As cloud computing rapidly develops, container technology, represented by Docker, has been gradually paid attention to. At present, three common container orchestration tools are Kubernetes, Docker Swarm, and Rancher. However, when the total capacity of all working nodes exceeds the limit, the existing container orchestration tools will have problems such as long response time and large resource occupation. Therefore, the least space unused (LSD) algorithm and least recently used and space unused (LRU-SD) algorithm are designed in this study and applied to three kinds of orchestration tools. When the total capacity exceeds the upper limit, the non-working nodes are deleted and new working nodes are added. In practice, the LSD algorithm deletes the working node with the least remaining space, while the LRU-SD algorithm first considers deleting the longest unused node. When there are multiple qualified nodes, the working node with the least remaining space is deleted. In the experiment part, the impacts of different algorithms on three container orchestration tools are analyzed and compared in terms of response time, CPU, and memory. The experimental results show that the LSD algorithm, the LRU-SD algorithm, and the LRU algorithm can not only improve the response time of the orchestration tools but also increase the utilization of resources. At the same time, the LRU-SD algorithm is the most effective in improving CPU utilization.