• KIPS Transactions on Computer and Communication Systems
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• v.4 no.9
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• pp.315-320
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• 2015

In cloud computing, server virtualization supports one or more virtual machines loaded on multiple operating systems on a single physical host server. Migration of a VM is moving the VM running on a source host to another physical machine called target host. A VM live migration is essential to support task performance optimization, energy efficiency and energy saving, fault tolerance and load balancing. In this paper, we propose open source based adaptive VM live migration technique. For this, we design VM monitoring module to decide VM live migration and open source based full-virtualization hypervisor.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.101-110
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• 2007

Current strategic trends in service distribution and software development in response to Web as a platform represent a paradoxical concurrent pursuit of 'economy of scale' and 'service'. From the software perspective, the major novel elements of the Web 2.0 era are Web as a platform and the emergence of long-tail service enabling web sites to function as an independent distribution channel. The current study analyzed the platform strategy for establishing a community of interactive developer and customers taking the issue of economy of scale into consideration. Software industry should face the new reality and utilize the open source community for cost minimization and securing customer base. Furthermore, Lego-style software development should be adopted for maintaining cost-competitiveness in customized software development.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.46-52
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• 2017

Along with the expansion of areas in which ICT and Internet of Things (IoT) devices are utilized, open source software has recently expanded its scope of applications to include computers, smart phones, and IoT devices. Hence, as the scope of open source software applications has varied, there have been increasing malicious attempts to attack the weaknesses of open source software. In order to address this issue, various secure coding programs have been developed. Nevertheless, numerous vulnerabilities are still left unhandled. This paper provides some methods to handle newly raised weaknesses based on the analysis of histories and patterns of previous open source vulnerabilities. Through this study, we have designed a weaknesses analysis system that utilizes weakness histories and pattern learning, and we tested the performance of the system by implementing a prototype model. For five vulnerability categories, the average vulnerability detection time was shortened by about 1.61 sec, and the average detection accuracy was improved by 44%. This paper can provide help for researchers studying the areas of weaknesses analysis and for developers utilizing secure coding for weaknesses analysis.

• Smart Media Journal
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• v.7 no.4
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• pp.70-78
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• 2018

Current trends in information system have led many companies to adopt security solutions. However, even with a large budget, they cannot function properly without proper security monitoring that manages them. Security monitoring necessitates a quick response in the event of a problem, and it is needed to design appropriate visualization dashboards for monitoring purposes so that necessary information can be delivered quickly. This paper shows how to visualize a security log using the open source program Elastic Stack and demonstrates that the proposed method is suitable for network security monitoring by implementing it as a appropriate dashboard for monitoring purposes. We confirmed that the dashboard was effectively exploited for the analysis of abnormal traffic growth and attack paths.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.72-81
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• 2014

As big data are one of main issues in the recent days, the interests on their technologies are also increasing. Among several technological bases, this study focuses on data visualization and R based on open source. In general, the term of data visualization can be summarized as the web technologies for constructing, manipulating and displaying various types of graphic objects in the interactive mode. R is an operating environment or a language for statistical data analysis from basic to advanced level. In this study, a web application with these technological aspects and components is newly implemented and exemplified with data visualization for geo-based open data provided by public organizations or government agencies. This application model does not need users' data building or proprietary software installation. Futhermore it is designed for users in the geo-spatial application field with less experiences and little knowledges about R. The results of data visualization by this application can support decision making process of web users accessible to this service. It is expected that the more practical and various applications with R-based geo-statistical analysis functions and complex operations linked to big data contribute to expanding the scope and the range of the geo-spatial application.

• Tunnel and Underground Space
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• v.30 no.6
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• pp.509-518
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• 2020

This study constructed a new simulation platform, including mesh generation process, numerical simulation, and post-processing for results analysis based on exploration data to perform real-scale numerical analysis considering the actual geological structure efficiently. To build the simulation platform, we applied for open-source programs. The source code is open to be available for code modification according to the researcher's needs and compatibility with various numerical simulation programs. First, a three-dimensional model(3D) is acquired based on the exploration data obtained using a drone. Then, the domain's mesh density was adjusted to an interpretable level using Blender, the free and open-source 3D creation suite. The next step is to create a 3D numerical model by creating a tetrahedral volume mesh inside the domain using Gmsh, a finite element mesh generation program. To use the mesh information obtained through Gmsh in a numerical simulation program, a converting process to conform to the program's mesh creation protocol is required. We applied a Python code for the procedure. After we completed the stability analysis, we have created various visualization of the study using ParaView, another open-source visualization and data analysis program. We successfully performed a preliminary stability analysis on the full-scale Dokdo model based on drone-acquired data to confirm the usefulness of the proposed platform. The proposed simulation platform in this study can be of various analysis processes in future research.

• Smart Media Journal
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• v.10 no.2
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• pp.110-118
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• 2021

The Internet of Things (IoT) technology, a key growth engine of the 4th industrial revolution, has grown to a stage where it can autonomously communicate with each other and process data according to space and circumstances. Accordingly, the IT infrastructure becomes increasingly complex and the importance of the monitoring field for maintaining the system stably is increasing. Monitoring technology has been used in the past, but there is a need to find a flexible monitoring system that can respond to the rapidly changing ICT technology. This paper conducts research on designing and testing an open source-based Prometheus monitoring system. We builds a simple infrastructure based on IoT devices and collects data about devices through the Exporter. Prometheus collects data based on pull and then integrates into one dashboard using Grafana and visualizes data to monitor device information.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.131-134
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• 2020

스마트시티로 가는 첫걸음이자 핵심이라 할 수 있는 IoT 기술이 우리의 삶을 변화시키고 있다. 원격에서 집 내부의 상태를 확인하며 조정할 수 있고, 집 내부의 상황도 영상을 통해 확인할 수 있게 되었다. 이처럼 IoT 기술은 우리 삶의 편리함을 제공하고 중요한 요소가 되었지만, IoT 환경 관리의 주체가 사용자 개인이거나 IoT 환경상태를 모니터링하며 관리할 수 있는 수단이 없어 관리가 되지 않고 있고 공격을 받아도 사용자가 알 수 없다는 특성 때문에 IoT 보안에 있어 심각한 문제를 일으킬 수 있다. 이러한 문제에도 불구하고 IoT 보안에 대한 인식과 IoT 환경에 특화된 관리 시스템은 갖춰지지 않고 있다. 본 논문에서는 오픈 소스 데이터 분석 및 시각화 솔루션인 Elastic Stack을 활용하여 손쉽게 IoT 환경을 관리하고 상태를 시각화하여 제공하는 IoT 환경 관리 시스템을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.382-384
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• 2012

클라우드 컴퓨팅 기술의 발전과 함께 많은 기업들이 관련 기술 연구를 통해 여러 플랫폼들을 제안하고 있다. 이러한 상황은 클라우드 컴퓨팅 플랫폼 발전에 도움이 되지만, 통합되지 않은 다수의 플랫폼으로 인한 문제점도 존재한다. 왜냐하면 클라우드 컴퓨팅 환경에 대해 처음 접하는 사용자의 경우, 플랫폼 선택시 합리적인 선택을 하기 어렵기 때문이다. 따라서 본 논문에서는 가장 많은 업체들이 제공하고 있는 오픈소스 기반의 플랫폼인 OpenStack, Eucalyptus, CloudStack, OpenNebula를 비교 및 분석한다. 분석 결과에서 알 수 있듯이, 각 플랫폼은 지원 가상화 기술, 스케줄링 기법, 배치 기법, 호환성 등 여러 가지 특성들 차이로 인한 장단점이 존재한다. 분석 결과를 바탕으로, 사용자들은 플랫폼들의 특성을 파악해 상황에 맞는 플랫폼을 합리적으로 선택할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.548-551
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• 2016

기존 그리드 기반의 전통적인 RDBMS는 비구조적 데이터에 대한 색인이 지원되지 않았다. 이러한 제약 조건들로 인해 파일 문서 및 비 구조화된 데이터의 검색 엔진으로는 부적합하였다. 최근에 다양한 검색 오픈소스(Solr, Lucene)등으로 검색 엔진이 개발되어 활용되고 있지만, 검색한 결과와 기존 데이터의 연동이 쉽지 않고 구조 변경이 어려우며, 사용자의 다양한 요구 사항 수용이 쉽지 않은 단점을 가지고 있다. 따라서 본 연구에서는 빠른 검색을 위한 색인 (index) 최적화와 대용량 데이터 처리를 위한 파티션 기반 데이터의 분할 및 정복 (divide and conquer) 처리, 이중화된 검색어 색인 기능을 구현하였다. 또한 동의어 사전을 구축하여 연관 관계 분석이 가능하도록 DB를 구축하여 검색어와 동의어의 상호 관계성을 유지하였으며 오픈 소스보다 발전한 형태의 검색 엔진을 개발하는 것을 목표로 하였다. 본 연구를 위해 약 400만건 이상의 다양한 포맷 (Ms-office, Hwp, Pdf, Text)등의 파일 문서를 샘플로 실험을 진행하였다.