Research on Optimized Pre-copy Algorithm of Live Container Migration in Cloud Environment

Some load imbalance problems emerge under the distributed cloud computing platform based on container. And it is necessary to transfer the container in the higher load server to another relatively idle servers. The traditional pre-copy algorithm ignores the characteristics of the memory pages, which causes memory pages with high re-modified rate copying many times in the iterative copy phase. Therefore, this paper proposes an optimized pre-copy algorithm (OPCA) which introduces a Gray-Markov prediction model. Memory pages are added with high re-modified rate into the Hot Workspace by the prediction model, and these memory pages are involved in the stop-copy. The experiments show that OPCA reduces the number of iterations and downtime. Moreover, it also improves the utilization of resources and enhances the user's experience.