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

Wu Xian; Tang Hongbo; Zhao Yu; Xu Mingyan

doi:10.7544/issn1000-1239.202220602

Journal of Computer Research and Development > 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

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

Information Engineering University, Zhengzhou 450001

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Author Bio:
Wu Xian: born in 1989. Master candidate. His main research interest includes mobile communication networks and security

Tang Hongbo: born in 1968. Professor, PhD supervisor. His main research interest includes mobile communication networks and security

Zhao Yu: born in 1984. Assistant professor. His main research interest includes mobile communication networks and security

Xu Mingyan: born in 1974. Associate professor. Her main research interest includes mobile communication networks and security
Received Date: June 28, 2022
Revised Date: April 13, 2023
Available Online: November 09, 2023

Graphical Abstract

Abstract

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.
- container real-time migration,
- network latency,
- service downtime,
- iterative migration,
- cross-cluster

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References (15)

References

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