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Take the lowest overall energy consumption of container cloud platform resources as the goal to design a low-energy deployment method of container cloud resources based on greedy algorithm. Under the constraints of the correspondence between the physical host and the virtual machine and the correspondence between the virtual machine and the container, the container cloud resource energy consumption model is constructed by combining the static and dynamic parts. Through the two steps of resource virtualization and redundancy removal, the integration results of container cloud resources are obtained. Detect the load status of physical machines, determine the source and target physical machines of virtual machine migration, use greedy algorithm to balance and schedule the load of container cloud resources, and finally realize the low-energy deployment of container cloud resources through the arrangement and reorganization of container cloud resources. By comparing with the traditional deployment methods, it is concluded that under the optimized design deployment method, the utilization and load balance of container cloud resources are significantly improved, and the energy loss is reduced.