• Electronics and Telecommunications Trends
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• v.30 no.2
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• pp.95-103
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• 2015

오픈스택(OpenStack)을 이용한 클라우드 서비스가 점차 확산되어가면서 수많은 가상 자원들을 생성하고 생성된 가상 자원들의 라이프사이클을 관리하는 오케스트레이션 기능의 중요성이 강조되고 있다. 본고에서는 오픈스택 진영에서 템플릿 기반의 오케스트레이션 서비스를 담당하고 있는 Heat의 기본구조와 함께 Heat에서 정의하고 있는 HOT(Heat Orchestration Template) 템플릿의 구성 요소와 주요 특징을 정리하고 템플릿 간에 참조 관계를 설명하는 Nested Stack 개념을 소개한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.167-169
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• 2015

기존 그리드 및 클러스터 환경과 달리 클라우드 컴퓨팅 환경에서는 하나의 물리 호스트 위에 다수의 가상 머신 인스턴스가 할당 및 운용됨에 따라 가상 머신 간섭 (Virtual Machine Interference)에 의한 응용 처리 성능 저하가 발생한다. 본 논문에서는 클라우드 오픈소스 플랫폼인 오픈스택 (OpenStack)을 기반으로 하여 가상 머신 인스턴스 위에서 Montage 워크플로우 응용을 처리할 때 가상 머신 간섭이 처리 성능에 미치는 정도를 분석하고 이를 해결하기 위한 자원 할당 정책을 논의한다.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.29-37
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• 2017

Compared to the commercial networks, R&E networks have the strength such as flexible network engineering and design. Based on those features of R&E networks, we propose our storage cloud service model which supports general-purpose network users in a central region and experimental network users in distributed regions simultaneously. We prototype our service model utilizing multiple proxy controllers of OpenStack Swift service in order to deploy several regions via experimental backbone networks. Our experiments on the influence of the network latency and the size of data to be transmitted show that the bigger size of data is preferable to the smaller size of data in an experimental backbone network where the network latency increases within 10ms because the rate of throughput decline in the bigger object is comparatively small. It means that our service model is appropriate for experimental network users who directly access the service in order to move intermittently high volume of data as well as normal users in the central region who access the service frequently.

• 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.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.9
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• pp.297-306
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• 2015

Cloud computing has been increasingly used in various fields due to its flexibility, scalability, cost effectiveness, etc. Recently, many scientific communities have been attempting to use cloud computing as a way to deal with difficulties in constructing and operating a research infrastructure. Especially, since they need various collaborations based on networking, such as sharing experimental data, redistributing experimental results, and so forth, cloud computing environment that supports high performance networking is required for scientific communities. To address these issues, we propose RealLab, a high performance cloud platform for collaborative research that provides virtual experimental research environment and data sharing infrastructure over KREONET/GLORIAD. Additionally, we describe some RealLab use cases for showing the swift creation of experimental environment and explain how massive experimental data can be transferred and shared among the community members.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.12
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• pp.152-158
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• 2016

In this paper, we implemented the full stack platform design with MongoDB database of open source platform Raspberry PI 3 model. We experimented the triggering of event driven with acceleration sensor data logging with wireless communication. we captured the image of USB Camera(MS LifeCam cinema) with 28 frames per second under the Linux version of Raspbian Jessie and extended the functionality of wireless communication function with Bluetooth technology for the purpose of making Android Mobile devices interface. And therefore we implemented the functions of the full stack platform for recognizing the event triggering characteristics of detecting the acceleration sensor action and gathering the temperature and humidity sensor data under IoT environment. Especially we used MEAN Stack for developing the performance of full stack platform because the MEAN Stack is more akin to working with MongoDB than what we know of as a database. Afterwards, we would enhance the performance of full stack platform for IoT clouding functionalities and more feasible web design with MongoDB.

• Korean Journal of Remote Sensing
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• v.31 no.6
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• pp.561-570
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• 2015

Till now, applications of many kinds of satellite images have been accentuated in the datacentric scientific studies, researches regarding system development and concerned technologies for them are on the un-matured stage. Especially, satellite image processing requires large volume data handling and specific analysis functionalities, so that practical necessity of base study for system development is emphasized on. In the view of information system, various edged trends such as web standards, cloud computing, or web framework are utilized owing to their application benefits proven and business needs. Considered these aspects, a testing implementation was carried out using OpenStack cloud computing environment and e-government framework. As for the processing functions, WPS in GeoServer, as one of OGC web standards, was applied to perform interoperable data processing scheme between two or more remote servers. Working with the server implemented, client-side was also developed using several open sources such as HTML 5, jQuery, and OpenLayers. If it is that completed further experiments onsite applications with actual multi-data sets and extension of on-demand functionalities with the result of this study, it will be referred as an example case model for complicated and complex system design and implementation which needs cloud computing, geo-spatial web standards and web framework.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.11-20
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• 2017

Recently, developments in the various fields of cloud computing technology has been utilized. Whereas the demand for cloud computing services is increasing, security threats are also increasing in the cloud computing environments. Especially, in case when the hosts interconnected in the cloud environments are infected and propagated through the attacks by malware. It can have an effect on the resource of other hosts and other security threats such as personal information can be spreaded and data deletion. Therefore, the study of malware analysis to respond these security threats has been proceeded actively. This paper proposes a type of attack clustering method of Zeus botnet using the k-means clustering algorithm for malware analysis that occurs in the cloud environments. By clustering the malicious activity by a type of the Zeus botnet occurred in the cloud environments. it is possible to determine whether it is a malware or not. In the future, it sets a goal of responding to an attack of the new type of Zeus botnet that may occur in the cloud environments.

• Korean Journal of Remote Sensing
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• v.32 no.6
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• pp.617-627
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• 2016

Many kinds of OGC-based web standards have been utilized in the lots of geo-spatial application fields for sharing and interoperable processing of large volume of data sets containing satellite images. As well, the number of cloud-based application services by on-demand processing of virtual machines is increasing. However, remote sensing applications using these two huge trends are globally on the initial stage. This study presents a practical linkage case with both aspects of OGC-based standard and cloud computing. Performance test is performed with the implementation result for cloud detection processing. Test objects are WPS 2.0 and two types of geo-based service environment such as web server in a single core and multiple virtual servers implemented on OpenStack cloud computing environment. Performance test unit by JMeter is five requests of GetCapabilities, DescribeProcess, Execute, GetStatus, GetResult in WPS 2.0. As the results, the performance measurement time in a cloud-based environment is faster than that of single server. It is expected that expansion of processing algorithms by WPS 2.0 and virtual processing is possible to target-oriented applications in the practical level.

• Journal of Digital Contents Society
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• v.15 no.3
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• pp.395-403
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• 2014

Recently webhard services in various applications have been notably increased. In order to adopt some webhard functions into the existing application platform, however, a lot of manpower and cost is necessary. In this paper, we propose webhard API based on cloud storage for building and extending the webhard functions. The proposed system consists of three layers: application, web-hard server, and storage server in which each layer provides its API independently. It is enable the developer to easily extend the webhard functions to the application by using only HTTP request, which provides no limitation of the programming language. Because our webhard API is running on the virtualized cloud storage, it is possible to easily extend the storages and to reduce the maintenance cost. In this paper, we implement all the webhard API and then show the result of adopting the API to a prototype groupware system.