• Electronics and Telecommunications Trends
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• v.24 no.4
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• pp.55-68
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• 2009

최근 클라우드 컴퓨팅 시장에 진출했거나 진출을 선언한 글로벌 IT 기업들을 살펴보면 이미 보유하고 있는 기반 기술들을 활용하거나 상호 협력을 통해 다양한 클라우드 서비스들을 제공함으로써 급격하게 성장하고 있는 클라우드 컴퓨팅 시장에서 자신들의 영역을 지속적으로 확장해 나가고 있다. 분산 파일 시스템은 데이터의 저장과 관리뿐만 아니라 상위 계층 서비스가 요구하는 충분한 성능과 안정성을 보장해주기 위한 클라우드 컴퓨팅의 핵심 기술 중의 하나이다. 본 고에서는 클라우드 컴퓨팅을 위해 분산 파일 시스템이 갖추어야 할 사항들과 클라우드 컴퓨팅에서 활용 가능한 분산 파일 시스템들을 소개하고 현재 클라우드 컴퓨팅 시장에서 활용되고 있는 분산 파일 시스템의 동향을 살펴보고자 한다.

• Journal of Industrial Convergence
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• v.20 no.7
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• pp.21-30
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• 2022

In this study, This study focuses on exploring the major factors influencing the successful introduction of the cloud-based accounting information system, which is the top priority in the field of corporate digital transformation. Therefore, theories were summarized based on the company's cloud environment and related prior research, and the major performance factors of the company were analyzed by dividing them into organizational factors, business operation factors, and technical system factors. Considering that the cloud-based accounting information system is in the early stages of its introduction, the research analysis method ranks major success factors according to their importance using the Delphi targeting the expert panel, through the AHP method, the major performance variables were finally explored through the mutual importance analysis of each major factor. As a result of the analysis, organizational factors were analyzed as corporate sustainability, business operational factors were the business solutions, and system scalability factors were analyzed. This study will be able to provide additional useful information on the initial introduction strategy and operation for the introduction and operation of the cloud-based accounting information system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.595-596
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• 2023

본 논문에서는 컨테이너 오케스트레이션 플랫폼에 대하여 분석하고자 한다. 공공 클라우드 전환 로드맵 검토에 따라 클라우드 네이티브 전환을 위한 기술로 컨테이너, 마이크로서비스, 컨테이너 오케스트레이션의 중요성이 강조되고 있다. 대표적인 컨테이너 오케스트레이션 도구인 Kubernetes, Docker Swarm, Mesos를 비교하며, 이들의 초기 설치 용이성, 볼륨 관리, 애플리케이션 배포, 장애 관리 등에 대해 분석하고, 이를 통해 각 도구의 장단점과 적용 상황에 따른 고려사항을 파악함으로써, 클라우드 네이티브 전환 로드맵 수립에 도움을 제공하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.382-384
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• 2012

클라우드 컴퓨팅 기술의 발전과 함께 많은 기업들이 관련 기술 연구를 통해 여러 플랫폼들을 제안하고 있다. 이러한 상황은 클라우드 컴퓨팅 플랫폼 발전에 도움이 되지만, 통합되지 않은 다수의 플랫폼으로 인한 문제점도 존재한다. 왜냐하면 클라우드 컴퓨팅 환경에 대해 처음 접하는 사용자의 경우, 플랫폼 선택시 합리적인 선택을 하기 어렵기 때문이다. 따라서 본 논문에서는 가장 많은 업체들이 제공하고 있는 오픈소스 기반의 플랫폼인 OpenStack, Eucalyptus, CloudStack, OpenNebula를 비교 및 분석한다. 분석 결과에서 알 수 있듯이, 각 플랫폼은 지원 가상화 기술, 스케줄링 기법, 배치 기법, 호환성 등 여러 가지 특성들 차이로 인한 장단점이 존재한다. 분석 결과를 바탕으로, 사용자들은 플랫폼들의 특성을 파악해 상황에 맞는 플랫폼을 합리적으로 선택할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.144-147
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• 2013

클라우드 컴퓨팅은 낭비되는 컴퓨팅 자원들을 클라우드 서버를 통해 처리 가능한 고사양의 컴퓨팅 환경을 제공한다. 클라우드 컴퓨팅은 노드에 가상머신을 할당하여 사용자의 요구를 처리하는데, 노드의 공정한 사용과 사용자 요구사항 충족을 위해 FCFS, 라운드 로빈 등의 가상머신 할당 기법을 사용한다. 본 논문에서는 노드의 효율적인 사용을 위해 클라우드 서버에서 관리 중인 노드들의 성능을 미리 분석하고 가상머신을 할당 혹은 재할당시 분석된 결과를 바탕으로 할당할 노드를 선택하고 관리하는 시스템을 제안한다. 노드의 성능을 미리 분석함으로서 할당을 위한 가상머신 선택을 위한 연산을 줄여 신속하고 효율적인 가상머신 할당이 가능하다.

• Information Systems Review
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• v.17 no.1
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• pp.117-140
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• 2015

Cloud Computing has drawn attention as one of 10 IT strategic technology trends and has various advantages such as cost reduction and enhancing business flexibility. However, corporations hesitate to adopt the service because of unexpected risks. Especially compared to large firm, medium and small ones use public cloud that security risk is high. Meanwhile, real option strategy has drawn attention as the method to hedge uncertainty in IT projects. Therefore, in this study causal relationships among technical, security, relational, and economic risks of cloud service will be investigated. Eventually, this study investigates how those risks influence the intention to choose the real option about the cloud service. For this study, five hypotheses is drawn, and a survey is conducted about the medium and small firms which are currently using cloud service to examine hypotheses. Since the study is at organizational level, 287 questionnaire replies are recalculated to 120 firms. For statistical analysis, Smart PLS and SPSS Statistics18 are used. As a result, technical risk of cloud service has significantly positive influence on security risk. Second, security risk and relational risk of cloud service has significantly positive influence on economic risk. Third, economic risk of cloud service has significantly positive influence on the intention to purchase the delay option or abandon option. Based on this result, this research discussed practical and academic implications and the limitations.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.159-167
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• 2020

The Korean government has pursued various policies to revitalize the cloud industry since 2009. In particular, the government enacted the 'Cloud Computing and Privacy Security Act' for the first time in the world in 2015, creating institutions and support programs to boost the cloud industry. As a result, the volume of the cloud industry has increased significantly, and the number of companies and professionals have increased. In this paper, the researches analyzed the situation of Korean cloud market, usage of cloud computing in enterprises, effects and problems of cloud-enabled companies based on the industrial survey conducted from 2016 to 2019, In this study, the results showed concerns of security, uncertainty about cost savings, and IT capabilities of enterprises as problems in revitalizing the cloud industry. The researches also propose strategies, perception changes, and development processes for companies to resolve the problems.

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.4
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• pp.347-357
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• 2019

The usefulness of processing and analysis systems of GIS-based agricultural climate data is affected by the reliability and availability of computing infrastructures such as cloud, on-premises, and hybrid. Cloud technology has grown in popularity. However, various reference cases accumulated over the years of operational experiences point out important features that make on-premises technology compatible with cloud technology. Both cloud and on-premises technologies have their advantages and disadvantages in terms of operational time and cost, reliability, and security depending on cases of applications. In this study, we have described characteristics of four general computing platforms including cloud, on-premises with hardware-level virtualization, on-premises with operating system-level virtualization and hybrid environments, and compared them in terms of advantages and disadvantages when a huge amount of GIS-based agricultural climate data were stored and processed to provide public services of agro-meteorological and climate information at high spatial and temporal resolutions. It was found that migrating high-resolution agricultural climate data to public cloud would not be reasonable due to high cost for storing a large amount data that may be of no use in the future. Therefore, we recommended hybrid systems that the on-premises and the cloud environments are combined for data storage and backup systems that incur a major cost, and data analysis, processing and presentation that need operational flexibility, respectively.

• Journal of Software Engineering Society
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• v.27 no.1
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• pp.8-14
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• 2018

As cloud computing has emerged as a hot trend in the IT industry, various types of cloud services have emerged. In addition, cloud service broker (CSB) technology has emerged to alleviate the complexity of the process of selecting the desired service that user wants among the various cloud services. One of the key features of the CSB is to recommend the best cloud services to users. In general, CSB can use a method to evaluate a service by receiving feedback about a service from users in order to recommend a cloud service. However, since each user has different criteria for giving a rating, there is a problem that reliability of service evaluation can be low when the rating is only used. In this paper, a method is proposed to supplement evaluation of rating based service by applying machine learning based sentiment analysis to cloud service user's review. In addition, the CSB prototype is implemented based on proposed method. Further, the results of comparing the performance of various learning algorithms is proposed that can be used for sentiment analysis through experiments using actual cloud service review as learning data. The proposed service evaluation method complements the disadvantages of the existing rating-based service evaluation and can reflect the service quality in terms of user experience.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.29-32
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• 2011

클라우드 컴퓨팅은 사용자가 요구하는 컴퓨팅 자원을 유연하고 확장성 있게 지원할 수 있는 분산컴퓨팅 환경의 새로운 패러다임이다. 특히 사이언스 클라우드는 특정 목적으로 과학 연구를 지원하기 위한 클라우드 컴퓨팅 기반 자원 제공 서비스로 정의된다. 본 문서는 천문우주분야의 응용인 밝은 변광 검출 분석 (Variability Analysis of Bright:VAB)을 위해 사용자 요구사항을 분석하고, 이를 토대로 클라우드 기반의 시스템을 설계하였다. 설계된 시스템은 천문학 분야 거대 자료를 이용하기 위해 독립된 계산 자원을 활용하기 보다는, 이미 존재하는 자원들을 연구 상황과 목적에 맞게 최적화여 이용할 수 있는 환경 구축이 가능하며 또한 일시적으로 특정 목적어에 최적화된 계산 자원을 유연하게 설계하여 제공할 수 있다.