• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.83-90
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• 2022

Traditional Cloud Computing would be unable to safely host IoT data due to its high latency as the number of IoT sensors and physical devices accommodated on the Internet grows by the day. Because of the difficulty of processing all IoT large data on Cloud facilities, there hasn't been enough research done on automating the security of all components in the IoT-Cloud ecosystem that deal with big data and real-time jobs. It's difficult, for example, to build an automatic, secure data transfer from the IoT layer to the cloud layer, which incorporates a large number of scattered devices. Addressing this issue this article presents an intelligent algorithm that deals with enhancing security aspects in IoT cloud ecosystem using butterfly optimization algorithm.

• 반도체디스플레이기술학회지
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• 제21권3호
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• pp.69-73
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• 2022

The application of cloud computing to many industrial domains is rapidly increasing, and domestic and foreign cloud service providers are actively conducting business. In the domestic cloud market, it is necessary to establish an ecosystem with partner operators that work closely with private cloud service providers. In this paper, to create such an environment, we propose a framework that can evaluate the capabilities of partners required for cloud service providers to establish specific business strategies. The framework proposed in this study establishes criteria for evaluating partners' competencies and applies a decision-making model such as fuzzy AHP for evaluation. Eventually this will help not only to expand the domestic cloud market but also to strengthen the competitiveness of domestic cloud partners through the growth of the domestic cloud market.

• 경영정보학연구
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• 제17권1호
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• pp.1-18
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• 2015

최근 많은 IT 기업들이 클라우드 서비스 시장에 진입하면서 출시되는 클라우드 서비스의 숫자가 크게 늘어나고 있다. 이러한 이유로 발생하는 클라우드 서비스 선택의 문제들을 해결하고, 기술적인 역량이 부족한 클라우드 서비스 사용자들의 서비스 초기화와 운용을 돕기 위해서 클라우드 서비스 중개업 회사들이 크게 주목받고 있다. 본 연구에서는 원 클라우드 서비스 제공자들과 클라우드 서비스 중개업 회사들 간의 협업을 대표적인 사례들인 국내의 NCloud24와 미국의 RightScale을 통해 보았다. 두 회사의 비즈니스 모델을 비즈니스 모델 캔버스를 사용하여 분석하였으며, 클라우드 서비스 중개업 회사들의 출현을 IaaS(Infrastructure-as-a-Service) 클라우드 서비스 회사들의 언번들링(Unbundling) 과정으로 해석하였다. 그리고 두 사례간의 차이점을 비교하고, 이를 바탕으로 향후 국내 클라우드 서비스 중개업이 나아가야 할 방향에 대하여 조망하였다.

• 대한인간공학회지
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• 제29권4호
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• pp.553-561
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• 2010

This paper discusses the next direction for user experience design to keep pace with an ongoing IT paradigm shift, particularly focused on UX standardization activity contributing to reinforcement of brand power and customer loyalty. The paper introduces a model that identifies four levels of UX standardization and a key concept called "sustainable UX ecosystem" as its top level. It argues that in the new IT paradigm the fourth level of UX standardization, the sustainable UX ecosystem, is the next direction user experience must head towards.

• 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.

• Asia pacific journal of information systems
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• 제34권1호
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• pp.150-190
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• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

• 한국빅데이터학회지
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• 제2권2호
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• pp.9-16
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• 2017

클라우드 서비스에 기반한 글로벌 플랫폼 솔루션 기업은 인공지능과 빅데이터 서비스를 킬러앱으로 발전시키며 기업의 산업 솔루션을 제공하며 이것은 기업의 비즈니스 밸류 체인에 큰 변화를 가져오게 할 것이다. 제조 생산의 최적화에서 디자인과 마케팅, 유통 등이 중요해 지고 SCM와 고객 데이터가 수평적으로 연결되어 관리가 필요해지면서 기업의 모든 데이터도 하나의 플랫폼을 중심으로 데이터에 기반한 통합을 이루어 기업 의사 결정 모델을 구현하는 방향으로 발전하게 된다. 이러한 변화는 기업의 소셜, 모발 솔루션과 통합되는 디지털 혁신을 리드하고 있다. 또한 기업은 다른 기술 경쟁력을 가진 기업의 기술, 플랫폼 솔루션과 Ecosystem 비즈니스 파트너로 융합하여 새로운 비즈니스 모델을 만들고 산업과 지역의 경계를 넘어 새로운 에코시스템 마켓플레이스를 만들고 있다.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.473-491
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• 2014

There is a growing interest for 'Cloud computing' to cut costs, and help the users focus on their core business instead of being impeded by IT obstacles. As it became IT version 3.0 which represents the era of cloud services and the dominance of a new kind of IT service provider, cloud service providers (CSPs)' role is more critical as a trusted IT advisor to include cloud migration and integration expertise. However, previous literatures related to cloud computing service have mainly analyzed from customers, although it is hard for customers to totally understand the complex and diverse cloud ecosystem. Therefore, it is an urgent task to mitigate the inhibitory factors in providing the cloud services for activating cloud industry. This study, an exploratory research based on interviews, has derived factors of promoting and hindering the activation of cloud computing from the provider's perspective, and has analyzed a sequence of cause and effect for each factor. For this, the casual loop diagram was developed to deduce key issues, and propose an alternative. The results of this study are expected to help activate 'Cloud computing' in Korea by minimizing the potential negative effects of activating 'Cloud computing' industry.

• Journal of Information Technology Applications and Management
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• 제20권4호
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• pp.19-31
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• 2013

There is tremendous increasing demand on spectrum resource which is boosted by spread of cloud computing and M2M telecommunication as well as smart phone and tablet PC. Recently, spectrum sharing technology has drawn attention to the spectrum policy makers as a promising way to overcome limitation of scarce spectrum resource. To succeed in commercialization of spectrum sharing technology, it is necessary to prospect the future business ecosystem of spectrum sharing and develop appropriate policies and laws at the same time along with the advance of spectrum sharing technology. The purpose of this paper is to prospect future spectrum sharing ecosystem and analyze business ecosystem of spectrum sharing with casual loop map. With the causal map and system dynamics method, it is possible to analyze feedback loops which is not limited to linear thinking and build policies which optimize positive dynamics in business ecosystem of spectrum sharing.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.488-491
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• 2014

Based on a complete understanding research in Information and Communication Technologies (ICT), the Intelligent Transport Systems rapidly build up innovative applications to ensure real time attainment as well remote management of driven information, provide a huge range of services and involve many actors in automotive ecosystem. In this paper, we present an intelligent cloud computing for handling data received from traffic sensing technologies. Transportations technologies applied in ITS have played a great role in collecting data from devices deployed in vehicles and highway infrastructures utilizing broadband wireless technologies to the Cloud. In order to facilitate the interested in automotive industry to use data collected and afford services to the car's owner, a scalable acquisition, access to computing resources and offered services are the primary goal of the proposed cloud computing.