; a preemptive scheduling scheme based on a dynamic priority is utilized to determine a scheduling sequence of Pods, then a preemptive rule is combined to ensure that high-priority Pods are deployed and run first and normal scheduling of low-priority Pods is ensured, and finally, an HPA strategy is combined to complete elastic expansion and contraction of cloud simulation resources, so that the cloud simulation resources are flexibly expanded and contracted. According to the method, delay and communication overhead generated by high-frequency virtual-real interaction and communication in cloud