Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Study on Tendency of Cloud Computing Using R and LDA Technique : Focusing on Tendency of Overseas Studies

R과 LDA 기법을 활용한 클라우드 컴퓨팅 동향에 관한 연구: 해외 연구 동향을 중심으로

  • Kang, Tae-Gu (Dept. of IT Business Administration, Konyang Cyber University)
  • 강태구 (건양사이버대학교 IT비즈니스학과)
  • Received : 2022.04.20
  • Accepted : 2022.05.20
  • Published : 2022.05.28
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Abstract

The full-fledged digital age derived from the fourth industrial revolution and the impact of COVID-19 lead to changes in various fields, including companies. In other words, the importance of cloud computing is being emphasized in the rapidly changing digital environment due to the rapid growth of the cloud market due to the rapid increase in digital services. The cloud may be one of the representative strategies for sustainable growth and survival in various fields as well as related industries. Although there have been a variety of studies on the cloud, the tendency of them has been not been adequately examined. This paper, therefore, analyzed the tendency of studies on the cloud computing. by using SCOPUS, the database of overseas academic journals using both R and LAD technique. The findings showed that many studies with high interest in the cloud computing have been conducted, the cloud computing were most often drawn from an analysis on key words. Moreover, various key words, including cloud, cloud and computing, data and computing were drawn, except for the theme of cloud computing. It is expected that could be used as a basic data, in that they provide the foundation for activating the related industries in terms of practice of the cloud computing.

4차 산업혁명에서 비롯된 디지털 시대의 본격화와 COVID-19의 영향으로 기업뿐만 아니라 다양한 분야에서 변화가 일어나고 있는 상황이다. 디지털 서비스의 급격한 증가로 인해 클라우드 시장 또한 성장 가속화로 빠르게 변화하는 디지털 환경에서 중요성이 더욱더 강조되고 있는 실정이다. 이에 관련 산업뿐만 아니라 다양한 분야에서 클라우드는 지속적인 성장과 생존전략을 위한 대표적인 전략 중 하나라고 할 수 있다. 클라우드 관련 연구는 다양하게 진행되고 있지만 연구 동향은 미흡한 실정이다. 이에 본 논문은 R과 LDA 기법을 활용한 외국 학술 데이터 베이스인 SCOPUS를 활용하여 클라우드 컴퓨팅의 연구 동향을 분석하였다. 분석 결과 클라우드 컴퓨팅 관련 높은 관심으로 수많은 연구가 진행되고 있는 것으로 나타났고, 키워드 분석 결과 클라우드 컴퓨팅이 가장 많이 도출되었다. 클라우드 컴퓨팅 주제 외에도 클라우드, 클라우드와 컴퓨팅, 데이터, 컴퓨팅의 다양한 주요 키워드들이 도출되었다. 본 연구 결과는 클라우드 컴퓨팅 동향 파악을 위한 실무적인 측면에서 관련 산업 활성화에 밑거름을 제공할 수 있는 기초자료로 활용될 것으로 기대된다.

Keywords

References

  1. S. M. Yoo. (2017). The era of the 4th industrial revolution is just around the corner. Success depends on the ICBM platform, Dong-A Business Review. https://dbr.donga.com/article/view/1206/article_no/8015#header
  2. D. H. Kim. (2021). "The Cloud Is The New Digital Experience Center" Gartner. CIO KR. https://www.ciokorea.com/newsz
  3. P. Mell & T. Grance. (2011). The NIST definition of cloud computing., NIST Special Publication, 800-145.
  4. J. W. Park. (2011). A Study on the Selection Method of Cloud Computing Service Using AHP. Master's dissertation. MYONGJI University, Seoul.
  5. S. Marston, Z. Li, S. Bandyopadhyay, J. Zhang & A. Ghalsasi. (2011). Cloud Computing-The Business Perspective. Decision Support Systems, 51(1), 176-189. https://doi.org/10.1016/j.dss.2010.12.006
  6. Wikipdia. (2022). Cooud Computing. Wikmedia project.
  7. KISA. (2013), Recent Cloud Computing Service Trends. Naju. KISA. All rights reserved.
  8. T. G. Kang, (2021). A Study On RelativeImportance of Korea Cyber University Cloud Computing System Success Factors. Master's dissertation. Chungbuk National University, Chungcheongbuk-do Cheongju.
  9. S. S. Gill et al. (2019). Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet of Things, 8, 100118. DOI : 10.1016/j.iot.2019.100118
  10. A. AlTwaijiry. (2021). Cloud Computing Present Limitations and Future Trends. ScienceOpen Preprints.
  11. A. A. Abbasi, A. Abbasi, S. Shamshirband, A. T. Chronopoulos, V. Persico & A. Pescape. (2019). Software-defined cloud computing: A systematic review on latest trends and developments. IEEE Access, 7, 93294-93314. https://doi.org/10.1109/access.2019.2927822
  12. T. H. Jo. (2001). Concept and Application of Text Mining. Journal of Scientific & Technological Knowledge Infrastructure, 5, 76-85.
  13. J. H. Kim & S. S. Kim. (2021). A Study on the Analysis of Agricultural R&D Keywords Using Textmining Method. Journal of the Korea Academia-Industrial cooperation Society, 22(2), 721-732. https://doi.org/10.5762/KAIS.2021.22.2.721
  14. E. M. Park & J. H. Seo. (2019). Effects of shared leadership, psychological empowerment and organizational justice on organizational commitment. Journal of Digital Convergence, 17(6), 177-184. DOI : 10.14400/JDC.2019.17.6.177
  15. S. T. Park & Y. K. Kim. (2019). A study on deriving an optimal route for foreign tourists through the analysis of big data. Journal of Convergence for Information Technology, 9(10), 56-63. DOI : 10.22156/CS4SMB.2019.9.10.056
  16. G. Li, J. S. Dai, E. M. Park & S. T. Park. (2017). A study on the service and trend of Fintech security based on text-mining: focused on the data of Korean online news. Journal of Computer Virology and Hacking Techniques, 13(4), 249-255. DOI : 10.1007/s11416-016-0288-9