The invention discloses an intelligent resource optimization method of a container cloud platform based on load prediction, and belongs to the field of container cloud platforms. The method comprisesthe following steps of: based on a grayscale model, predicting the load condition of the next time window of each container instance according to the historical load of the container instance; judgingwhether the load of a node is too high or too low according to the load prediction value of all containers on each physical node; then executing the corresponding scheduling algorithm, migrating somecontainers on the node with over high load to other nodes, so that the load of the node is in a normal range; migrating all container instances on the node with over low load to other nodes so that the node is empty. According to the invention, aiming at the problem that the resource utilization is not balanced and the resource scheduling is delayed in a prior data center, load forecasting analysis is introduced, the load of the data center is scheduled and optimized in advance, the performance loss caused by the over high load of the node and the low resource utilization rate caused by the over low load are avoided, thereby improving the resource utilization efficiency of the platform.