The Journal of Bigdata (한국빅데이터학회지)

Korea Bigdata Society (한국빅데이터학회)
권호 표지
DOI QR코드

DOI QR Code

Cloud-Native Expansion: Strategies for Encouraging Cloud Adoption in the Public Sector Through Qualitative and Quantitative Research Methods

Cloud-Native의 확산: 정성적·정량적 연구기법을 이용한 공공부문의 클라우드 활성화 방안

  • 이재혁 (경북대학교 경영학부) ;
  • 김상현 (경북대학교 경상대학 경영학부)
  • Received : 2023.11.09
  • Accepted : 2023.12.11
  • Published : 2023.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Cloud Native refers to the Technical Maturity Level of a cloud environment that can utilize all cloud resources to fully function. In converting public sector information resources to the cloud, the characteristics of the cloud are not being used well. Therefore, in this study, the qualitative research method cloud expert interview technique and the quantitative research method used text network analysis for domestic and foreign related articles. Through this, we analyzed the utilization trends related to domestic and foreign cloud natives and the cloud policies of developed countries. Through previous research, the core components of cloud-native were examined, and the need for agile methodologies that were not addressed in previous studies was raised. It is believed that these core components will be applied in the public sector to contribute to business innovation through digital innovation. In addition, this study aims to provide important implications for the use of cloud native in Korea through an in-depth discussion on how to spread cloud native in the public sector.

클라우드 네이티브(Cloud Native)는 클라우드 환경에서 모든 클라우드 자원을 활용하여 완벽히 작동할 수 있는 기술적 발전 상태(Technical Maturity Level)를 의미한다. 공공부문의 정보자원을 클라우드로 전환하는데 있어 클라우드의 특성을 잘 활용하지 못하고 있는 실정이다. 이에 본 연구에서는 정성적 연구방법인 클라우드 전문가 인터뷰 기법과 정량적인 연구 방법으로 국내·외 관련 기사를 대상으로 텍스트 네트워크 분석을 이용하였다. 이를 통해 국내·외 클라우드 네이티브와 관련된 활용 동향 및 선진국의 클라우드 정책을 분석하였다. 선행연구를 통해 클라우드 네이티브 핵심 구성요소를 알아보고, 기존 연구에서 다루어지지 않은 애자일 방법론의 필요성을 제기하였다. 이러한 핵심 구성요소를 공공부문에서 적용하여 디지털 혁신을 통한 업무혁신에 기여할 것으로 생각된다. 또한, 본 연구에서는 공공부문의 클라우드 네이티브의 확산 방안에 대한 심도 있는 논의를 통해 국내 클라우드 네이티브 활용에 대한 중요한 시사점을 제공하고자 한다.

Keywords

References

  1. 김성묵, 김영준(2020). 텍스트 마이닝을 이용한 리빙랩 연구동향 분석. 디지털융복합연구, 18(8), 37-48. https://doi.org/10.14400/JDC.2020.18.8.037
  2. 한찬휘, 권태훈, 김태인, 박승규, 김범택, 구명환 (2022), 위기 상황 예측 AI 시스템을 활용한 클라우드 네이티브 구축과 모니터링, 한국통신학회 하계종합학술발표회.
  3. 제3차 클라우드컴퓨팅 기본계획('22~'24) 제14차 정보통신전략위원회, 2021.
  4. Alonso, J., Orue-Echevarria, L., Casola, V. et al. (2023), "Understanding the challenges and novel architectural models of multi-cloud native applications - a systematic literature review", Journal of Cloud Computing (2023) 12:6.
  5. A. Rashid, Amit Chaturvedi, "Cloud Computing Characteristics and Services: A Brief Review", INTERNATIONAL Journal of Computer Sciences and Engineering, Review Paper Vol.7, February 2019.
  6. Davide Taibi, Valentina Lenarduzzi, Claus Pahl, Andrea Janes(2017). "Microservices in Agile Software Development: a Workshop Based Study into Issues, Advantages, and Disadvantages, Cologne, Germany.
  7. Global Data(2021.4), "United Kingdom (UK) Government Cloud Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021-2026)".
  8. Hovland, C.I., Janis, I.L., & Kelley, H.H.(1953). "Communication and persuasion". Yale University Press.
  9. Jiang, Z. and Benbasat, I.(2007), "The effects of presentation formats and task complexity on online consumers' product understanding", MIS Quarterly, Vol. 31 No. 3, pp. 475-500. https://doi.org/10.2307/25148804
  10. K. Stojanovic-Slabeva et al.(2010), "Cloud computing: Benefits, risks and recommendations for information security.
  11. Feifei Li(2019), "Cloud-Native Database Systems at Alibaba: Opportunities and Challenges". PVLDB. 12(12): 2263-2272 https://doi.org/10.14778/3352063.3352141
  12. Kim, J., Kim, J., & Kim, C.(2019). Cloud Native DevOps: Application Delivery in the Kubernetes World. Springer.
  13. L. De Lauretis(2019), "From Monolithic Architecture to Microservices Architecture" ISSREW.
  14. Michael Wurster et al.(2020), "Cloud native Deploy-ability: An Analysis of Required Features of Deployment Technologies to Deploy Arbitrary Cloud-native Applications", 10th International Conference on Cloud Computing and Services Science.
  15. Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture.
  16. Morisio et al.(2019), "The impact of organizational culture on DevOps implementation success" by.
  17. N. Kratzke and Quint, PC. (2017), "Understanding cloud-native applications after 10 years of cloud computing - A systematic mapping study", The Journal of Systems and Software 126 (2017) 1-16. https://doi.org/10.1016/j.jss.2017.01.001
  18. Research and Markets(2020.11), "Singapore Cloud Native Computing Market - Growth, Trends, and Forecasts (2020-2025)".
  19. Sam Newman(2015), "Building Microservices: Designing Fine-Grained Systems", O'Reilly Media, Inc.
  20. Severin, W.(1967), "Another look at cue summation", Educational Technology Research and Development, Vol. 15 No. 3, pp. 233-245
  21. Syed Danial ali Ahah, Mark A. Gregory, and Shuo Li(2021), "Cloud-Native Network Slicing Using Software Defined Networking Based MultiAccess Edge Computing: A Survey", IEEE.
  22. TechSci Research(2021.), "Singapore Cloud Computing Market By Service Type, By Type, By Deployment Mode, By End User, Competition, Forecast & Opportunities, 2026".
  23. Turney, P. D., & Pantel, P. (2010). "From frequency to meaning: Vector space models of semantics". Journal of Artificial Intelligence Research, 37, 141-188. https://doi.org/10.1613/jair.2934
  24. Vettor, R. and Smith, S.(2022), "Architecting Cloud-Native .NET Apps for Azure", Microsoft 2022.
  25. Xu, Q., & Sundar, S. S.(2017). "Examining the effects of multiple cues in online reviews on perceived diagnosticity and usefulness of product information". Journal of Computer-Mediated Communication, 22(1), 1-16.
  26. D. Bird, "Direct Marketing Is as Relevant Now as It Was in 1900," Marketing, pp.28, 2000.