• Journal of Wetlands Research
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• v.18 no.1
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• pp.100-112
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• 2016

In recent, the direction of water resources policy is changing from the typical plan for water use and flood control to the sustainable water resources management to improve the quality of life. This change makes the information related to water resources such as data collection, management, and supply is becoming an important concern for decision making of water resources policy. We had analyzed the structured data according to the purpose of providing information on water resources. However, the recent trend is big data and cloud computing which can create new values by linking unstructured data with structured data. Therefore, the trend for the management of water resources information is also changing. According to the paradigm change of information management, this study tried to suggest an application of big data and cloud computing in water resources field for efficient management and use of water. We examined the current state and direction of policy related to water resources information in Korea and an other country. Then we connected volume, velocity and variety which are the three basic components of big data with veracity and value which are additionally mentioned recently. And we discussed the rapid and flexible countermeasures about changes of consumer and increasing big data related to water resources via cloud computing. In the future, the management of water resources information should go to the direction which can enhance the value(Value) of water resources information by big data and cloud computing based on the amount of data(Volume), the speed of data processing(Velocity), the number of types of data(Variety). Also it should enhance the value(Value) of water resources information by the fusion of water and other areas and by the production of accurate information(Veracity) required for water management and prevention of disaster and for protection of life and property.

• Information Systems Review
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• v.19 no.1
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• pp.75-100
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• 2017

Today, firms are constantly transforming and innovating to survive under the rapidly changing business environment. The introduction of cloud computing services has become popular throughout society as a whole and is expected to result in many changes and developments not only in firms and but also in the public sector subject to innovation. The purpose of this study is to investigate the effect of the characteristics of cloud computing services on the perceived expected performance according to innovativeness based on innovation diffusion theory. The results of the analysis of the data collected from this research are as follows. The convenience and understanding of individuals' work as well as the benefits of cloud computing services to them depend on the innovative trend of cloud computing services. Further, the expectations for personal benefit and those for organizational benefit of cloud computing services are different from each other. Leading firms in the global market have been actively engaged in the utilization of cloud computing services in the public sector as well as in private firms. In consideration of the importance of cloud computing services, using cloud computing services as the target of innovation diffusion research is important. The results of the study are expected to contribute to developing future research models for the diffusion of new technologies, such as big data, digital convergence, and Internet of Things.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.5
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• pp.69-79
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• 2010

In the current cloud environments, the applications are executed on the remote cloud server, and they also utilize computing resources of the remote cloud server such as physical memory and CPU. Therefore, if remote server is exposed to security threat, every applications in remote server can be victim by several security-attacks. Especially, despite many advantages, both individuals and businesses often have trouble to start the cloud services according to the malicious administrator of the cloud server. We propose a security-enhanced local process executing scheme resolving vulnerability of current cloud computing environments. Since secret data is stored in the local, we can protect secret data from security threats of the cloud server. By utilizing computing resource of local computer instead of remote server, high-secure processes can be set free from vulnerability of remote server.

• Annual Conference of KIPS
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• 2012.11a
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• pp.262-263
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• 2012

하나의 클라우드 서비스 제공자가 제공하는 컴퓨팅 자원의 양과 종류에는 한계가 있다. 이를 극복하려면 클라우드 협업 기술인, 다중 클라우드 자원 브로커를 활용하여, 이종 자원을 탐색하여 사용자에게 제공하는 기술이 필요하다. 본 논문에서는 다중 클라우드 자원 브로커 시스템의 구조를 제안하고, 이종 자원 탐색에 필요한 성능 지표와 LP 모델을 이용한 최적화 기법을 제안하고자 한다.

• Annual Conference of KIPS
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• 2012.04a
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• pp.247-249
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• 2012

모바일 클라우드란 클라우드 컴퓨팅을 모바일 기기의 영역까지 확장시킨 것으로 모바일 기기의 특수성을 고려하여 클라우드 서비스를 제공하는 서비스를 말한다. 모바일 기기의 특수성에는 하드웨어 제한, 이동성, 모바일 환경에 최적화된 응용 등이 있고, 본 연구에서는 모바일 기기의 특수성을 반영하기 위해서 기기와 클라우드를 중계하는 브로커와 그 브로커에서의 퍼지 모델을 이용한 자원 프로바저닝 방법을 다룬다.

• Annual Conference of KIPS
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• 2012.04a
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• pp.250-252
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• 2012

모바일 클라우드란 컴퓨팅을 모바일 기기의 영역 까지 확장시킨 것으로 모바일 기기의 특수성을 고려하여 클라우드 서비스를 제공하는 서비스를 말한다. 본 연구에서 제안하는 모바일 클라우드 브로커(Mobile Cloud Broker, MCB)는 클라우드 서비스를 모바일 환경에서 이용할 수 있도록 여러가지 기능들을 제공해준다. 따라서 본 연구에서는 MCB가 지녀야 하는 요구사항과 구조를 다룬다.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.67-75
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• 2014

In this paper, we proposed offloading delay method which determines effectively offloading timing by measuring of handoff delay and offloading time at mobile node side in mobile environment. The propose method measures each of handoff delay and offloading time and making decision of proper offloading timing on mobile node side. Therefore, it is possible to support cloud computing without changing previous implemented cloud computing structure for fixed node in a mobile environment. We compare the energy consumption of server and node to analyze efficiency of proposed method by using existing method of energy consumption measurement. Simulation results shows the reducing energy consumption more than previous method and operation time similar to previous method.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.297-298
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• 2013

클라우드 컴퓨팅 산업의 발달로 클라우드 데이터를 관리하기 위한 연구들이 활발하게 진행되고 있다. 그러나 현재 연구되고 있는 다양한 형태의 클라우드 컴퓨팅 플랫폼들은 기술적, 정책적으로 개방성을 띄지 않아 사용자의 구축 환경에 따른 상호 운용성을 보장하지 못한다. 본 논문에서는 클라우드 환경에서 데이터 생성, 검색, 갱신, 삭제하기 위해 CDMI 국제 표준을 준수하는 저장소 인터페이스를 설계하고 구현한다. 이러한 인터페이스는 특별한 제약없이 클라우드 저장소를 구축하거나 사용하려는 개발자에게 필요한 기능을 제공한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.153-154
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• 2019

본 논문에서는 사물인터넷(Internet of Things, IoT)에 적용되어 사용될 수 있는 다중 게이트웨이 환경에서 각 게이트웨이의 자원 상황에 따라 종단 노드를 클라우드 단으로 직접 트레이드하여 처리함으로서 게이트웨이의 자원 소모를 줄이고 높은 처리량을 요구하는 종단 노드를 빠르게 처리 가능한 기법을 제안한다. 본 논문에서는 해당 기법의 효율성 입증을 위하여 클라우드 컴퓨팅이라는 대규모 환경을 가정하여 실험을 진행하였으며, 해당 실험의 결과에 따르면 높은 처리량을 요구하는 종단 노드를 클라우드 단에 트레이드하여 직접 처리함으로서 클라우드 단 하부의 다중 게이트웨이의 자원 소모율 감소 및 데이터 처리 속도가 증대 되었음을 확인할 수 있다.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.1-10
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• 2014

The cloud computing paradigm introduced pay-per-use models in which IT services can be created and scaled on-demand. However, service providers are still concerned about the constraints imposed by their physical infrastructures. In order to keep the required QoS and achieve the goal of upholding the SLA, virtualized resources must be efficiently consolidated to maximize system throughput while keeping energy consumption at a minimum. Using ANN, we propose a predictive SLA-aware approach for consolidating virtualized resources in a cloud environment. To maintain the QoS and to establish an optimal trade-off between performance and energy efficiency, the server's utilization threshold dynamically adapts to the physical machine's resource consumption. Furthermore, resource-intensive VMs are prevented from getting underprovisioned by assigning them to hosts that are both capable and reputable. To verify the performance of our proposed approach, we compare it with non-optimized conventional approaches as well as with other previously proposed techniques in a heterogeneous cloud environment setup.