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 Container Image and State Management in the Tactical Edge Cloud Environment 


Vol. 47,  No. 7, pp. 1010-1016, Jul.  2022
10.7840/kics.2022.47.7.1010


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  Abstract

The tactical edge cloud architecture is provided by using container technology to deploy various functions required in the tactical environment as lightweight workloads. In the tactical cloud, physical resource optimization and disaster recovery must be supported, which can be solved by workload migration that moves workloads elsewhere. Container images and status information are required to support workload migration. However, in a tactical edge cloud environment where the performance of the network is limited, the link to the upper node is unstable, which affects the download speed. Although it can be solved by preparing container images for deploy workload to all nodes, this creates a waste of resources. In this paper, we propose a technique to download the container images and status information of Stateful workloads required for migration from neighboring nodes by applying P2P distributed systems in the aforementioned edge cloud, and verify the speed and storage capacity reduction effect during workload migration through feature implementation.

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  Cite this article

[IEEE Style]

H. Lim and Y. Kim, "Container Image and State Management in the Tactical Edge Cloud Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 7, pp. 1010-1016, 2022. DOI: 10.7840/kics.2022.47.7.1010.

[ACM Style]

Ho-keun Lim and Young-han Kim. 2022. Container Image and State Management in the Tactical Edge Cloud Environment. The Journal of Korean Institute of Communications and Information Sciences, 47, 7, (2022), 1010-1016. DOI: 10.7840/kics.2022.47.7.1010.

[KICS Style]

Ho-keun Lim and Young-han Kim, "Container Image and State Management in the Tactical Edge Cloud Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 7, pp. 1010-1016, 7. 2022. (https://doi.org/10.7840/kics.2022.47.7.1010)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880