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Data Standardization Method for Quality Management of Cloud Computing Services using Artificial Intelligence  

Jung, Hyun Chul (Dept. of Management Engineering, Graduate School, Sangmyung Univ.)
Seo, Kwang-Kyu (Dept. of Management Engineering, Graduate School, Sangmyung Univ.)
Publication Information
Journal of the Semiconductor & Display Technology / v.21, no.2, 2022 , pp. 133-137 More about this Journal
Abstract
In the smart industry where data plays an important role, cloud computing is being used in a complex and advanced way as a convergence technology because it has and fits well with its strengths. Accordingly, in order to utilize artificial intelligence rather than human beings for quality management of cloud computing services, a consistent standardization method of data collected from various nodes in various areas is required. Therefore, this study analyzed technologies and cases for incorporating artificial intelligence into specific services through previous studies, suggested a plan to use artificial intelligence to comprehensively standardize data in quality management of cloud computing services, and then verified it through case studies. It can also be applied to the artificial intelligence learning model that analyzes the risks arising from the data formalization method presented in this study and predicts the quality risks that are likely to occur. However, there is also a limitation that separate policy development for service quality management needs to be supplemented.
Keywords
Cloud computing service; Cloud quality and performance management; Data normalization; Big data; Artificial intelligence;
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