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2021 Vol.9, Issue 4 Preview Page

Research Article

31 December 2021. pp. 33-42
Abstract
인공지능이 미래 핵심 기술로 부상하는 가운데 인공지능 기술 고도화의 근간인 인공지능 학습데이터가 기하급수적으로 증가하면서, 수집 ‧ 가공된 데이터를 안전하게 관리할 수 있는 플랫폼의 중요성이 더욱 증대되고 있다. 이를 위해 데이터 분산 관리와 서비스 연계를 장점으로 하는 클라우드 플랫폼이 주목을 받으며 클라우드 구현 모델과 데이터 보안 등에 대한 다양한 이슈가 논의되고 있다. 본 논문은 다기관 간 지속 가능한 데이터 유통 플랫폼으로써 하이브리드 클라우드 관련 기술을 리뷰하고, 다기관 데이터 공유 확장성을 고려한 국내 ‧ 외 하이브리드/멀티 클라우드 구현 방법을 소개한다. 또한, 클라우드 시장이 외산 중심으로 확대되고 있는 상황에서 벤더 의존성을 낮추기 위해 국내 통신 인프라 기반의 IaaS 개발 및 외산 SaaS 연계 등 다중 벤더의 클라우드 기술과 연계할 수 있는 멀티 클라우드 적용 방안을 고찰한다.
As artificial intelligence (AI) emerges as core future technology, the amount of AI training data is increasing exponentially, and the importance of a data platform that can manage the collected or processed data safely is also increasing. For this purpose, cloud platforms with the advantage of data distribution management and service linkage are attracting attention, and various issues such as cloud implementation models and data security are being discussed. In this paper, we review hybrid cloud-related technologies as a sustainable data distribution platform for various institutions and introduce domestic and foreign hybrid/multi-cloud implementation strategies considering the scalability of multi-organizational data sharing. In addition, we discuss strategies to implement public cloud platforms with lower vendor dependence in a situation where the cloud market is expanding by foreign products considering multi-cloud application methods that can be linked with the cloud technology of multiple vendors, such as IaaS development based on domestic communication infrastructure with foreign SaaS.
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Information
  • Publisher :The Society of Convergence Knowledge
  • Publisher(Ko) :융복합지식학회
  • Journal Title :The Society of Convergence Knowledge Transactions
  • Journal Title(Ko) :융복합지식학회논문지
  • Volume : 9
  • No :4
  • Pages :33-42