• Journal of Digital Convergence
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• v.12 no.6
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• pp.341-347
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• 2014

Among methods of the big data process, big data process under the cloud environment is becoming a main topic. As part of solving faced problem and strengthening industrial competitiveness in the medical and health industry, discussion on ways to activate big data is actively being conducted. Because the reason is a paradigm shift, saving pressure for increasing health care costs, and increased consumer interest for the level of service. In this paper, we find out the relationship between the cloud and big data. And we are to research and analysis a cloud-based big data case in the medical field. Finally we propose the efficient utilization and future outlook. For the smooth functioning of cloud-based medical big data, we have to solve the problems like infrastructure extension, analysis/application software development, and professional manpower training. In addition, we have to correct insufficient laws maintenance to the Cloud utilization, and improve the security and the recognition to personal information, and solve authority for data centralization.

• Journal of Digital Contents Society
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• v.15 no.3
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• pp.413-423
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• 2014

Recently, cloud computing has been affecting academic information system buildup. When university academic affairs information system is designed with cloud computing, it is very important to estimate the adequate processing capacity for the cloud computer taking into account a waste of resources and the quality of service. Cloud computer's processing capacity to meet the quality of service expected by users should be predicted based on users' transaction patterns and resource requirements characteristics. In this paper, we analyze actual traffic patterns occurring in university academic affairs business and propose a method to calculate the optimal processing capacity for cloud computer to satisfy the given average response time. To justify our research, we apply the research results to a real university academic affairs business case and obtain the optimal processing capacity for the integrated academic affairs business.

• Journal of Digital Contents Society
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• v.16 no.6
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• pp.927-934
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• 2015

IMO e-Navigation is ongoing project for safety navigation and protection of maritime environment. Maritime Cloud is a part of e-Navigation Strategy Implementation Plan. It is IT framework technology for exchanging information among maritime stakeholders. We found configuration and operation process by analysis on Maritime Cloud architecture and EPD which is a client program. Through the result, we actually implemented client program. Client program targets Berthing data serviced on AIS-ASM. And we used MMS which is function of message exchanging of Maritime Cloud. The test result show data exchanging succeeded. And it will be helpful to develop Maritime Cloud service, to advance Korean Maritime Cloud.

• Smart Media Journal
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• v.6 no.3
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• pp.21-28
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• 2017

There is growing interest in the use of cloud services these days because the amount of sensitive physical information related to u-fitness-based exercise management increase in explosive. However, it is possible to illegally access information stored in a cloud server, and to find out who owns the information, even, to illegally deduce an association among the information stored in its memory. The cloud server may also intentionally pass over the owner's legitimate operation requests such as modification and deletion of stored information, and may lose or damage information due to its malfunction. So, it is strongly required to solve the above problems because we can not trust the cloud server entirely. In this paper, we propose a protocol to preserve the privacy of the owner for u-Fitness-based exercise management in a cloud computing environment. And we show that our proposed architecture is applicable in real environment through security analysis and performance analysis.

• Journal of Platform Technology
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• v.8 no.1
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• pp.10-15
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• 2020

Recently, various industrial sectors have introduced cloud service actively in their business because cloud computing technology enables storage·management and analysis·utilization of data easily in anytime, anywhere. Especially in financial sector, the business provocatively adopted the service and creates various innovative cases; furthermore, already in abroad, the sector has been accelerating digitization of analysis in cases of credit risk, financial fraud data, stock trading etc. On the contrary, in the domestic financial industry, not only the cloud service introduction and innovation cases are underperformed, but most of them are focused on the back-office service. Most Korean financial corporations are burdened with the adoption of cloud service due to various conservative regulatory requirements, such as regulations on data storage and management, regulations on privacy, and other tasks such as developing decision models and establishing responsibility standard for security incidents and service failures. In this study, it would be aimed to contribute to promote the introduction of the cloud in the domestic financial sector by drawing up preemptive challenges and inspecting priorities.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.405-414
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• 2014

It is very important to IT users that the Cloud service provides dynamic extension of IT resources and cost-saving. However, the reliability for Cloud service hinders utilizing Cloud service actively. Existing studies on assessment program for Cloud Service are executed by extracting information security assessment articles and adding features of cloud services by referencing ISO/IEC 27001:2005. This paper will review the recently released ISO/IEC 27001:2013 for the addition, reduction, and changing of articles for Controls and Control objectives. Comparative analysis for the Controls of ISO/IEC 27001:2013 with those of CSA CCMv.3, FedRAMP which is an assessment program for Cloud service will suggest Control Objects of Information Security Management System for related Cloud service. The suggestion of Controls will be an important reference index for the security policy of companies which manage the information security management system based on Cloud service.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.159-167
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• 2020

The Korean government has pursued various policies to revitalize the cloud industry since 2009. In particular, the government enacted the 'Cloud Computing and Privacy Security Act' for the first time in the world in 2015, creating institutions and support programs to boost the cloud industry. As a result, the volume of the cloud industry has increased significantly, and the number of companies and professionals have increased. In this paper, the researches analyzed the situation of Korean cloud market, usage of cloud computing in enterprises, effects and problems of cloud-enabled companies based on the industrial survey conducted from 2016 to 2019, In this study, the results showed concerns of security, uncertainty about cost savings, and IT capabilities of enterprises as problems in revitalizing the cloud industry. The researches also propose strategies, perception changes, and development processes for companies to resolve the problems.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.3
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• pp.121-135
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• 2011

We provide an economic evaluation model to help managers make reasonable decision for the investment in the appropriate type of cloud computing. Cloud computing can be classified into public, private and hybrid architecture and we evaluate their attractiveness using traditional NPV and real option methods. We conduct economic analysis by comparing traditional software delivery model with various types of cloud computing. The work compares each mode of cloud computing against each other using passive NPV and dynamic real-option method. For more objective and conservative evaluation of investment alternatives, we eliminate conventional benefits that are often subjective or hard to measure, and count only the reduction of investment cost and maintenance cost as benefit. We argue that hybrid and public cloud computing can be undervalued without their intrinsic options such as abandonment, expansion and contraction.

• Convergence Security Journal
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• v.22 no.2
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• pp.67-75
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• 2022

Due to the COVID-19 pandemic, many companies have introduced remote work. However, the introduction of remote work has increased attacks on companies to access sensitive information, and many companies have begun to use cloud services to respond to security threats. This study used LDA topic modeling techniques by collecting news data with the keyword 'cloud security' to analyze changes in domestic cloud security trends before and after the COVID-19 pandemic. Before the COVID-19 pandemic, interest in domestic cloud security was low, so representation or association could not be found in the extracted topics. However, it was analyzed that the introduction of cloud is necessary for high computing performance for AI, IoT, and blockchain, which are IT technologies that are currently being studied. On the other hand, looking at topics extracted after the COVID-19 pandemic, it was confirmed that interest in the cloud increased in Korea, and accordingly, interest in cloud security improved. Therefore, security measures should be established to prepare for the ever-increasing usage of cloud services.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.10
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• pp.261-268
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• 2021

Cloud computing is a computing paradigm in which users can utilize computing resources in a pay-as-you-go manner. In a cloud system, resources can be dynamically scaled up and down to the user's on-demand so that the total cost of ownership can be reduced. The Modeling and Simulation (M&S) technology is a renowned simulation-based method to obtain engineering analysis and results through CAE software without actual experimental action. In general, M&S technology is utilized in Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), Multibody dynamics (MBD), and optimization fields. The work procedure through M&S is divided into pre-processing, analysis, and post-processing steps. The pre/post-processing are GPU-intensive job that consists of 3D modeling jobs via CAE software, whereas analysis is CPU or GPU intensive. Because a general-purpose desktop needs plenty of time to analyze complicated 3D models, CAE software requires a high-end CPU and GPU-based workstation that can work fluently. In other words, for executing M&S, it is absolutely required to utilize high-performance computing resources. To mitigate the cost issue from equipping such tremendous computing resources, we propose HEMOS-Cloud service, an integrated cloud and cluster computing environment. The HEMOS-Cloud service provides CAE software and computing resources to users who want to experience M&S in business sectors or academics. In this paper, the economic ripple effect of HEMOS-Cloud service was analyzed by using industry-related analysis. The estimated results of using the experts-guided coefficients are the production inducement effect of KRW 7.4 billion, the value-added effect of KRW 4.1 billion, and the employment-inducing effect of 50 persons per KRW 1 billion.