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    吴宪, 汤红波, 赵宇, 许明艳. 一种有状态容器跨集群实时迁移方法[J]. 计算机研究与发展, 2024, 61(2): 494-502. DOI: 10.7544/issn1000-1239.202220602
    引用本文: 吴宪, 汤红波, 赵宇, 许明艳. 一种有状态容器跨集群实时迁移方法[J]. 计算机研究与发展, 2024, 61(2): 494-502. DOI: 10.7544/issn1000-1239.202220602
    Wu Xian, Tang Hongbo, Zhao Yu, Xu Mingyan. A Cross-Cluster Real-Time Migration Method for Stateful Container[J]. Journal of Computer Research and Development, 2024, 61(2): 494-502. DOI: 10.7544/issn1000-1239.202220602
    Citation: Wu Xian, Tang Hongbo, Zhao Yu, Xu Mingyan. A Cross-Cluster Real-Time Migration Method for Stateful Container[J]. Journal of Computer Research and Development, 2024, 61(2): 494-502. DOI: 10.7544/issn1000-1239.202220602

    一种有状态容器跨集群实时迁移方法

    A Cross-Cluster Real-Time Migration Method for Stateful Container

    • 摘要: 虚拟容器的跨集群实时迁移技术是网络服务云化应用中的一项重要技术. 容器实时迁移技术的优化能够达到缩短云端服务停机时间的目的,在实际应用中有重要的现实意义. 目前针对跨集群容器实时迁移优化的研究相对较少,其中迭代迁移是一种能够有效缩短停机时间的迁移方式,但这项技术在实际应用中还存在很多需要解决的问题. 针对跨集群场景中网络延迟对服务停机时间产生的影响提出了一种容器实时迁移方法,该方法着重考虑集群间的网络延迟,并据此建立了数学模型. 通过数学模型理论分析了跨集群迁移过程中网络延迟对迁移性能的影响,确定了启用迭代迁移方法的起始条件和迭代过程的终止条件,并给出了计算满足终止条件迭代次数的方法. 该模型充分考虑了网络延迟对跨集群容器实时迁移的影响. 实验结果表明该方法能够有效缩短服务停机时间.

       

      Abstract: The real-time migration technology of cross-cluster stateful virtual containers is an important technology in the cloud application of network services. The optimization of stateful container real-time migration technology can achieve the purpose of shortening the downtime of cloud services, which is of great practical significance in practical applications. At present, there are relatively few studies on cross-cluster container real-time migration optimization, of which iterative migration is a migration method that can effectively reduce downtime, but there are still many problems to be solved in practical applications of this technology. Firstly, a container real-time migration method is proposed for the impact of network latency on the service downtime in cross-cluster scenarios, which focuses on the network latency between clusters, and a mathematical model is established accordingly. Secondly, The influence of network latency on migration performance during cross-cluster migration is analyzed by mathematical model theory, which determines the starting conditions and the termination conditions for enabling the iterative migration process, and gives the method to calculate the number of iterations that satisfy the termination condition. The proposed model fully considers the impact of network latency on cross-cluster container real-time migration, and experimental results show that the proposed method can effectively reduce service downtime.

       

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