Construction and Application of a Big Data Virtual Teaching Experiment System Based on Container Technology

To enhance the efficiency and scalability of virtual teaching experiment systems, a big data virtual teaching experiment system was built using container technology. The system architecture was designed using a container cloud platform that combines Kubernetes and Docker, and big data processing frameworks were utilized to achieve automated scheduling of teaching tasks and resource optimization. Analysis shows that container technology not only improves resource utilization, system response speed, and concurrency processing capabilities, but also enhances the stability and scalability of teaching experiments. This system provides an efficient and flexible experimental platform for modern education, meeting the needs of large-scale data processing and personalized teaching.