Design of a Storage Service Operation Model for Cloud Service Cost Reduction 


Vol. 50,  No. 10, pp. 1568-1577, Oct.  2025
10.7840/kics.2025.50.10.1568


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  Abstract

As cloud adoption proliferates and operational costs increase, interest in Finance and DevOps(FinOps) for cost management is growing. Existing studies have focused on reducing storage costs through techniques such as remote relocation and compression, but simple optimization is limited as data and inter-dependencies increase. This study proposes a hierarchical storage deployment model that uses the services of a single cloud service provider(CSP) optimized for a 3-tier system consistring of WEB, WAS, and DB components. This model shows 56% annual cost reduction compared to a single model approach. Recurrent Neural Network (RNN)-based Long Short-Term Memory (LSTM) machine learning predicts budget overruns with an error rate of 18%. This study supports cost reduction and effective FinOps in cloud operations.

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[IEEE Style]

S. Park and Y. Kim, "Design of a Storage Service Operation Model for Cloud Service Cost Reduction," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 10, pp. 1568-1577, 2025. DOI: 10.7840/kics.2025.50.10.1568.

[ACM Style]

Sun-chul Park and Young-han Kim. 2025. Design of a Storage Service Operation Model for Cloud Service Cost Reduction. The Journal of Korean Institute of Communications and Information Sciences, 50, 10, (2025), 1568-1577. DOI: 10.7840/kics.2025.50.10.1568.

[KICS Style]

Sun-chul Park and Young-han Kim, "Design of a Storage Service Operation Model for Cloud Service Cost Reduction," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 10, pp. 1568-1577, 10. 2025. (https://doi.org/10.7840/kics.2025.50.10.1568)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880