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Stateful Container Migration employing Checkpoint-based Restoration for Orchestrated Container Clusters

机译:有状态的容器迁移,对编排的容器集群采用基于检查点的还原

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Recently, container-leveraged cloud computing technology is being adopted in a wide range of ICT areas. For a more effective management of diversified containers over multiple machine nodes, several container orchestrators including Kubernetes have been utilized in production cloud environments. Due to reliability reasons, stateful containers in an orchestrated container cluster are sometimes required to be migrated to other clusters. Typically, a storage-based migration approach is commonly adopted despite its considerable downtime, which also requires the application-level implementation of storage components for state save and restore. Thus, in this paper, we propose a checkpoint-based approach of stateful container migration for orchestrated container clusters. By checkpointing and restoring in-memory states of processes that are running in the containers with CRIU (Checkpoint/Restore in Userspace) feature, container migration can be realized without the application-level implementation of storage components. We then verify the proposed approach at a PoC(Proof-of-Concept) level by managing the associated migration procedure with the container orchestrator.
机译:最近,在广泛的ICT领域采用了集装箱利用云计算技术。对于多个机器节点的多个多样化集装箱的更有效管理,在生产云环境中使用了几种包括Kubernetes的集装改乐器。由于可靠性原因,策划容器集群中的状态容器有时需要将其迁移到其他集群。通常,虽然其可相当大的停机,通常采用基于存储的迁移方法,这也需要用于状态保存和恢复的存储组件的应用程序级别实现。因此,在本文中,我们提出了一种基于检查点的策划容器群体的有状态集装箱迁移的方法。通过检查和恢复在包含CRIU(ChecionPoint / Restore)功能中运行的容器中运行的进程内存中的内存状态,可以在没有存储组件的应用程序级实现的情况下实现容器迁移。然后,我们通过使用容器Orchestrator管理关联的迁移过程来验证PoC(概念验证)级别的提出方法。

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