Improving the Efficiency of Container Image Deployment through a Cluster Container Registry 


Vol. 50,  No. 3, pp. 511-518, Mar.  2025
10.7840/kics.2025.50.3.511


PDF Full-Text
  Abstract

Large-scale machine learning models and data analysis applications use container images to process vast amounts of data, and there is a problem of lengthening the distribution time of such images Longer image distribution time slows down the development and distribution cycle, which lowers productivity and can reduce the performance and flexibility of the entire system. In order to solve this problem, we propose ways to improve container image management and distribution efficiency. We focus on how to reduce time and traffic consumption compared to image downloading through the cloud by utilizing cluster container registry (CCR) when distributing images. Experiments were conducted in a Kubernetes, and the efficiency of container image management and distribution process was explored. Compared to the existing method, the distribution time was reduced by an average of 30% in each scenario, with larger image sizes showing even greater improvements.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

J. Jung and Y. Kwon, "Improving the Efficiency of Container Image Deployment through a Cluster Container Registry," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 3, pp. 511-518, 2025. DOI: 10.7840/kics.2025.50.3.511.

[ACM Style]

Jin-Uk Jung and Young-Woo Kwon. 2025. Improving the Efficiency of Container Image Deployment through a Cluster Container Registry. The Journal of Korean Institute of Communications and Information Sciences, 50, 3, (2025), 511-518. DOI: 10.7840/kics.2025.50.3.511.

[KICS Style]

Jin-Uk Jung and Young-Woo Kwon, "Improving the Efficiency of Container Image Deployment through a Cluster Container Registry," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 3, pp. 511-518, 3. 2025. (https://doi.org/10.7840/kics.2025.50.3.511)
Vol. 50, No. 3 Index

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880