The current research on distribution network terminals based on micro-service and container architecture overlooks the impact of virtualization latency in micro-service scheduling, restricting its application in scenarios with high real-time requirements such as protection and control services. To address this limitation, a micro-service scheduling framework and strategy are proposed for protection and control terminals in distribution networks based on micro-service and container architecture. Initially, an analysis is conducted on the latency performance requirements of protection and control services in the terminal and the impact of virtualization latency, leading to the formulation of a protection and control micro-service scheduling framework. Subsequently, the protection and control micro-service scheduling model is established, encompassing micro-service models, latency models, and metrics models. A micro-service scheduling strategy based on queue state transitions is then proposed. Finally, extensive case simulations are conducted, where the effectiveness of the proposed scheduling strategy is validated and Further optimization of the scheduling strategy is performed. The result indicates that the proposed scheduling strategy can effectively avoid the impact of virtualization delay, and First-Come-First-Serve (FCFS) algorithm achieves better overall performance.