• Title/Summary/Keyword: 오픈스택

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Analysis and New Proposal of User Agent codes of VOVIDA SIP for Virata Evaluation Board (Virata 평가보드 장착용 VOVIDA SIP UA 코드 분석 및 제안)

  • 최숙영;박석영;문승진
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10e
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    • pp.436-438
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    • 2002
  • VoIP기술은 기존의 음성서비스를 인터넷을 통하여 제공하고자 하는 기술로 기본적인 인터넷 전화 서비스에서부터 화상회의, 원격교육, 인터넷 콜 센터 등 최근 다양한 응용분야로 그 기술이 확대되어 가고 있다. 본 논문에서는 이러한 VoIP 기술의 적용을 위해 현재MGCP를 사용하고 있는 Virata 평가보드를 SIP UA(User Agent)로 사용하여 간단한 인터넷 전화를 구현하는데 필요한 SIP 스택분석 및 효과적인 활용방안에 관해 논하였다. 이를 위해 VOVIDA사의 VOCAL(Vovida Open Communication Application Library) 오픈 프로젝트 중 SIP UA 부분을 분석하였으며, 이를 기반으로 분석된 소스를 평가보드에 효과적으로 탑재하고 활용하는 방안을 제안하였다

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An Implementation and Analysis of FPMIPv6 Test Bed Using OAI PMIPv6 (OAI PMIPv6를 이용한 FPMIPv6 테스트베드의 구현 및 분석)

  • Do, Misol;Anh, Khuong Quoc;Park, Changyong;Shon, Minhan;Choo, Hyunseung
    • Annual Conference of KIPS
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    • 2012.11a
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    • pp.718-721
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    • 2012
  • PMIPv6 (Proxy Mobile IPv6)는 네트워크 기반 이동성 지원 프로토콜로 MN (Mobile Node)의 이동성 프로토콜 스택 유무와 관계없이 MN의 이동성을 지원한다. 하지만 핸드오버 과정에서 이동성 관련 시그널링을 완료할 때까지 지연이 발생하고 핸드오버 동안 MN으로 향하는 패킷이 손실된다는 단점을 갖고 있다. 이러한 단점을 보완하기 위한 기법으로 FPMIPv6 (Fast Handover for PMIPv6)가 제안되었다. 본 논문에서는 PMIPv6의 오픈소스인 OAI PMIPv6 (OpenAirInterface PMIPv6)를 기반으로 FPMIPv6 테스트베드를 구축하고 MN의 핸드오버를 실험하여 실제 FPMIPv6 환경에서의 핸드오버 지연 및 패킷 손실 정도를 측정한다.

WPS-based Satellite Image Processing onWeb Framework and Cloud Computing Environment (클라우드 컴퓨팅과 웹 프레임워크 환경에서 WPS 기반 위성영상 정보처리)

  • Yoon, Gooseon;Lee, Kiwon
    • 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.

Design and Prototyping of Scientific Collaboration Platform over KREONET (KREONET 기반의 과학기술협업연구 플랫폼(RealLab) 설계 및 프로토타입 구축)

  • Kwon, Yoonjoo;Hong, Wontaek
    • 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.

Design and Implementation of Scalable Webhard API Based on Storage Virtualization for Groupware Systems (그룹웨어 시스템을 위한 확장성 있는 가상화 스토리지 기반 웹하드 API의 설계 및 구현)

  • Kang, Seonho;Choi, Hwangkyu
    • 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.

Supply chain attack detection technology using ELK stack and Sysmon (ELK 스택과 Sysmon을 활용한 공급망 공격 탐지 기법)

  • hyun-chang Shin;myung-ho Oh;seung-jun Gong;jong-min Kim
    • Convergence Security Journal
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    • v.22 no.3
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    • pp.13-18
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    • 2022
  • With the rapid development of IT technology, integration with existing industries has led to an increase in smart manufacturing that simplifies processes and increases productivity based on 4th industrial revolution technology. Security threats are also increasing and there are. In the case of supply chain attacks, it is difficult to detect them in advance and the scale of the damage is extremely large, so they have emerged as next-generation security threats, and research into detection technology is necessary. Therefore, in this paper, we collect, store, analyze, and visualize logs in multiple environments in real time using ELK Stack and Sysmon, which are open source-based analysis solutions, to derive information such as abnormal behavior related to supply chain attacks, and efficiently We try to provide an effective detection method.

Performance Testing of Satellite Image Processing based on OGC WPS 2.0 in the OpenStack Cloud Environment (오픈스택 클라우드 환경 OGC WPS 2.0 기반 위성영상처리 성능측정 시험)

  • Yoon, Gooseon;Kim, Kwangseob;Lee, Kiwon
    • 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.

A Study on the Clustering method for Analysis of Zeus Botnet Attack Types in the Cloud Environment (클라우드 환경에서 제우스 Botnet 공격 유형 분석을 위한 클러스터링 방안 연구)

  • Bae, Won-il;Choi, Suk-June;Kim, Seong-Jin;Kim, Hyeong-Cheon;Kwak, Jin
    • 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.

Design of Cloud-Based Data Analysis System for Culture Medium Management in Smart Greenhouses (스마트온실 배양액 관리를 위한 클라우드 기반 데이터 분석시스템 설계)

  • Heo, Jeong-Wook;Park, Kyeong-Hun;Lee, Jae-Su;Hong, Seung-Gil;Lee, Gong-In;Baek, Jeong-Hyun
    • Korean Journal of Environmental Agriculture
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    • v.37 no.4
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    • pp.251-259
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    • 2018
  • BACKGROUND: Various culture media have been used for hydroponic cultures of horticultural plants under the smart greenhouses with natural and artificial light types. Management of the culture medium for the control of medium amounts and/or necessary components absorbed by plants during the cultivation period is performed with ICT (Information and Communication Technology) and/or IoT (Internet of Things) in a smart farm system. This study was conducted to develop the cloud-based data analysis system for effective management of culture medium applying to hydroponic culture and plant growth in smart greenhouses. METHODS AND RESULTS: Conventional inorganic Yamazaki and organic media derived from agricultural byproducts such as a immature fruit, leaf, or stem were used for hydroponic culture media. Component changes of the solutions according to the growth stage were monitored and plant growth was observed. Red and green lettuce seedlings (Lactuca sativa L.) which developed 2~3 true leaves were considered as plant materials. The seedlings were hydroponically grown in the smart greenhouse with fluorescent and light-emitting diodes (LEDs) lights of $150{\mu}mol/m^2/s$ light intensity for 35 days. Growth data of the seedlings were classified and stored to develop the relational database in the virtual machine which was generated from an open stack cloud system on the base of growth parameter. Relation of the plant growth and nutrient absorption pattern of 9 inorganic components inside the media during the cultivation period was investigated. The stored data associated with component changes and growth parameters were visualized on the web through the web framework and Node JS. CONCLUSION: Time-series changes of inorganic components in the culture media were observed. The increases of the unfolded leaves or fresh weight of the seedlings were mainly dependent on the macroelements such as a $NO_3-N$, and affected by the different inorganic and organic media. Though the data analysis system was developed, actual measurement data were offered by using the user smart device, and analysis and comparison of the data were visualized graphically in time series based on the cloud database. Agricultural management in data visualization and/or plant growth can be implemented by the data analysis system under whole agricultural sites regardless of various culture environmental changes.