• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2167-2175
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• 2017

In recent years, an IoT is dramatically developing according to the enhancement of AI, the increase of connected devices, and the high-performance cloud systems. Huge data produced by many devices and sensors is expanding the scope of services, such as an intelligent diagnostics, a recommendation service, as well as a smart monitoring service. The studies of edge computing are limited as a role of small server system with high quality HW resources. However, there are specialized requirements in a smart factory domain needed edge computing. The edges are needed to pre-process containing tiny filtering, pre-formatting, as well as merging of group contexts and manage the regional rules. So, in this paper, we extract the features and requirements in a scope of efficiency and robustness. Our edge offers to decrease a network resource consumption and update rules and learning models. Moreover, we propose architecture of edge computing based on learning factors sharing with a cloud system in a smart factory.

• Journal of the Korea Convergence Society
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• v.7 no.1
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• pp.17-23
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• 2016

In this paper, we describe a case of utilizing SaaS technology to build NC Post-processor(WBS) based cloud computing. Developed WPS system was implemented to provide stable and continuous system service by utilizing SCoD methodology. WPS is designed user interface module and control engine module. The interface module is downloaded in a client PC and the control engine is installed in cloud parm area. These modules are connected with computer network. WPS was completed a function test for sheet cutting field and mold manufacturing field, and it is processing a commercial service using with improve the user's convenience and adding a bill charge module.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.851-852
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• 2009

웹개발 기술의 빠른 발전에 따라 컴퓨팅 패러다임이 변화하고 있고, 이에 따라 클라우드 컴퓨팅이라는 새로운 시대가 열리고 있다. 또한 웹으로 공유된 다양한 정보와 서비스들은 사용자들에 의해 조합되어 매쉬업이라는 웹어플리케이션 형태로 등장하고 있다. 본 논문에서는 웹에 기반하여 접근성을 높이고 오픈 API의 사용이 용이하며 다양한 플랫폼으로 코드를 배포할 수 있는 개발도구의 구조를 제안한다. 또한 이 구조를 이용하여 UIzard라는 개발도구를 구현하고 이것을 이용한 지도 매쉬업의 실제 개발 사례를 평가하여 제안하는 웹기반 개발도구 구조의 높은 효율성을 확인하였다.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.10
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• pp.429-436
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• 2017

There is a growing tendency to outsource sensitive or important data in cloud computing recently. However, it is very important to protect the privacy of outsourced data. So far, a variety of secure and efficient multi-keyword search schemes have been proposed in cloud computing environment composed of a single data owner and multiple data users. Zhang et. al recently proposed a search protocol based on multi-keyword in cloud computing composed of multiple data owners and data users but their protocol has two problems. One is that the cloud server can illegally infer the relevance between data files by going through the keyword index and user's trapdoor, and the other is that the response for the user's request is delayed because the cloud server has to execute complicated operations as many times as the size of the keyword index. In this paper, we propose an improved multi-keyword based search protocol which protects the privacy of outsourced data under the assumption that the cloud server is completely unreliable. And our experiments show that the proposed protocol is more secure in terms of relevance inference between the data files and has higher efficiency in terms of processing time than Zhang's one.

• Journal of KIISE
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• v.42 no.5
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• pp.591-600
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• 2015

SLA (Service Level Agreement) is an essential factor that must be guaranteed to provide a reliable and consistent service to user in cloud computing environment. Especially, a contract between user and service provider with SLA is important in an environment using a cloud service brokerage. The cloud computing is classified into IaaS, PaaS, and SaaS according to IT resources of the various cloud service. The existing SLA is difficult to reflect the quality factors of service, because it only considers factors about the physical Network environment and have no methodological approach. In this paper, we suggested a method to specify the quality characteristics of software and proposed a mechanism and structure that can exchange SLA specification between the service provider and consumer. We defined a meta-model for the SLA specification in the SaaS level, and quality requirements of the SaaS were described by the proposed specification language. Through case studies, we verified proposed specification language that can present a variety of software quality factors. By using the UDDI-based mediation process and architecture to interchange this specification, it is stored in the repository of quality specifications and exchanged during service binding time.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.9
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• pp.305-316
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• 2022

With the flood of digital data owing to the Internet of Things and big data, cloud service providers that process and store vast amount of data from multiple users can apply duplicate data elimination technique for efficient data management. The user experience can be improved as the notion of edge computing paradigm is introduced as an extension of the cloud computing to improve problems such as network congestion to a central cloud server and reduced computational efficiency. However, the addition of a new edge device that is not entirely reliable in the edge computing may cause increase in the computational complexity for additional cryptographic operations to preserve data privacy in duplicate identification and elimination process. In this paper, we propose an efficiency-improved duplicate data elimination protocol while preserving data privacy with an optimized user-edge-cloud communication framework by utilizing a trusted execution environment. Direct sharing of secret information between the user and the central cloud server can minimize the computational complexity in edge devices and enables the use of efficient encryption algorithms at the side of cloud service providers. Users also improve the user experience by offloading data to edge devices, enabling duplicate elimination and independent activity. Through experiments, efficiency of the proposed scheme has been analyzed such as up to 78x improvements in computation during data outsourcing process compared to the previous study which does not exploit trusted execution environment in edge computing architecture.

• Journal of the Korea Society of Computer and Information
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• v.18 no.7
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• pp.11-21
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• 2013

Recently operating a large scale computing resource like a data center becomes easier because of the virtualization technology that virtualize servers and enable flexible resource provision. The most of public cloud services provides automatic scaling in the form of scale-in or scale-out and these scaling approaches works well to satisfy the service level agreement (SLA) of users. However, a novel scaling approach is required to operate private clouds that has smaller amount of computing resources than vast resources of public clouds. In this paper, we propose a hybrid server scaling architecture and related algorithms using both scale-in and scale-out to achieve higher resource utilization rate for private clouds. We uses dynamic resource allocation and live migration to run our proposed algorithm. Our propose system aims to provide a fine-grain resource scaling by steps. Thus private cloud systems are able to keep stable service and to reduce server management cost by optimizing server utilization. The experiment results show that our proposed approach performs better in resource utilization than the scale-out approach based on the number of users.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.128-130
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• 2014

클라우드 기술의 발전과 더불어 다가올 데이터 경제 시대에 글로벌 비즈니스 지형을 뒤바꿀 기술 핵심인 빅데이터에 대한 관심이 급증하고 있으나 그 특성상 고비용의 처리 시스템을 요구하며 기업 솔루션 위주로 기술 연구가 진행되고 있다. 따라서 본 논문에서는 광대역 네트워크와 클라우드 컴퓨팅을 활용하여 저사양 단말 및 저품질 네트워크에서도 개인에게 빅데이터 서비스를 제공할 수 있도록 하는 시스템 구조를 제안하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.353-357
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• 2010

많은 연구로부터 다양한 온톨로지들이 구축되었다. 온톨로지가 표현하는 영역이 점차 넓어짐에 따라 온톨로지의 크기가 증가하였으나 이를 위한 효율적인 저장방법은 연구되지 않았다. 또한 다양한 온톨로지의 사용방법 중 서술 논리를 사용한 추론은 온톨로지의 크기가 작아도 연산이 매우 많이 필요하여 실제로 사용하기가 매우 어렵다. 본 논문에서는 점차 커지는 온톨로지를 효과적으로 저장하기 위하여 온톨로지를 컴퓨터 클라우드에 저장하는 방법과 컴퓨터 클라우드에 저장된 온톨로지를 추론하기 위한 프레임워크를 제안한다. 그리고 실험을 통하여 제안한 방법이 기존의 방법에 비하여 효율적임을 보였다.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.25-43
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• 2013

Two of the most important changes in the global market can be represented with Hyper-connection and Glocalization. To cope with these changes and secure the competitive advantages, it is essential to develop the standard organization, policy, processes and criteria for service management. In addition, the service management system is required to effectively support the R&D project management. In this research, an adaptive framework and system architecture for designing R&D project management process using cloud computing has been introduced. With the proposed system, it is able to overcome the limitations of traditional service management and treat the demand from the market in agility. Moreover, it may be possible to present more value than customers want and secure the competitive advantages in the global market with the proposed system.