• 디지털산업정보학회논문지
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• 제8권3호
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• pp.75-85
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• 2012

In general, cellular network is deployed as distributed network architecture, so network equipment is spread out all over the coverage area. This case causes high cost. Recently, centralized network architecture has been deployable at cellular network since base station was able to be virtualized due to advance in computing power. The centralized network architecture in cellular network adjusts its cell radius dynamically and minimizes power consumption of the network. This paper introduces a new centralized deployment way of cellular network using SDR and cloud computing technology. Then, advantage and feasibility of the new network will be reviewed by implementing this novel network.

• 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.

• 한국BIM학회 논문집
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• 제4권2호
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• pp.17-24
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• 2014

Recently, there have been various attempts for the adoption and spread of Building Information Modeling (BIM) in the construction industry. However, the spread of BIM has been less satisfied than expected, because of the insufficient, expensive hardware and software for the authoring, analysis and so forth. As a solution to resolve the obstacles, the applications of cloud computing technology to BIM have been introduced. Due to the vendor-dependent functions and lack of verification on the work process, the spread of cloud-based BIM has been limited in Korea. Therefore, this study proposes the functions of cloud computing services which can support BIM-based design processes through the review of practitioners, questionnaire survey and analysis of design process.

• Journal of Information Processing Systems
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• 제15권6호
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• pp.1259-1264
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• 2019

Nowadays, cloud computing and big data analytics are at the center of many industries' concerns to take advantage of the potential benefits of building future smart cities. The integration of cloud computing and big data analytics is the main reason for massive adoption in many organizations, avoiding the potential complexities of on-premise big data systems. With these two technologies, the manufacturing industry, healthcare system, education, academe, etc. are developing rapidly, and they will offer various benefits to expand their domains. In this issue, we present a summary of 18 high-quality accepted articles following a rigorous review process in the field of cloud computing and big data analytics.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.366-369
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• 2014

최근 클라우드 컴퓨팅 서비스는 IT업계의 핵심기술로 전망되고 있다. 클라우드 서비스 산업의 시장규모는 매년 18.9%의 성장률을 보이며 2013년 1,330억 달러의 규모를 형성하였고, 2015년에는 1,768억 달러 규모를 형성할 것으로 전망되고 있다. 클라우드 컴퓨팅 서비스 산업의 성장은 많은 기업들에게 비용 절감과 업무의 효율성을 제공하고 있으나, 그에 따른 위험성 역시 높아지고 있다. 클라우드 서비스 특징상 데이터에 대한 통제성을 잃게 되고, 많은 데이터가 한 곳에 몰리는 현상은 장애가 발생하면 모든 기기의 데이터가 일제히 삭제되는 되는 문제점이 있다. 이에 본 논문에서는, 클라우드 컴퓨팅 서비스의 안전한 데이터 저장과 문제 발생에 따른 신속한 복구가 가능하도록 클라우드 서비스 데이터 전용의 가용영역에 대해서 연구하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권8호
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• pp.3516-3541
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• 2018

Task scheduling is one of the most challenging aspects of cloud computing nowadays, and it plays an important role in improving overall performance in, and services from, the cloud, such as response time, cost, makespan, and throughput. A recent cloud task-scheduling algorithm based on the symbiotic organisms search (SOS) algorithm not only has fewer specific parameters, but also incurs time complexity. SOS is a newly developed metaheuristic optimization technique for solving numerical optimization problems. In this paper, the basic SOS algorithm is reduced, and chaotic local search (CLS) is integrated into the reduced SOS to improve the convergence rate. Simulated annealing (SA) is also added to help the SOS algorithm avoid being trapped in a local minimum. The performance of the proposed SA-CLS-SOS algorithm is evaluated by extensive simulation using the Matlab framework, and is compared with SOS, SA-SOS, and CLS-SOS algorithms. Simulation results show that the improved hybrid SOS performs better than SOS, SA-SOS, and CLS-SOS in terms of convergence speed and makespan.

• 디지털융복합연구
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• 제18권12호
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• pp.105-115
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• 2020

본 연구는 클라우드 컴퓨팅 서비스의 혁신저항에 영향을 주는 요인을 알아보고, 국내 클라우드 컴퓨팅 서비스 사용을 높이기 위한 정책적 대안을 제시하는데 목적이 있다. 이를 위해 정부지원을 받아 클라우드 컴퓨팅 서비스를 도입한 중소기업 178개사를 설문조사하였다. 그 결과, 테크노스트레스, CEO 정보화 리더십과 조직구조 집권성은 혁신저항에 유의미한 영향을 미쳤다. 따라서 향후에는 첫째, 테크노스트레스를 줄일 수 있는 방향으로 이용자 중심의 클라우드 컴퓨팅 서비스 제공이 필요하다. 둘째, 중소기업별 조직특성에 대한 보다 심도 있는 이해를 통한 클라우드 컴퓨팅 서비스의 적용이 필요하다. 셋째, 보안인증 고도화 및 보상제도가 필요하다. 클라우드 컴퓨팅 서비스 이용을 촉진하기 위해서는 이용자가 안전하게 이용할 수 있는 환경이 우선적으로 마련되어야 할 것이다.

• 디지털산업정보학회논문지
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• 제12권1호
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• pp.81-87
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• 2016

Cloud computing technologies are utilized and merged in various domains. Cloud computing technology-based personal cloud service technologies provide mobility and free access by using user centered storages and smart devices such like smart phones and table PCs. Therefore, we should overcome limits on the storage by solving the capacity problems of devices to provide security services in the personal cloud environments It can be addressable to provide the convenience of various security technologies. However, there are some security threats inherited from existing cloud environments and the possibilities of information leakage when devices are lost or stolen. Therefore, we designed a framework for providing secure cloud services by adding objects, such as user authorization, access tokens, set permissions by key generation, and key management assignments, for user management in personal cloud environments. We analyzed the stability of the proposed framework in terms of irreverent use and abuse, access to insiders, and data loss or leakage. And we evaluated the proposed framework in terms of the security with access control requirements in personal cloud environments.

• 반도체디스플레이기술학회지
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• 제21권2호
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• pp.133-137
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• 2022

In the smart industry where data plays an important role, cloud computing is being used in a complex and advanced way as a convergence technology because it has and fits well with its strengths. Accordingly, in order to utilize artificial intelligence rather than human beings for quality management of cloud computing services, a consistent standardization method of data collected from various nodes in various areas is required. Therefore, this study analyzed technologies and cases for incorporating artificial intelligence into specific services through previous studies, suggested a plan to use artificial intelligence to comprehensively standardize data in quality management of cloud computing services, and then verified it through case studies. It can also be applied to the artificial intelligence learning model that analyzes the risks arising from the data formalization method presented in this study and predicts the quality risks that are likely to occur. However, there is also a limitation that separate policy development for service quality management needs to be supplemented.

• 인터넷정보학회논문지
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• 제15권1호
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• pp.113-123
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• 2014

세계적인 경기불황의 여파로 수많은 기업들은 IT 인프라에 대한 초기 구축비용 및 유지보수비용 부담을 상당부분 경감시킴으로써 비용을 절감하기 위해 클라우드 컴퓨팅 도입을 서두르고 있다. 비교적 보수적인 준정부기관의 경우도 지난 수년간의 선진화 사업으로 인해 유연해진 조직 및 경영구조로 전화하고 있고, 지방이전에 따른 스마트 워크의 필요성으로 인해 클라우드 기반의 스마트워크 서비스에 대한 논의 및 준비가 한창이다. 본 연구는 준 정부 기관에서 조직원들의 클라우드 기반 스마트워크에 대한 선호도, 특징, 성향, 중점사항 등을 조사하여 이를 유형화하여 향후 준 정부 기관의 클라우드 스마트워크 서비스 발전방안을 제시하였다. 준정부기관의 클라우드 기반 스마트워크 서비스는 편리 추구형, 집중력 추구형, 협업 추구형 등 세 가지로 유형화 되었다.