As a lightweight virtualization solution, container technology can provide resource-limiting capabilities and can run multiple isolated process sets under a single kernel instance. Multitenant preemption leads to competition in computing, storage, and network resources, resulting in degraded computing service performance. Virtualization service migration can provide a solution to the problem of resource shortage in supercomputing systems. However, the resource overhead and delay in the migration process also reduce the efficiency of high-performance computers. To solve this problem, this dissertation designs a migration tool. Firstly, this dissertation proposes a method of container migration. Secondly, this dissertation optimizes the startup of containers from checkpoints and proposes a multicontainer migration strategy, reducing the migration time by 30% compared to sequential migration. The migration method in this paper provides valuable experience for service migration in supercomputers and data centers.

作为轻量级虚拟化解决方案，容器技术可以提供资源限制功能，并且可以在单个内核实例下运行多个隔离的进程集。多租户抢占会导致计算，存储和网络资源竞争，从而导致计算服务性能下降。虚拟化服务迁移可以为超级计算系统中的资源短缺问题提供解决方案。但是，资源开销和迁移过程中的延迟也会降低高性能计算机的效率。为了解决这个问题，本文设计了一种迁移工具。首先，本文提出了一种容器迁移的方法。其次，本文从检查点优化了容器的启动，并提出了多容器迁移策略，与顺序迁移相比，迁移时间减少了30％。本文中的迁移方法为超级计算机和数据中心中的服务迁移提供了宝贵的经验。