• 정보화정책
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• 제26권3호
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• pp.90-106
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• 2019

클라우드 서비스 시장은 온프레미스 환경에서 클라우드 컴퓨팅 환경으로의 전환에 힘입어 급속도로 성장하고 있고, 국내 클라우드 소프트웨어 시장 또한 전 세계적인 흐름에 따라 2022년까지 연평균 약 15%로 성장할 것으로 예상한다. 국내에서는 정부 주도하에 오픈소스 소프트웨어를 활용한 개방형 클라우드 플랫폼을 제공하고 있으며, 2019년까지 개방형 클라우드 플랫폼의 안정성 및 기능을 강화하고, 이종 클라우드 인프라 기반으로 운영되고 응용 소프트웨어의 전체 라이프사이클 관리 기능을 제공하는 세계적 수준의 개방형 클라우드 플랫폼 기반 및 개발자 지원환경을 제공하고자 한다. 이에 따라 본 연구에서는 개방형 클라우드 플랫폼 생태계를 활성화하기 위해 컨테이너 자동편성 플랫폼의 접목을 제시하고, 이를 통해 개방형 클라우드 플랫폼에서의 CaaS 활용 방안을 제시한다. 최종적으로 사용자에게 Application Runtime 및 Container Runtime을 제공함으로써 두 개의 플랫폼이 서로 상생할 수 있는 생태계의 방향성을 제시한다는 점에서 의의가 있다.

• 한국통신학회논문지
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• 제42권3호
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• pp.623-638
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• 2017

클라우드(Cloud) 기술이 적용되는 영역은 기술의 발전과 서비스의 다양화로 점차 확대되고 있다. 방송 플랫폼에도 투자 효율화, 운영 효율화, 서비스 경쟁력 확보 등의 측면에서 클라우드 기술이 도입되고 있다. 최근 국내에서는 클라우드 방송 플랫폼이 UI와 서비스에 도입되면서 서비스 경쟁이 가속화 되고 있다. 클라우드 방송 기술은 단말기의 자원과 소프트웨어 구조에 종속성 없이 서비스를 제공하고, 단말기 별로 분리되어 관리되고 있던 UI와 서비스를 서버기반으로 통합하여 운영될 수 있도록 한다. 논문에서는 클라우드 방송 플랫폼에 대해서 설명하고 적용 효과에 대해서 설명한다.

• 디지털산업정보학회논문지
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• 제10권4호
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• pp.181-195
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• 2014

The game Industry has been a major leader in business world with its size and volume in terms of profit and culture contents, and ever increasing at the moment. Cloud Game has appeared as a new, combined game format, playable on smart TV and smart phone with its upgraded storage size and fast spreading N-screen. This research studies the present reality of the cloud industry by focusing on three categories which are device type, Platform, and game contents consequently in order to determine the future prospect of cloud games. First, the cloud game business will thrive as devices such as smart TV and smart phone are used widely. Second, the cloud game industry will have a new era when OS systems of Platform are united effectively. Third, the previous platform holders will have to face new challenges brought up by cloud games' service providers. Forth, the gamer, developer, and service provider need each other in order to widen the spectrum of business in cloud game industry.

• 한국BIM학회 논문집
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• 제9권4호
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• pp.62-74
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• 2019

Because the existing BIM platform is based on user services, the focus is on the development of SaaS (Software as a Service), which provides business services online. However, since a harbor is a security facility, the harbor BIM platform is preferably provided in a private form, rather than relying on the infrastructure environment provided by external cloud providers. Therefore, this study analyzes and reviews the main functions to be provided as SaaS services of the harbor BIM platform. The goal is to build a cloud-based harbor BIM platform that can provide this service to users. To this end, we built IaaS (Infrastructure as a Service) environment of the harbor BIM platform based on the open source Open Stack and integrate and develop PaaS environment with Open Shift applied with IaaS. We applied the GPU to the harbor BIM platform to verify the performance of the harbor BIM platform, and found that the rendering and loading times are improved. In particular, it is expected to reduce the cost of introduction and provide it as the basic cloud environment of similar BIM platform for infrastructure facilities.

• 한국컴퓨터정보학회논문지
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• 제24권5호
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• pp.49-58
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• 2019

In this paper, we propose an edge cloud platform architecture for implementing smart factory. The edge cloud platform is one of edge computing architecture which is mainly focusing on the efficient computing between IoT devices and central cloud. So far, edge computing has put emphasis on reducing latency, bandwidth and computing cost in areas like smart homes and self-driving cars. On the other hand, in this paper, we suggest not only common functional architecture of edge system but also light weight cloud based architecture to apply to the specialized requirements of smart factory. Cloud based edge architecture has many advantages in terms of scalability and reliability of resources and operation of various independent edge functions compare to typical edge system architecture. To make sure the availability of edge cloud platform in smart factory, we also analyze requirements of smart factory edge. We redefine requirements from a 4M1E(man, machine, material, method, element) perspective which are essentially needed to be digitalized and intelligent for physical operation of smart factory. Based on these requirements, we suggest layered(IoT Gateway, Edge Cloud, Central Cloud) application and data architecture. we also propose edge cloud platform architecture using lightweight container virtualization technology. Finally, we validate its implementation effects with case study. we apply proposed edge cloud architecture to the real manufacturing process and compare to existing equipment engineering system. As a result, we prove that the response performance of the proposed approach was improved by 84 to 92% better than existing method.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제10권12호
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• pp.595-602
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• 2021

로봇은 주변 상황을 인지하고 Task를 부여받는 software oriented 형상으로 발전하고 있다. Cloud Robotics Platform은 로봇에 Service Oriented Architecture 형상을 지원하기 위한 방법으로, 상황에 따라 필요한 Task와 Motion Controller를 클라우드 기반으로 제공할 수 있는 방안이다. 휴머노이드 로봇으로 진화할수록 로봇은 로봇 3대 원칙에 따라 보편화된 일상생활 속에서 인간에게 도움을 주기 위해 사용될 것이다. 따라서 특정 개인만을 위한 로봇 이외에도, 상황에 따라 모든 인간에게 도움을 줄 수 있는 공공재로써의 로봇이 보편화될 것이다. 따라서, 생성하는 정보는 사람, 로봇, 로봇에 지능을 부여하는 클라우드 상의 서비스 애플리케이션, 로봇과 클라우드를 이어주는 클라우드 브릿지로 구성될 것으로 분석되는 Cloud Robotics Computing 환경에서 정보보안의 중요성은 인간의 생명 및 안전을 위해 필수불가결한 요소로 자리잡게 될 것이다. 본 논문에서는 지능화된 로봇을 위한 Cloud Robotics Computing 환경에서 사람, 로봇, 클라우드 브릿지, 클라우드 시스템간 통신 시 보안을 제공하여 해킹으로부터 안전하고 개인의 정보가 보호되는 로봇 서비스가 가능할 수 있는 Security Scheme을 제안한다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.201-209
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• 2021

The term, eGovernmen or e-Government, uses technology communications devices such as computers and the Internet to provide public services to citizens and others. The eGovernment or e-government provides citizens with new opportunities to access the government directly and conveniently, while the government provides citizens with directservices. Also, in these days, cloud computing is a feature that enables users to use computer system resources, especially data storage (cloud storage) and on-demand computing power, without having to manage themselves. The term is commonly used to describe data centers that are available to many users over the Internet. Today, the dominant Big Cloud is distributed across multiple central servers. You can designate it as an Edge server if it is relatively close to the user. However, despite the prevalence of e-government and cloud computing, each of these concepts has evolved. Research attempts to combine these two concepts were not being made properly. For this reason, in this work, we aim to produce independent and objective analysis results by separating progress steps for the analysis of e-government cloud service platforms. This work will be done through an analysis of the development process and architectural composition of the e-government development standard framework and the cloud platform PaaS-TA. In addition, this study is expected to derive implications from an analysis perspective on the direction and service composition of the e-government cloud service platform currently being pursued.

• 한국멀티미디어학회논문지
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• 제24권1호
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• pp.75-94
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• 2021

The 4th industrial revolution needs a fusion of artificial intelligence, robotics, the Internet of Things (IoT), edge computing, and other technologies. For the fusion of technologies, cloud computing technology can provide flexible and high-performance computing resources so that cloud computing can be the foundation technology of new emerging services. The emerging services become a global-scale, and require much higher performance, availability, and reliability. Public cloud providers already provide global-scale services. However, their services, costs, performance, and policies are different. Enterprises/ developers to come out with a new inter-operable service are experiencing vendor lock-in problems. Therefore, multi-cloud technology that federatively resolves the limitations of single cloud providers is required. We propose a software platform, denoted as Cloud-Barista. Cloud-Barista is a multi-cloud service common platform for federating multiple clouds. It makes multiple cloud services as a single service. We explain the functional architecture of the proposed platform that consists of several frameworks, and then discuss the main design and implementation issues of each framework. To verify the feasibility of our proposal, we show a demonstration which is to create 18 virtual machines on several cloud providers, combine them as a single resource, and manage it.

• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.321-326
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• 2021

In a multi-cloud environment, it is necessary to minimize physical movement for efficient interoperability of distributed source data without building a data warehouse or data lake. And there is a need for a data platform that can easily access data anywhere in a multi-cloud environment. In this paper, we propose a new platform based on data fabric centered on a distributed platform suitable for cloud environments that overcomes the limitations of legacy systems. This platform applies the knowledge graph database technique to the physical linkage of source data for interoperability of distributed data. And by integrating all data into one scalable platform in a multi-cloud environment, it uses the holochain technique so that companies can easily access and move data with security and authority guaranteed regardless of where the data is stored. The knowledge graph database mitigates the problem of heterogeneous conflicts of data interoperability in a decentralized environment, and Holochain accelerates the memory and security processing process on traditional blockchains. In this way, data access and sharing of more distributed data interoperability becomes flexible, and metadata matching flexibility is effectively handled.

• ETRI Journal
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• 제32권4호
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• pp.634-637
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• 2010

This letter presents a model for a dynamic collaboration (DC) platform among cloud providers (CPs) that prevents adverse business impacts, cloud vendor lock-in and violation of service level agreements with consumers, and also offers collaborative cloud services to consumers. We consider two major challenges. The first challenge is to find an appropriate market model in order to enable the DC platform. The second is to select suitable collaborative partners to provide services. We propose a novel combinatorial auction-based cloud market model that enables a DC platform among CPs. We also propose a new promising multi-objective optimization model to quantitatively evaluate the partners. Simulation experiments were conducted to verify both of the proposed models.