• Title/Summary/Keyword: 클라우드-컴퓨팅

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A study on the vulnerability and corresponding technique trends of the cloud computing service (클라우드 컴퓨팅 서비스의 취약성과 대응기술 동향에 관한 연구)

  • Jeon, Jeong Hoon
    • Convergence Security Journal
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    • v.13 no.6
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    • pp.17-24
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    • 2013
  • Recently, the cloud computing technology is emerging as an important issue in the world, and In the technology and services has attracted much attention. However, the positive aspects of cloud computing unlike the includes several vulnerabilities. For this reason, the hacking techniques according to the evolution of a variety of attacks and damages is expected. Therefore, this paper will be analyzed through case studies and experiments to the security technology trends of the cloud computing. and In the future, this is expected to be utilized as a basis for the security system design and corresponding technology development.

Trends of Storage Virtualization Technologies on Cloud Computing (클라우드 컴퓨팅에서 스토리지 가상화 기술 동향)

  • Kim, Y.C.;Cha, M.H.;Lee, S.M.;Kim, Y.K.
    • Electronics and Telecommunications Trends
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    • v.24 no.4
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    • pp.69-78
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    • 2009
  • 가상화는 클라우드 컴퓨팅 서비스를 제공하기 위한 기반 기술로 서버, 스토리지, 네트워크 등과 같은 컴퓨팅 자원을 통합 관리하면서 필요에 따라 자원을 할당함으로써 자원 활용률을 높이고 운영 비용을 절감할 수 있도록 한다. 또한 가상화된 자원에 대한 높은 확장성과 안정성을 제공할 수 있다. 최근에 클라우드 컴퓨팅에서 제공하는 스토리지 서비스는 이러한 가상화 기술 중에서 스토리지 가상화 기술을 기반으로 한다. 본 고에서는 클라우드 컴퓨팅 서비스에서 요구하는 스토리지 가상화 기술과 클라우드 스토리지 서비스에 대해 살펴본다.

A Study on the Privacy Security Management under the Cloud Computing Service Provider (클라우드 컴퓨팅 서비스 제공자의 개인정보보호 조치방안에 대한 연구)

  • Yu, Woo-Young;Lim, Jong-In
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.2
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    • pp.337-346
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    • 2012
  • According to cloud computing service is increasing of using the Internet technology, it's increasing privacy security risks and out of control of security threats. However, the current cloud computing service providers does not provide to solutions of the privacy security management. This paper discusses the privacy security management issue of cloud computing service, and propose solutions to privacy information threats in cloud computing environment.

Process based Origin Decision System (프로세스 기반 원산지관리시스템)

  • Chung, Moonyoung;Yang, Kyung-Ah;Gu, Gyeong-Lee;Won, Hee Sun;Hur, Sung Jin
    • Annual Conference of KIPS
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    • 2010.11a
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    • pp.451-452
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    • 2010
  • 본 논문에서는 FTA 원산지 관리를 체계적으로 할 수 있는 프로세스기반 원산지관리시스템을 소개한다. 본 시스템은 BPM 을 기반으로 FTA 원산지 판정을 하는 최초의 시스템으로, 원산지판정절차를 프로그램 소스 코드로 작성하는 것이 아니라 프로세스 모델링 방식으로 정의하여, 사용자가 원산지판정 로직을 작성하기가 용이하며, 변경된 절차를 수정하고 관리하기에 편리하다.

A Study on Method for Load Balancing in Desktop Cloud Computing Environment (데스크탑 클라우드 컴퓨팅 환경에서의 로드 밸런싱 기법에 관한 연구)

  • Shin, Eun Hwan;Kim, Jee Hong;Eom, Young Ik
    • Annual Conference of KIPS
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    • 2010.04a
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    • pp.234-237
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    • 2010
  • 클라우드 컴퓨팅 기술의 발전으로 서버 환경에 한하여 적용되었던 가상화 기술이 데스크탑 환경으로 빠르게 확산되어가고 있다. 클라우드 컴퓨팅 환경은 가상화 기술을 이용하여 하나의 물리적 자원위에서 여러 개의 가상 머신을 운용하기 때문에 효과적인 로드 밸런싱(load balancing) 기법을 필요로 한다. 하지만 기존 서버 가상화 환경에서의 로드 밸런싱 정책은 프로세서와 네트워크 사용률을 주된 로드 측정의 기준으로 삼았다. 그에 반해 데스크탑 클라우드 컴퓨팅 환경 하에서의 데스크탑 가상 머신은 사용자 유형에 따라 다양한 종류의 작업 요청을 처리해야 하기 때문에 처리 중인 작업의 특성을 고려한 보다 유연한 로드 밸런싱 정책을 필요로 한다. 본 연구에서는 데스크탑 클라우드 컴퓨팅 환경에 적합한 로드 밸런싱 정책을 제시하고, 이를 바탕으로 제안하는 기법이 가지는 효율성을 기존 방식과 비교 및 분석 하였다.

A Method for Dynamic Query Creation for Multitenant Schema in SaaSpia (SaaSpia 에서 다중테넌트 지원을 위한 질의 처리 방법)

  • Chung, Moonyoung;Yang, KyungAh;Ku, Kyong-I;Won, Hee Sun;Hur, Sung Jin
    • Annual Conference of KIPS
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    • 2011.11a
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    • pp.1474-1475
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    • 2011
  • 본 논문에서는 다중 테넌트를 지원하기 위한 도구를 이용한 질의 생성 방법 및 질의 처리 방법, 그에 따른 페이지 자동 생성 방법을 제안한다.

Building the Educational Practice System based on Open Source Cloud Computing (오픈소스 클라우드 컴퓨팅 기반 교육 실습 시스템 구축)

  • Yoon, JunWeon;Park, ChanYeol;Song, Ui-Sung
    • Journal of Digital Contents Society
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    • v.14 no.4
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    • pp.505-511
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    • 2013
  • Recently, cloud computing is being emerged paradigm that a support computing resource flexible and scalable to users as the want in distributed computing environment. Actually, cloud computing can be implemented and provided by virtualization technology. In this paper, we studied open source based cloud computing and built a educational practice system through cloud computing. Virtualization-based cloud computing provides optimized computing resources, as well as easy to manage practical resource and result. Therefore, we can save the time for configuration of practice environment. In the view of faculty, they can easily handle the practice result. Also, those practice condition reuse comfortably and apply to various configuration simply. And then we can increase capabilities and availabilities of limited resources.

A Study on the Application of the LMS and LCMS Based E-Learning in the Cloud Computing Environment (클라우드 컴퓨팅 환경에서LMS와 LCMS기반의 이러닝 적용 방안)

  • Jeong, Hwa-Young;Kim, Eun-Won;Hong, Bong-Hwa
    • 전자공학회논문지 IE
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    • v.47 no.1
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    • pp.56-60
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    • 2010
  • The widespread development of IT, growth of Web 2.0 application, the proliferation of personal hand held devices with access to the internet, and the availability of wireless networks, each have played an important role in creating the cloud computing model. Cloud computing is a business model and new trend of web application technology. The term is often used in the same context as grid computing or utility computing. In the cloud computing environment, we are able to use the same all of hardware resources in the server and share information easily. In this paper, we aimed a study to apply e-learning part to cloud computing environment. For this purpose, we proposed an application of LMS and LCMS based e-learning in the cloud computing environment. So LMS including LCMS connected to data center of cloud computing.

Script-based cloud integration mechanism to support hybrid cloud implementation (하이브리드 클라우드 구축을 지원하기 위한 스크립트 기반의 클라우드 결합 기법)

  • Kim, Ungsoo;Park, Joonseok;Yeom, Keunhyuk
    • The Journal of Korean Institute of Next Generation Computing
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    • v.13 no.5
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    • pp.80-92
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    • 2017
  • The popularity of cloud computing has led to the emergence of various types of cloud services, and the hybrid cloud, a deployment model that integrates public cloud and private cloud and offset their shortcomings, is in the spotlight recently. However, the complexity of different clouds integration and the lack of related integration solutions have delayed the adoption of hybrid cloud and cloud strategy by companies and organizations. Therefore, in this paper, we propose a cloud integration mechanism to solve the integration complexity problem. The cloud integration mechanism proposed in this paper consists of integration script that solves the cloud integration by the script based on the hybrid cloud function, a process of creating and executing it, and a script creation model applying the software design pattern. By integrating the various cloud services, we can quickly generate scripts that meet the user's needs. It is expected that the introduction of hybrid cloud and the acquisition of cloud strategy can be accelerated through this proposed integration mechanism.

A study of Modeling and Simulation for the Availability Optimization of Cloud Computing Service (클라우드 컴퓨팅 서비스의 가용성 최적화를 위한 모델링 및 시뮬레이션)

  • Jang, Eun-Young;Park, Choon-Sik
    • Journal of the Korea Society for Simulation
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    • v.20 no.1
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    • pp.1-8
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    • 2011
  • Cloud computing emerges as a new paradigm for deploying, managing and offering IT resources as a service anytime, anywhere on any devices. Cloud computing data center stores many IT resources through resource integration. So cloud computing system has to be designed by technology and policy to make effective use of IT resources. In other words, cloud vendor has to provide high quality services to all user and mitigate the dissipation of IT resources. However, vendors need to predict the performance of cloud services and the use of IT resources before releasing cloud service. For solving the problem, this research presents cloud service modeling on network environment and evaluation index for availability optimization of cloud service. We also study how to optimize an amount of requested cloud service and performance of datacenter using CloudSim toolkit.