TY  - JOUR
T1  - A Design and Implementation of Automated Classification and Analysis System Using K-Means Clustering for Transition of Database to Micro-Services-Architecture
AU  - Park, Sun-chul 
AU  - Kim, Young-han 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.9.1306
KW  - K-means Clustering
KW  - Unsupervised Learning
KW  - Cloud Migration
KW  - MSA
KW  - DBMS Analysis
AB  - The most challenging task in transitioning an integrated database to the cloud is categorizing tables according to the structure. We automated this using machine learning clustering, collecting SQL frequencies, generating time-series data, and applying K-Means. We compared the proposed automation method with manual classification, identified K-Means parameters using Elbow, and showed the automation's effectiveness.