• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.185-187
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• 2012

최근 클라우드 컴퓨팅 기술은 기존의 서버, 데스크톱 컴퓨팅 환경을 빠르게 변화시키며, 차세대 인터넷 서비스의 핵심 분야로 부각되고 있다. 클라우드 컴퓨팅 기술 중 특히 저비용, 안정성, 확장성, 무결성 그리고 보안성을 가지고 있는 클라우드 스토리지 서비스가 각광 받고 있다. 이에 본 논문은 클라우드 스토리지 기반 기술인 분산 파일 시스템에 관해서 살펴보고, 오픈소스 기반의 분산 파일 시스템인 MooseFS, XtreemFS, GlusterFS, Ceph 등을 이용하여 시스템 구축 및 성능 측정을 수행 하였다. 수행결과 Postmark에서는 GlusterFS, MD5SUM에서는 XtreemFS가 가장 좋은 성능을 보여주었다.

• The KIPS Transactions:PartD
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• v.18D no.6
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• pp.481-492
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• 2011

Recently, various mobile services are provided by the spread of wireless network infrastructures and smart devices. The improvement of cloud computing technologies increases the interests for enterprise mobile cloud services in various IT companies as well. By increasing the interests for enterprise mobile cloud services, it is necessary to evaluate the use of enterprise mobile cloud services. Therefore, the factors which affect the user acceptance of enterprise mobile cloud services are analyzed on the basis of Davis' technology acceptance model in this research. As analysis results, four external variables have significant effects on perceived ease of use of mobile cloud services. Also, these variables indirectly affect attitude toward using cloud services. The results show that the security is the most important factor for attitude toward using enterprise mobile cloud services. The service users also consider the interoperability as an important factor for the user acceptance of cloud services. The perceived ease of use has more contribution than the perceive usefulness on attitude toward using enterprise mobile cloud services. This research has both industrial and academic contributions because it provides the guideline to companies for introducing the enterprise mobile cloud services and apply the technology acceptance model on new IT services.

• Journal of the Korea Society for Simulation
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• v.22 no.1
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• pp.77-86
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• 2013

Cloud computing is one of the distributed computing environments and utilizes several computing resources. Cloud environment uses a virtual machine to process a requested job. To balance a workload and process a job rapidly, cloud environment uses a provisioning technique and assigns a task with a status of virtual machine. However, a scheduling method for cloud computing requires a definition of virtual machine availabilities, which have an obscure meaning. In this paper, we propose Fuzzy logic driven Virtual machine Provisioning scheduling using Resource Evaluation(FVPRE). FVPRE analyzes a state of every virtual machine and actualizes a value of resource availability. Thus FVPRE provides an efficient provisioning scheduling with a precise evaluation of resource availability. FVPRE shows a high throughput and utilization for job processing on cloud environments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.7
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• pp.512-518
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• 2013

A resource allocation algorithm has a high impact on user satisfaction as well as the ability to accommodate and process services in a distributed cloud computing. In other words, service rejections, which occur when datacenters have no enough resources, degrade the user satisfaction level. Therefore, in this paper, we propose a resource allocation algorithm considering the cloud domain's remaining resources to minimize the number of service rejections. The resource allocation rate based on Q-Learning increases when the remaining resources are sufficient to allocate the maximum allocation rate otherwise and avoids the service rejection. To demonstrate, We compare the proposed algorithm with two previous works and show that the proposed algorithm has the smaller number of the service rejections.

• Convergence Security Journal
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• v.15 no.4
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• pp.27-33
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• 2015

In this paper, the development level of information security technology for internet of things(Iot), big data and clo ud services is analyzed, and the detail policy is proposed to be leader in area of patents and ICT standard. The conc ept of ICT convergence is defined frist, market and current state of technology for three convergence services is the n analyzed, and finally main function and security target for each technology are presented. The evaluation criteria a nd IPR are analyzed to diagnose the level of patent and standard for the technology. From the results, even though the domestic competence is inferior compared to other advanced country, the efficient policy should be presented by using our capability for the big data and cloud. Furthermore, the technology development for the IoT and cloud is ne eded in advance considering the market-technology influence effects. In addition to, M2M security framework in IoT, data security in big data and reliable networking in cloud should be developed in advance.

• Journal of Digital Convergence
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• v.10 no.10
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• pp.523-528
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• 2012

The recent appearance and evolution of cloud service including IaaS(Infrastructure as a Service), PaaS(Platform as a Service) and SaaS(Software as a Service) is potentially one of the major advances in information and communication technology. While a lot of studies are currently taking place in the technology itself, there is an equally urgent need for understanding and researching the business-related issues surrounding cloud service. As more and more individuals and companies use the cloud service, their concerns are beginning to grow about just how safe and reliable an environment it is. This paper focus on SaaS as an one of the important cloud service. For successful implementation of SaaS service, it is necessary to establish the certification systems to ensure safety and reliability of SaaS. This paper provides the safe and reliable framework for systematic SaaS certification systems. In order to develop it, the critical issues related to service quality and certification of SaaS service are identified and the systematic framework for certification systems of SaaS service and service provider domains are developed. An evaluation methodology for the developed certification systems is also proposed.

• Journal of Internet Computing and Services
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• v.13 no.6
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• pp.33-40
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• 2012

The cloud service has become the significant factor to save the IT operation cost and to improve the productivities in companies. It was introduced to Korea for enterprise services of major companies in 2008. As the increase of recognition for its effect, more small businesses and public institutions plan to introduce the cloud computing services. The cloud computing researches have only focused on the security threats and response technologies to them. Therefore, this research analyzed the importances of responses to security threats in specific domains. The domains were divided into managerial, physical, and technical security. The specific factors in three domains were used for the analysis in this research as well. The ordered logit model was used for the analysis and the analysis results showed that physical security and managerial security are considered to be significantly important in the cloud computing security. The results also presented that the security policy, the control and surveillance to service infrastructure, and application security are highly important in the respect of specific factors. This research will contribute to enterprises or institutions in Korea, which want to introduce the cloud computing services, by aiding the establishment of effective security strategies.

• Electronics and Telecommunications Trends
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• v.29 no.6
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• pp.102-112
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• 2014

최근 빌링(billing, 과금), 벤치마킹, 확장성(scalability), 통계적 목적을 위해 오픈스택 클라우드의 개별 컴포넌트를 모니터링하고 메터링하는 텔레메터링 서비스가 Ceilometer라는 코드명으로 정식 프로젝트로 추가되었다. 초기의 빌링만을 위해 필수 요소만 모니터링하는 것에서, 상태를 감시하여 클라우드 자원의 오토스케일링 등의 오케스트레이션 기능을 위한 다목적성으로 발전하고 있다. 특히 이것은 빅데이터 등의 데이터 분석에 있어서 중요한 힌트를 제공해 준다. 본고는 소스분석을 통한 Ceilometer의 데이터 수집 구조, Ceilometer 모니터링의 핵심 키워드, 비정형 데이터 DB인 MongoDB, 외부인터페이스로써 API(Application Interface) 혹은 CLI(Command Line Interface) 명령어를 소개하고자 한다. 결론에서는 ceilometer의 전반적 구조에 대한 나름대로의 평가를 기술하였다.

• Journal of KIISE
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• v.45 no.1
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• pp.76-85
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• 2018

Governments and public agencies try to use the cloud to carry out their work and provide public services. However, a public cloud is vulnerable to security side because it has a structure to support services using public networks (i.e, the internet). Thus, this paper finds the general security vulnerabilities of a network and compares and analyzes the characteristics of transport protocols (UDP, TCP, SCTP, and MPTCP) on the basis of their security vulnerabilities. This paper uses a reliability and security factor for the comparative analysis, evaluates the security exposure, and chooses a suitable protocol considering the security of the transport protocols in the cloud circumstance.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.111-118
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• 2010

최근 IT 분야에서 인터넷을 기반으로 IT 자원들을 서비스 형태로 제공하는 클라우드 컴퓨팅에 대한 연구가 활발히 진행되고 있다. 한편, 효율적인 클라우드 컴퓨팅을 제공하기 위해서는, 막대한 양의 데이터를 수많은 서버들에 분산 처장하고 관리하기 위한 분산 데이터 처장 기법 빛 분산 병렬 처리 기법에 대한 연구가 필수적이다. 이를 위해 본 논문에서는 대표적인 분산 병렬 처리 기법에 대해 살펴보고, 이를 비교 분석한다. 마지막으로 Hadoop 기반 클러스터를 구축하고 이를 통해서 대규모 데이터를 위한 분산 병렬 처리 기법에 대한 성능평가를 수행한다.