• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.245-248
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• 2011

최근 기업들이 SOA, 웹 서비스, 유틸리티 컴퓨팅, 클라우드 컴퓨팅 등과 같은 서비스 지향적인 컴퓨팅 환경에 관심을 가지면서 SLA(Service Level Agreement) 기반의 자동화된 계약관리를 원하고 있다. 일반적으로 SLA는 종이에 자연언어로 표현되어 있어서 SLA 관리나 SLA 기반의 정보처리의 자동화가 제한된다. 이에 본 논문에서는 문서형 SLA를 실행가능한 언어로 표현하는 방법을 제안한다. 그 방법의 핵심은 SLA 문장을 단문, 중문, 또는 복문 형식으로 재구성하고 각 문장을 술어논리로 표현한 뒤, 이를 Prolog 기반 프로그램으로 변환하여 실행가능한 SLA(Active SLA)를 얻는다는 것이다. 이와 함께 ASLA를 활용한 SLA 기반의 계약관리 업무의 자동화에 대한 구체적인 예도 볼 것이다.

• Annual Conference of KIPS
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• 2011.11a
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• pp.279-282
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• 2011

최근 기업들이 SOA, 웹 서비스, 유틸리티 컴퓨팅, 클라우드 컴퓨팅 등과 같은 서비스 지향적인 컴퓨팅 환경에 관심을 가지면서 SLA(Service Level Agreement) 기반의 자동화된 계약관리의 수요가 증가하고 있다. 일반적으로 기업에서는 종이에 자연언어로 표현된 SLA를 사용하고 있다. 이를 SLM(Service Level Management) 시스템에서 이해하고 계약조항을 직접 실행시키는 한 방법으로서 본 논문에서는 ASLA(Active SLA) 도입을 제안하였다. ASLA에서는 계약조항이 내용이 Prolog로 표현 된다.사람이 계약조항을 분석하여 Prolog로 표현할 때는 사람에 따라 변환 결과가 달라질 수 있을 뿐만 아니라 작업시간이 많이 소요된다는 단점이 있다. 본 논문에서는 제한된 자연어로 작성된 SLA를 APE(Attempto Parsing Engine)를 사용하여 ASLA를 얻는 방법을 제안한다. 그 방법의 핵심은 SLA ${\rightarrow}$ [APE Parser] ${\rightarrow}$ DRS(Discource Representation Structure) ${\rightarrow}$[drs2prolog] ${\rightarrow}$ Prolog 프로그램 ${\rightarrow}$ [prolog2xml] ${\rightarrow}$ ASLA로 요약할 수 있다.

• Electronics and Telecommunications Trends
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• v.38 no.4
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• pp.70-80
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• 2023

In recent years, our society has shifted from an information society to an intelligent information society, in which computing has become a key factor in shaping and driving social development. In this new era of digital civilization powered by the Internet of Things, traditional data-based computing is no longer sufficient to meet the growing demand for higher levels of intelligence. Therefore, intelligent computing has emerged, reshaping traditional computing and forming new computing paradigms to promote the digital revolution in the era of the Internet of Things, big data, and artificial intelligence. Intelligent computing has greatly expanded the scope of computing through new computing theories, architectures, methodologies, systems, and applications, and it is expanding into diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human-computer fusion intelligence. This paper introduces the concept and main features of intelligent computing and describes trends in standardization for intelligent computing within the ISO/IEC JTC 1, focusing on the technical trend report on intelligent computing that is currently under development within ISO/ IEC JTC 1/AG 2.

• Annual Conference of KIPS
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• 2022.11a
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• pp.126-128
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• 2022

초고성능컴퓨터를 활용하여 전통적인 병렬처리 기반의 계산과학을 비롯하여 AI, 빅데이터 등의 ICT 기반 연구를 수행할 수 있어야 한다는 수요가 증가하고 있다. 계산과학 연구의 다양성에 맞춰 컴퓨팅 연구환경을 제공하기 위하여 한국과학기술정보연구원(KISTI)에서는 초고성능컴퓨터를 인프라로 활용하는 HPC 클라우드인 KI(KISTI Intelligent) Cloud를 개발하여 서비스하고 있다. 본 논문에서는 KI Cloud의 과금을 위한 기능의 설계 및 구현 현황을 기술하였다. 가상서버(VM) 기반의 서비스와 컨테이너 기반의 서비스의 사용량을 측정하기 위하여 Prometheus로 CPU의 사용량을 수집하여 과금 정책을 적용하고 있는 KI Cloud의 과금 기능에 대해서 살펴보도록 한다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1259-1263
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• 2010

SaaS is an emerging paradigm for software development and deployment, expected to able to reduce cost. SaaS is also considered as a crucial technology for implementation of cutting-edge technology, such as distributed computing, green computing, and cloud computing. SaaS is requested to be configurable software to satisfy various customers, therefore it is very important to consider every configurability requirement during requirement elicitation. Our research suggests a classification technique to secure completeness of configuration requirement.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.1
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• pp.257-267
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• 2017

With the development of IoT (Internet of Things) technology, the application area has been diversified and the number of users using this service also has increased greatly. Real time big data generated by many IoT devices is no longer suitable for processing in a cloud computing environment. To solve this issue, fog computing is suggested which minimizes response time and makes real time processing suitable. However, security requirement for new paradigm called fog computing is not established until now. In this paper, we define models for fog computing, and the security requirements for the defined model.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.77-83
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• 2010

Recently, IT-based environment is changing rapidly as changing in web services platform, evolution of cloud computing environments and expanding the base of a smart market. Accordingly, monitoring development of environment is changing quickly. So a customizable SaaS-based monitoring tool is required to provide monitoring services. It has to support a variety of environmental monitoring and a resource managers with requested information, and by an enhanced monitoring framework in clouding environment of management system. In this paper, the 3D viewer for the management of sensor node management system was designed and built. Through the 3D viewer by enhancing the accessibility and visibility, the sensor network will allow resources to be used efficiently.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.518-535
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• 2010

Cloud Computing is emerged as an effective reuse paradigm, where service providers operate hardware and software and as a service, and service consumers invoke the service through Internet. Software-as-a-Service (SaaS) is a type of cloud services, where the whole software is designed as a service so that several consumers can reuse the SaaS. While tradition software applications are developed for a specific organization, SaaS is developed for multiple users in the various organizations. Hence, reusability is very essential characteristic of SaaS. Reusability is defined as a metric of how effective and efficient software functionalities can be used by various users. Reusability in SaaS is evaluated by considering three sub-characteristics; applicability, adaptability, and scalability. Since such a SaaS has considerable differences and characteristics from traditional software applications, conventional methods including object-oriented modeling, component-based development method, and service-oriented architecture (SOA) service development method would be limited in developing services which can fulfill these three sub-characteristics related to reusability as well as SaaS-intrinsic characteristics. Hence, there is a great demand for effective processes for developing SaaS cloud services. In this paper, we present a practical process for developing SaaS, which focuses on ensuring reusability. And by performing a case study with our proposed SaaS development process, we evaluate applicability of our proposed process and explain how the process is used in a real domain. Then, we compare our proposed process with others for verifying our study. Through the proposed process, cloud services with high quality can be more effectively developed.

• Journal of Digital Convergence
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• v.10 no.1
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• pp.301-307
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• 2012

The development of mobile devices and the spread of wireless network help share and exchange information and resources more easily. The bond them to Cloud Computing technology help pay attention to "Mobile Cloud" service, so there have been being a lot of studies on "Mobile Cloud" service. Especially, the important of 'Personalization Service' which is customized for each user's preference and context has been increasing. In order to provide appropriate personalization services, it enables to recognize user's current state, analyze the user's profile like user's tendency and preference, and draw the service answering the user's request. Most existing frameworks, however, are not very suitable for mobile devices because they were proposed on the web-based. And other context information except location information among user's context information are not much considered. Therefore, this paper proposed the context-aware framework, which provides more suitable services by using user's context and profile.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.45-56
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• 2017

In astronomy, the amount of data generated using wide-field optical telescope has increased exponentially. However, the fixed-size small-scale computing environment and the complexity of data analysis tools, results in difficulties to process the massive observation data collected. To resolve this problem, we propose a cloud-based automation system for the efficient processing of the enormous data gathered. The proposed system consists of a Workflow Execution Manager which manages various workflow templates and controls the execution of workflows instantiated from theses templates, and an Elastic Resource Manager that dynamically adds/deletes computing resources, according to the amount of data analysis requests. To show the effectiveness of our proposed system, we exhaustively explored a board spectrum of experiments, like elastic resources allocation, system load, etc. Finally, we describe the best practice case of DEEP-SOUTH scheduling system as an example application.