• 정보화연구
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• 제10권4호
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• pp.509-516
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• 2013

클라우드 서비스는 낮은 비용과 높은 효율성으로 빠르게 변화하는 스마트사회에서 필수적인 IT인프라로 인식되고 있다. 구글, 아마존 등 해외 유수 기업에서 시작된 클라우드 서비스는 미국과 영국등 외국 정부의 클라우드 서비스 도입 정책에 다양한 영향을 끼쳤다. 특히, 이들 국가들은 정보자원의 효율적 관리를 위해서 클라우드 컴퓨팅의 도입과 아울러 기존 공공서비스의 클라우드 서비스로의 전환을 가속화하고 있다. 본 연구에서는 공공부문에서의 클라우드 서비스 도입을 위한 외국 정부의 다양한 사례 분석을 토대로 공공부문에서의 클라우드 도입시 주요 결정요인을 제시하고 공공부문에서 클라우드 도입 및 활용을 위한 클라우드 서비스 큐브 모델을 제안하였다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(B)
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• pp.17-20
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• 2011

This paper presents an approach for integrating u-Life care applications into the Cloud computing based on virtual resources to support real-time services and to improve quality of service (QoS) requirement. We propose an architecture for virtualization resources scheduling. The proposed is based on the concepts of Cloud computing and Wireless sensor networks. In this paper, we focus on the scheduling u-Life care applications run on the virtual machine (VM) resources in Cloud computing.

• 융합정보논문지
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• 제9권9호
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• pp.27-32
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• 2019

유비쿼터스-헬스케어의 발전과 함께 사이버 공격에 대처하기 위한 개인의료정보 처리를 위한 CloudHIS의 망 분리를 기반으로 한 보안 강화를 제안한다. 모든 보안 위협으로부터 보호하고 명확한 데이터 보안 정책을 수립하기 위해 CloudHIS용 데스크톱 컴퓨팅 서버를 클라우드 컴퓨팅 서비스에 적용한다. 하이퍼 바이저 아키텍처를 갖춘 두 대의 PC를 사용하여 물리적 망분리를 적용하고 KVM 스위치를 사용하여 네트워크를 선택할 수 있다. 다른 하나는 두 개의 OS가 있는 하나의 PC를 사용하는 논리적 망분리이지만 네트워크는 가상화를 통해 분할된다. 물리적 망 분리는 인터넷과 업무망 모두에서 액세스 경로를 차단하기 위해 각 네트워크에 대한 PC의 물리적 연결이다. 제안된 시스템은 사용자의 실제 데스크톱 컴퓨터에서 서버 가상화 기술을 통해 인트라넷 또는 인터넷에 액세스하는 데 사용되는 독립적인 데스크톱이다. 보안 강화를 처리하기 위해 네트워크 분리를 통해 의료병원 정보를 처리하는 클라우드 시스템인 CloudHIS를 구성하여 해킹을 방지하는 적응형 솔루션을 구현할 수 있다.

• Journal of Information Processing Systems
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• 제20권3호
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• pp.375-390
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• 2024

Edge computing architecture has effectively alleviated the computing pressure on cloud platforms, reduced network bandwidth consumption, and improved the quality of service for user experience; however, it has also introduced new security issues. Existing anomaly detection methods in big data scenarios with cloud-edge computing collaboration face several challenges, such as sample imbalance, difficulty in dealing with complex network traffic attacks, and difficulty in effectively training large-scale data or overly complex deep-learning network models. A lightweight deep-learning model was proposed to address these challenges. First, normalization on the user side was used to preprocess the traffic data. On the edge side, a trained Wasserstein generative adversarial network (WGAN) was used to supplement the data samples, which effectively alleviates the imbalance issue of a few types of samples while occupying a small amount of edge-computing resources. Finally, a trained lightweight deep learning network model is deployed on the edge side, and the preprocessed and expanded local data are used to fine-tune the trained model. This ensures that the data of each edge node are more consistent with the local characteristics, effectively improving the system's detection ability. In the designed lightweight deep learning network model, two sets of convolutional pooling layers of convolutional neural networks (CNN) were used to extract spatial features. The bidirectional long short-term memory network (BiLSTM) was used to collect time sequence features, and the weight of traffic features was adjusted through the attention mechanism, improving the model's ability to identify abnormal traffic features. The proposed model was experimentally demonstrated using the NSL-KDD, UNSW-NB15, and CIC-ISD2018 datasets. The accuracies of the proposed model on the three datasets were as high as 0.974, 0.925, and 0.953, respectively, showing superior accuracy to other comparative models. The proposed lightweight deep learning network model has good application prospects for anomaly traffic detection in cloud-edge collaborative computing architectures.

• 디지털콘텐츠학회 논문지
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• 제19권4호
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• pp.809-814
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• 2018

클라우드 컴퓨팅 기반 인프라가 확산됨에 따라, 서비스 프로바이더는 온-디맨드 방식의 서비스 배포가 가능해졌다. 최근 클라우드형 인프라의 자원 확장성 효율을 극대화하기 위해 마이크로 서비스 구조가 주목받고 있다. 모든 서비스 기능을 하나의 소프트웨어로 구현하는 대신 필요한 서비스를 효율적으로 설계된 Application Programming Interface (API)를 통해 연동함으로써 쉽고 자율적으로 구현할 수 있고, 기능의 요구사항에 맞는 프로그래밍 언어, 소프트웨어, 기능구조를 자유로이 정할 수 있다. 본 논문에서는 마이크로 서비스 구조를 기반으로 가상 인프라 매니저 서비스를 설계하고 제안된 구조가 부하에 따라 효율적으로 스케일링이 가능함을 실험을 통해 검증한다.

• 한국멀티미디어학회논문지
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• 제23권2호
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• pp.328-342
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• 2020

As the cloud-based ICT(Information & Communication Technology) infrastructure matures, the existing monolithic software development method is evolving into a micro-service structure based on cloud native computing. To develop and operate the services efficiently under the cloud native environment, DevOps-based application development plans through MSA(Micro Service Architecture) design based are essential. A cloud native environment is an approach to developing and running applications that take advantage of cloud computing models such as automation of source distribution, container-based virtualization, application scalability, resource efficiency, and flexible maintenance through object independence. To implement this approach, the utilization of key elements such as DevOps, continuous delivery, micro service, and containers is essential, but there are not enough previous studies on case analyses or application methods of these key elements. Therefore, in this paper, we analyze the cases of application development in cloud native environment and propose the optimized application development process and development method through small and medium-sized SI projects.

• 대한원격탐사학회지
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• 제31권1호
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• pp.1-9
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• 2015

Mobility and cloud platform have become the dominant paradigm to develop web services dealing with huge and diverse digital contents for scientific solution or engineering application. These two trends are technically combined into mobile cloud computing environment taking beneficial points from each. The intention of this study is to design and implement a mobile cloud application for remotely sensed image fusion for the further practical geo-based mobile services. In this implementation, the system architecture consists of two parts: mobile web client and cloud application server. Mobile web client is for user interface regarding image fusion application processing and image visualization and for mobile web service of data listing and browsing. Cloud application server works on OpenStack, open source cloud platform. In this part, three server instances are generated as web server instance, tiling server instance, and fusion server instance. With metadata browsing of the processing data, image fusion by Bayesian approach is performed using functions within Orfeo Toolbox (OTB), open source remote sensing library. In addition, similarity of fused images with respect to input image set is estimated by histogram distance metrics. This result can be used as the reference criterion for user parameter choice on Bayesian image fusion. It is thought that the implementation strategy for mobile cloud application based on full open sources provides good points for a mobile service supporting specific remote sensing functions, besides image fusion schemes, by user demands to expand remote sensing application fields.

• 한국인터넷방송통신학회논문지
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• 제22권3호
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• pp.83-91
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• 2022

본 논문은 영역 별로 부하가 관리되는 MMOG를 위해서 확장가능한 하이브리드 P2P 클라우드 구조를 제시한다. 게임 세계는 여러 게임 영역으로 분할되며 각 게임 영역은 이러한 MMOG 클라우드 환경에서 최소 한 개 이상의 피어 즉 플레이어에 의해 서비스된다. 특정 영역에 플레이어들의 수가 급증한 경우에도 그들의 상호 작용이 원활하게 지원되도록 부하는 영역별로 관리되어야 한다. 제시된 구조에서 자원 공급이 효율적으로 실현되며 플레이어들은 클라우드 서버와 효과적으로 상호 작용할 수 있고 기존의 클라이언트 서버 MMOG 구조에서의 병목 현상을 회피할 수 있다. 이 구조는 플레이어들의 처리 능력을 활용함으로써 클라우드에 있는 서버의 부하 즉 컴퓨팅 능력과 통신량을 절감하게 된다. 시뮬레이션 결과 제시된 하이브리드 P2P 클라우드 구조는 혼잡 지역 또는 핫스팟에서 플레이어들의 수에 따라 이용가능한 자원도 같이 증가됨에 따라 클라이언트 서버 구조에 비하여 서버의 통신 대역폭을 상당부분 감소시킬 수 있는 것으로 나타났다.

• Journal of Information Processing Systems
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• 제14권2호
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• pp.377-395
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• 2018

Aiming at the problem of service reliability in resource reservation in cloud computing environments, a model of dynamic cloud resource reservation based on trust is proposed. A domain-specific cloud management architecture is designed in which resources are divided into different management domains according to the types of service for easier management. A dynamic resource reservation mechanism (DRRM) is used to test users' reservation requests and reserve resources for users. According to user preference, several resources are chosen to be candidate resources by fuzzy cluster analysis. The fuzzy evaluation method and a two-way trust evaluation mechanism are adopted to improve the availability and credibility of the model. An analysis and simulation experiments show that this model can increase the flexibility of resource reservation and improve user satisfaction.

• International journal of advanced smart convergence
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• 제4권2호
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• pp.109-119
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• 2015

The interaction between wireless sensors such as Internet of Things (IoT) and Cloud is a new paradigm of communication virtualization to overcome resource and efficiency restriction. Cloud computing provides unlimited platform, resources, services and also covers almost every area of computing. On the other hand, Wireless Sensor Networks (WSN) has gained attention for their potential supports and attractive solutions such as IoT, environment monitoring, healthcare, military, critical infrastructure monitoring, home and industrial automation, transportation, business, etc. Besides, our virtual groups and social networks are in main role of information sharing. However, this sensor network lacks resource, storage capacity and computational power along with extensibility, fault-tolerance, reliability and openness. These data are not available to community groups or cloud environment for general purpose research or utilization yet. If we reduce the gap between real and virtual world by adding this WSN driven data to cloud environment and virtual communities, then it can gain a remarkable attention from all over, along with giving us the benefit in various sectors. We have proposed a Pub/Sub-based sensor virtualization framework Cloud environment. This integration provides resource, service, and storage with sensor driven data to the community. We have virtualized physical sensors as virtual sensors on cloud computing, while this middleware and virtual sensors are provisioned automatically to end users whenever they required. Our architecture provides service to end users without being concerned about its implementation details. Furthermore, we have proposed an efficient content-based event matching algorithm to analyze subscriptions and to publish proper contents in a cost-effective manner. We have evaluated our algorithm which shows better performance while comparing to that of previously proposed algorithms.