• Electronics and Telecommunications Trends
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• v.31 no.1
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• pp.86-98
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• 2016

초연결 사회는 Information & Communication Technology(ICT)를 바탕으로 하는 만물인터넷 또는 사물인터넷으로 사람, 프로세스, 데이터, 사물이 서로 연결되어 지능화된 통신인프라를 통해 새로운 가치와 혁신의 창출이 가능해지는 사회로 변화하게 된다. 이러한 초연결 사회의 유무선 통신서비스를 단일 통신인프라에서 제공할 수 있는 기술이 필요하다. 이를 구현하기 위해서는 분산된 네트워크 장비들을 소프트웨어적으로 용이하게 통합운영 관리할 수 있는 Software Defined Networking(SDN) 기술과 컴퓨팅, 서버 스토리지 및 네트워크 자원을 가상화하고, 오픈 인터페이스를 통하여 소프트웨어적으로 네트워크 기능제어가 가능한 Network Functions Virtualization(NFV) 기술에 의한 지능형 융합 통신인프라가 매우 중요하다. 본고에서는 초연결 통신인프라를 위한 클라우드 컴퓨팅 가상화 기술, NFV 기술동향 및 NFV Use Cases에 대한 내용을 통하여 향후 초연결 서비스 제공을 위한 통신인프라 구축 방향을 제시하고자 한다.

• Information Systems Review
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• v.22 no.2
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• pp.1-24
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• 2020

Cloud computing technology is expanding its services to individual consumers through storage and applications. This study aims to compare the predisposing factors that affect the perceived value and the intention to use between users who have used or experienced services and those who have never experienced services from the perspective of benefit and sacrifice based on the value-based acceptance model. The results showed that the sacrifice factor (perceived cost) had a significant effect on perceived value and perceived value had a significant effect on intention to use, but showed a difference in perceived benefit. Perceived usefulness, ubiquity, and network effects had significant impact for experienced users' perceived value, but for inexperienced users, ubiquity did not have significant impact. In addition, usefulness was the most significant factor for experienced users while network effect was the same for inexperienced users. The results of this study suggest that consumers' intention to use personal cloud service is evaluated as a benefit and sacrifice point and a new attempt to re-examine the role of previous experience.

• Smart Media Journal
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• v.10 no.1
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• pp.99-107
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• 2021

In addition to the 4th Industrial Revolution and Industry 4.0, the recent megatrends in the ICT field are Big-data, IoT, Cloud Computing, and Artificial Intelligence. Therefore, rapid digital transformation according to the convergence of various industrial areas and ICT fields is an ongoing trend that is due to the development of technology of AI services suitable for the era of the 4th industrial revolution and the development of subdivided technologies such as (Business Intelligence), IA (Intelligent Analytics, BI + AI), AIoT (Artificial Intelligence of Things), AIOPS (Artificial Intelligence for IT Operations), and RPA 2.0 (Robotic Process Automation + AI). This study aims to integrate and advance various machine learning services of infrastructure-side GPU, CDA (Connected Data Architecture) framework, and AI based on mass distributed Abyss storage in accordance with these technical situations. Also, we want to utilize AI business revenue model in various industries.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.93-100
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• 2017

Recently, demands for high-performance flash-based storage devices (i.e., flash SSD) have rapidly grown in social network services, cloud computing, super-computing, and enterprise storage systems. The industry and academic communities made the NVMe specification for high-performance storage devices, and NVMe-based flash SSDs can be now obtained in the market. In this article, we evaluate performance of NoSQL databases that social network services and cloud computing services heavily adopt by using NVMe-based flash SSDs. To this end, we use NVMe SSD that Samsung Electronics recently developed, and the SSD used in this study has performance up to 3.5GB/s for sequential read/write operations. We use WiredTiger for NoSQL databases, and it is a default storage engine for MongoDB. Our experimental results show that log processing in NoSQL databases is a major overhead when high-performance NVMe-based flash SSDs are used. Furthermore, we optimize components of log processing and optimized WiredTiger show up to 15 times better performance than original WiredTiger.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.119-131
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• 2018

The increase of high-resolution spatial data and methodological developments in recent years has enabled a detailed analysis of individual experiences in space and over time. However, despite the increasing availability of data and technological advances, such individual-level analysis is not always possible in practice because of its computing requirements. To overcome this limitation, there has been a considerable amount of research on the use of high-performance, public cloud computing platforms for spatial analysis and simulation. The purpose of this paper is to empirically evaluate the efficiency and effectiveness of spatial analysis in cloud computing platforms. We compare the computing speed for calculating the measure of spatial autocorrelation and performing geographically weighted regression analysis between a local machine and spot instances on clouds. The results indicate that there could be significant improvements in terms of computing time when the analysis is performed parallel on clouds.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.107-109
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• 2016

최근 클라우드 컴퓨팅 기술의 발전은 기존에 어려웠던 응용연구 분야의 실험 환경 구축을 용이하게 함으로써 새로운 협업연구 패러다임을 가져오고 있다. 본 논문에서는 고성능 연구망 기반의 협업연구 환경을 구축하기 위해 필요한 데이터 공유 및 전송에 관한 서비스 제공 방안을 제안한다. 이러한 서비스 모델은 연구망의 특성을 반영하고, 접근 패턴이 다른 사용자들을 동시에 수용할 수 있도록 구성된다. 이를 토대로, 최근 오픈소스 소프트웨어로 활발히 이용되는 서비스 구성 요소들을 분류 및 선택하여 실험 테스트베드를 구성하고, 활용 시나리오별 데이터 전송 실험을 수행함으로써 제안 서비스의 활용 가능성을 확인하였다.

• Electronics and Telecommunications Trends
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• v.28 no.6
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• pp.141-149
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• 2013

개별적으로 발달해 온 서버, 스토리지, 네트워크 기술들이 데이터 센터를 중심으로 서로 통합되어 궁극의 서비스 제공면에서 더욱 저렴하고 자동화되는 측면으로 발달하고 있다. 이에 벤더들은 개별 기술 단위를 넘어 통합 기술로 발달시키고 있다. 이를 IDC와 가트너는 통합시스템(Converged System, Integrated System)이라고 명명하였다. 이런 기술 트렌드를 개별 벤더의 제품에서 분석 확인한다. 한국의 경우에도 지역적으로 분산된 마이크로 IDC 형태를 취하면서 클라우드 지원과 텔레콤 통신지원의 통합제어를 목표로 '스마트인터넷' 프로젝트를 진행 중이다. 클라우드 지원관리의 대표 기술인 오픈스택과 텔레콤 통신자원의 새로운 기술을 요약하면서 네트워크 관점에서 통합시스템(Converged System)과 스마트 인터넷의 기술 동향을 분석해 본다.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.4
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• pp.17-27
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• 2010

Major IT vendors expect that cloud computing technology makes it possible to reduce the contents service cycle, speed up application deployment and skip the installation process, reducing operational costs, proactive management etc. However, cloud computing environment for massive content service solutions requires high-performance data processing to reduce the time of data processing and analysis. In this study, Efficient_Cloud_Processing_Scheme(ECPS) is proposed for allocation of resources for massive content services. For high-performance services, optimized resource allocation plan is presented using MapReduce programming techniques and association rules that is used to detect hidden patterns in data mining, based on levels of Hadoop platform(Infrastructure as a service). The proposed ECPS has brought more than 20% improvement in performance and speed compared to the traditional methods.

• Convergence Security Journal
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• v.21 no.3
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• pp.25-30
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• 2021

Due to the current COVID-19 pandemic, companies and institutions are introducing virtual desktop technology, one of the logical network separation technologies, to establish a safe working environment in a situation where remote work is provided. With the introduction of virtual desktop technology, companies and institutions can operate the network separation environment more safely and effectively, and can access the business network quickly and safely to increase work efficiency and productivity. However, when introducing virtual desktop technology, there is a cost problem of high-spec server, storage, and license, and it is necessary to supplement in terms of operation and management. As a countermeasure to this, companies and institutions are shifting to cloud computing-based technology, virtual desktop service (DaaS, Desktop as a Service). However, in the virtual desktop service, which is a cloud computing-based technology, the shared responsibility model is responsible for user access control and data security. In this paper, based on the shared responsibility model in the virtual desktop service environment, we propose a cloud-based hardware security module (Cloud HSM) and edge-DRM proxy as an improvement method for user access control and data security.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.334-337
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• 2016

최근 계산과학 분야의 웹 기반 클라우드 시뮬레이션 서비스를 제공하고 있는 해외의 업체들을 중심으로 오픈 소스를 통한 웹 브라우저에서 형상설계와 전후처리, 그리고 해석 수행의 최신 동향을 살펴본다. 또한 온라인상의 방대한 스토리지를 기반으로 사용자들의 해석 진행 과정과 결과의 공유를 통해 의미 있는 데이터를 축적하고, 커뮤니티를 통해 사용자들이 서로 교류하는 환경이 가지는 장점을 살펴보며 이를 바탕으로 앞으로 웹 기반 공학 시뮬레이션 플랫폼 서비스의 진행 방향을 제시한다.