Distributed cloud container resource scheduling method and system

The invention relates to the technical field of resource scheduling, in particular to a distributed cloud container resource scheduling method and system.The method comprises the following steps that based on historical container starting data and using frequency information, a decision tree algorithm is adopted, container mirror images used for multiple times are analyzed and recognized, the operation of pulling and caching the mirror images to local nodes in advance is executed, and the container mirror images used for multiple times are obtained; and adjusting mirror image starting time by utilizing localized storage, and generating a predictive mirror image cache set. According to the method, the container mirror image management is optimized by adopting the decision tree algorithm, the starting time and the response speed of the container are greatly improved, and the requirements of high dynamic load and rapid change are effectively met, so that the resource scheduling efficiency and performance are imp