Container Migration Using runC and CRIU in Cloud Environments
Abstract
This article investigates container migration in clouds, using runC and CRIU for transferring running/executing applications. The research details the environment setup, including all the tools used. Two applications were utilized: one to demonstrate CRIU’s preservation of active TCP connections, and the other to evidence the influence of data volume on migration time. The conclusion emphasizes the feasibility of container migration to optimize resources and reduce energy consumption in data centers.References
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Piraghaj, S. F., Dastjerdi, A. V., Calheiros, R. N., and Buyya, R. (2015). A framework and algorithm for energy efficient container consolidation in cloud data centers. In 2015 IEEE International Conference on Data Science and Data Intensive Systems, pages 368–375.
Silberschatz, A., Galvin, P., and Gagne, G. (2018). Operating System Concepts. Wiley.
Espe, L., Jindal, A., Podolskiy, V., and Gerndt, M. (2020). Performance evaluation of container runtimes. In Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER, pages 273–281. INSTICC, SciTePress.
Morabito, R., Kjällman, J., and Komu, M. (2015). Hypervisors vs. lightweight virtualization: A performance comparison. In 2015 IEEE International Conference on Cloud Engineering, pages 386–393.
Piraghaj, S. F., Dastjerdi, A. V., Calheiros, R. N., and Buyya, R. (2015). A framework and algorithm for energy efficient container consolidation in cloud data centers. In 2015 IEEE International Conference on Data Science and Data Intensive Systems, pages 368–375.
Silberschatz, A., Galvin, P., and Gagne, G. (2018). Operating System Concepts. Wiley.
Published
2025-05-28
How to Cite
NASCIMENTO, Matheus V. R.; CORDEIRO, Daniel.
Container Migration Using runC and CRIU in Cloud Environments. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM SÃO PAULO (ERAD-SP), 16. , 2025, São José do Rio Preto/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 90-93.
DOI: https://doi.org/10.5753/eradsp.2025.9751.
