• 정보보호학회논문지
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• 제25권6호
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• pp.1377-1383
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• 2015

클라우드 서비스 이용자의 증가로 클라우드 스토리지상에 개인이 생성한 중요한 파일이 다수 존재한다. 즉, 클라우드 사용 흔적은 주요 증거가 될 수 있기에 조사할 필요성이 있다. 클라우드 서비스를 조사하는 방법에는 스토리지 서버 공급자(CSP:Cloud Service Provider)를 이용하여 조사하는 방법과 클라이언트를 조사하는 방법이 있다. 이 중 본 논문에서는 클라이언트 컴퓨터를 조사할 수 있는 도구(Cloud Artifact)를 개발하였다. Cloud Artifact는 Google Drive, Dropbox, Evernote, N드라이브, Daum 클라우드, Ucloud, LG Cloud, T 클라우드, iCloud 9가지 클라우드 서비스 아티팩트를 수집 및 분석한다.

• Journal of Information Processing Systems
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• 제17권2호
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• pp.284-296
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• 2021

The cloud has already become the core infrastructure of information systems, and government institutions are rapidly migrating information systems to the cloud. Government institutions in several countries use private clouds in their closed networks. However, because of the advantages of public clouds over private clouds, the demand for public clouds is increasing, and government institutions are expected to gradually switch to public clouds. When all data from government institutions are managed in the public cloud, the biggest concern for government institutions is the leakage of confidential data. The public-private-partnership (PPP) cloud provides a solution to this problem. PPP cloud is a form participation in a public cloud infrastructure and the building of a closed network data center. The PPP cloud prevents confidential data leakage and leverages the benefits of the public cloud to build a cloud quickly and easily maintain the cloud. In this paper, based on the case of the PPP cloud applied to the Korean government, the concept, architecture, operation model, and contract method of the PPP cloud are presented.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.1-8
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• 2021

Cloud computing has proven its efficiency, especially after the increasing number of cloud services offered by a wide range of cloud providers, from different domains. Despite, these cloud services are mostly heterogeneous. Consequently, and due to the rising interest of cloud consumers to adhere to a multi-cloud environment instead of being locked-in to one cloud provider, the need for semantically interconnecting different cloud services from different cloud providers is a crucial and important task to ensure. In addition, considerable research efforts proposed interoperability solutions leading to different representation models of cloud services. In this work, we present our solution to overcome this limitation, precisely in the IAAS service model. This solution is a framework permitting the semantic interoperability of different IAAS resources in a multi-cloud environment, in order to assist cloud consumers to retrieve the cloud resource that meets specific requirements.

• 대기
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• 제17권2호
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• pp.125-133
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• 2007

Cloud amount calculation algorithm was developed using MTSAT-1R satellite data. The cloud amount is retrieved at 5 km ${\times}$ 5 km over the Korean Peninsula and adjacent sea area. The algorithm consists of three steps that are cloud detection, cloud type classification, and cloud amount calculation. At the first step, dynamic thresholds method was applied for detecting cloud pixels. For using objective thresholds in the algorithm, sensitivity test was performed for TBB and Albedo variation with temporal and spatial change. Detected cloud cover was classified into 3 cloud types (low-level cloud, cirrus or uncertain cloud, and cumulonimbus type high-level cloud) in second step. Finally, cloud amount was calculated by the integration method of the steradian angle of each cloud pixel over $3^{\circ}$ elevation. Calculated cloud amount was compared with measured cloud amount with eye at surface observatory for the validation. Bias, RMSE, and correlation coefficient were 0.4, 1.8, and 0.8, respectively. Validation results indicated that calculated cloud amount was a little higher than measured cloud amount but correlation was considerably high. Since calculated cloud amount has 5km ${\times}$ 5km resolution over Korean Peninsula and adjacent sea area, the satellite-driven cloud amount could show the possibility which overcomes the temporal and spatial limitation of measured cloud amount with eye at surface observatory.

• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.315-320
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• 2021

Currently, cloud computing is being used as a technology that greatly changes the IT field. For many businesses, many cloud services are available in the form of custom, reliable, and cost-effective web applications. Most cloud service providers provide functions such as IoT, machine learning, AI services, blockchain, AR & VR, mobile services, and containers in addition to basic cloud services that support the scalability of processors, memory, and storage. In this paper, we will look at the most used cloud service providers and compare the services provided by the cloud service providers.

• 정보과학회 논문지
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• 제42권9호
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• pp.1090-1099
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• 2015

클라우드 컴퓨팅 패러다임의 등장에 따라 다수의 클라우드 서비스와 클라우드 사용자를 연계해 주는 CSB(Cloud Service Brokerage) 라는 개념이 제시되었다. CSB 에 등록되어 비슷한 기능을 제공하는 클라우드 서비스들은 제공자마다 성능, 가격 등에 차이가 있으므로, 클라우드 사용자가 클라우드 서비스를 사용하기 위해 적합한 서비스를 찾기 어렵다. 따라서 다수의 클라우드 서비스 중에서 클라우드 사용자의 요구사항에 가장 적합한 클라우드 서비스를 찾아주는 방법을 CSB 에서 핵심적으로 고려해야 한다. 본 논문은 클라우드 사용자의 요구사항을 수집하고 분석하는 방법과 다양한 클라우드 서비스를 명세하는 SAM을 포함하는 CSB 로써 가상 클라우드 뱅크 아키텍처를 제시한다. 본 논문에서 제시한 가상 클라우드 뱅크 아키텍처는 클라우드 사용자의 요구사항에 적합한 클라우드 서비스 제공을 위한 CSB의 참조아키텍처로 활용할 수 있다.

• 한국항공운항학회지
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• 제15권3호
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• pp.57-62
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• 2007

In this paper, we attempted to produce the cloud forecast that use the numerical weather prediction(NWP) MM5 for objective cloud forecast. We presented two methods for cloud forecast. One of them used total cloud mixing ratio registered to sum(synthesis) of cloud-water and cloud-ice grain mixing ratio those are variables related to cloud among NWP result data and the other method that used relative humidity. An experiment was carried out period from 23th to 24th July 2004. According to the sequence of comparing the derived cloud forecast data with the observed value, it was indicated that both of those have a practical use possibility as cloud forecast method. Specially in this Case study, cloud forecast method that use total cloud mixing ratio indicated good forecast availability to forecast of the low level clouds as well as middle and high level clouds.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.1014-1025
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• 2020

Cloud computing services changed the way the data are managed across the healthcare system that can improve patient care. Currently, most healthcare organizations are using cloud-based applications and related services to deliver better healthcare facilities. But architecting a cloud-based healthcare system needs deep knowledge about the working nature of these services and the requirements of the healthcare environment. The success is based on the usage of appropriate cloud services in the architecture to manage the data flow across the healthcare system.Cloud service providers offer a wide variety of services to ingest, store and process healthcare data securely. The top three public cloud providers- Amazon, Google, and Microsoft offers advanced cloud services for the solution that the healthcare industry is looking for. This article proposes a framework that can effectively utilize cloud services to handle the data flow among the various stages of the healthcare infrastructure. The useful cloud services for ingesting, storing and analyzing the healthcare data for the proposed framework, from the top three cloud providers are listed in this work. Finally, a cloud-based healthcare architecture using Amazon Cloud Services is constructed for reference.

• Journal of Information Technology Applications and Management
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• 제27권6호
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• pp.89-99
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• 2020

Cloud computing is rapidly increasing for achieving comfortable computing. Cloud computing has essentially security vulnerability of software and hardware. For achieving secure cloud computing, the vulnerabilities of cloud computing could be analyzed in a various and systematic approach from perspective of the service designer, service operator, the designer of cloud security and certifiers of cloud systems. The paper investigates the vulnerabilities and security controls from the perspective of administration, and systems. For achieving the secure operation of cloud computing, this paper analyzes technological security vulnerability, operational weakness and the security issues in an enterprise. Based on analysis, the paper suggests secure establishments for cloud computing.

• 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.