• Annual Conference of KIPS
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• 2011.11a
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• pp.858-861
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• 2011

Smart Society로 나아가는 핵심으로 손꼽히는 모바일의 급속한 확산은 교육, 교통, 경제뿐만 아니라 건강에도 큰 영향을 미치고 있다. 그동안 발전이 미진했던 u-Health 기술 및 시장 역시 모바일로 인해 새로운 서비스 모델을 제시함으로써 발전하고 있다. 본 논문은 제안하는 시스템은 u-Health 서비스 중 sensor를 이용하여 원격지 환자의 생체정보를 수집하고, 실시간으로 병원의 클라우드 서버에 전송하는 시스템에서 사용자 검증에 대하여 연구하였다. 여기서 사용자란 클라우드 서버에 접속하는 의사를 말하며, 환자의 생체정보를 보기 위하여 시스템 접속함에 있어 공인인증서나 기타 인증 시스템과 비교해 간편하고, 네트워크 트래픽이 적은 사용자 검증 시스템을 목표로 한다. 그리하여 QRcode를 3개 생성하고, 각 클라우드 서버에 분산 분배 후 서로 섞음으로써 기존의 QRcode와 전혀 다른 인증용 QRcode를 생성할 수 있었다. 이것을 3차원 인덱스를 통해 원본 사용자 QRcode와 대조함으로 사용자 검증 과정을 수행시킴으로써 절차를 간소화하고 네트워크 트래픽을 약 15% 감소시킬 수 있었다.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.1-8
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• 2014

Cloud computing helps big data processing to make various information using IT resources. The government has to start the RPS(Renewable Portfolio Standard) and induce the production of electricity using renewable energy equipment. And the government manages system to gather big data that is distributed geographically. The companies can purchase the REC(Renewable Energy Certificate) to other electricity generation companies to fill shortage among their duty from the system. Because of the RPS use voluntary competitive market in REC trade and the prices have the large variation, RPS is necessary to predict the equitable REC price using RPS big data. This paper proposed REC price prediction method base on fuzzy logic using the price trend and trading condition infra in REC market, that is modeled in cloud computing environment. Cloud computing helps to analyze correlation and variables that act on REC price within RPS big data and the analysis can be predict REC price by simulation. Fuzzy logic presents balanced REC average trading prices using the trading quantity and price. The model presents REC average trading price using the trading quantity and price and the method helps induce well-converged price in the long run in cloud computing environment.

• Journal of Digital Contents Society
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• v.15 no.5
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• pp.595-602
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• 2014

Cloud computing is already well known 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. Also, various products are released or under development. In this paper, we built the teaching practice system using cloud computing and evaluated practical environment which constructed over a virtual machine. 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. Additionally, we measure the performance requirements for educational applications through evaluation of virtual-based teaching practical system in advance.

• Journal of the Korea Society for Simulation
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• v.23 no.1
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• pp.1-10
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• 2014

A cloud computing is one of a parallel and distributed computing. The cloud computing provides some service for user with virtual resources. However, a user's service request does not show a time pattern. As a result, each resource also shows a different availability at the same time. This difference affects a quality of service (QoS) and a resource selection for users. Therefore, we propose the resource availability-based multi auction model for cloud service reservation and resource brokering system. The proposed system is to select the proper resource provider based on the users' request. The proposal adopts the multi phase of the auction to transact resources. The system evaluates the available factor of each resource on the auction phase, and finally reserves the service on the adaptive queue. The proposed model shows the better performance than other existing method.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.155-164
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• 2015

Information dispersal algorithm guarantees high availability and confidentiality for data and is one of the useful solutions for faulty and untrusted dispersed storage systems such as cloud storages. As the amount of data stored in storage systems increases, data deduplication which allows to save IT resources is now being considered as the most promising technology. Hence, it is necessary to study on an information dispersal algorithm that supports data deduplication. In this paper, we propose an information dispersal algorithm and proof of ownership for client-side data deduplication in the dispersed storage systems. The proposed solutions allow to save the network bandwidth as well as the storage space while giving robust security guarantee against untrusted storage servers and malicious clients.

• Annual Conference of KIPS
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• 2015.04a
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• pp.164-166
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• 2015

Recently, the implementations of private and public cloud service (IaaS: Infrastructure as a Service) have been growing rapidly. As a result, the need to provide High-Availability and Load-Balancing for the users has also increased. Openstack which is one of cloud computing solutions currently offers a feature to meet the need through an extension called Load Balancing as a Service (LBaaS). This paper will provide a detailed explanation about Openstack's LBaaS and its operation principle will be analyzed through the actual implementation.

• Annual Conference of KIPS
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• 2015.10a
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• pp.197-198
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• 2015

IT 기술의 진보적 발전에 따라 클라우드 컴퓨팅 분야 연구들이 활발히 진행되고 있다. 클라우드 컴퓨팅은 가상화 기술을 이용하여 크게 인프라, 플랫폼, 소프트웨어 관점으로 나뉘어 사용자에게 다양한 서비스를 제공한다. 가상화 기술 중에 Desktop Storage Virtualization (DSV)은 분산된 레거시 데스크탑으로 구성되어 있기 때문에 비가용 상태 시간별 클러스터링 및 사용자 요청에 따른 자동 확장이 매우 중요시된다. 본 논문에서는 GPU의 many-core를 이용하여 분산된 데스크탑의 성능 상태 분석 및 자동 확장을 위해 스레드별로 호스트를 매핑하고 병렬적으로 처리하는 Rapid Auto Scaling Mechanism (RASM)을 제안한다.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.85-91
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• 2014

Cloud storage system uses a distributed file system for storing and managing data. Traditional distributed file system makes a triplication of data in order to restore data loss in disk failure. However, enforcing data replication method increases storage utilization and causes extra I/O operations during replication process. In this paper, we propose a data replication method using erasure codes in cloud storage system to improve storage space efficiency and I/O performance. In particular, according to data access frequency, the proposed method can reduce the number of data replications but using erasure codes can keep the same data recovery performance. Experimental results show that proposed method improves performance in storage efficiency 40%, read throughput 11%, write throughput 10% better than HDFS does.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.9
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• pp.590-597
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• 2014

This paper proposes multi-camera system that relies on 3D views for panoramic video and distribution method about panoramic video generation algorithm by using cloud computing. The proposed monitoring system monitors the projected 3D model view, instead of individual 2D views, to detect image distortions. This can minimize compensation errors caused by parallax, thereby improving the quality of the resulting panoramic video. Panoramic video generation algorithm can be divided into registration part and compositing part. Therefore we propose off-loading method of these parts with cloud computing for panoramic video service.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.22-29
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• 2019

Due to the development of ICT technology, convergence reality contents are utilized as technology for providing services in various industrial fields by visualizing various information such as sensor information and shared information in a service platform showing only simple three-dimensional contents. Research is underway to reduce the weight of applications by transmitting the resources of the object to be enhanced to the network as the information and the contents to be provided increase. In order to provide resources through the network, servers for processing various information such as pattern information, content information, and sensor information must be constructed in a cloud environment. However, in order to authenticate data transmitted and received in real-time in a cloud environment, there is a problem in that the processing is delayed and a delay phenomenon occurs in the rendering process and QoS is lowered. In this paper, we propose a system to distribute cloud server which provides augmented contents of convergent reality service that provides various contents such as sensor information and three - dimensional model, and shorten the processing time of reliable data through distributed relay between servers Respectively.