• Smart Media Journal
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• v.6 no.1
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• pp.9-15
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• 2017

The trends in ICT are concentrated in IoT, Bigdata, and Cloud Computing. These mega-trends do not operate independently, and mass storage technology is essential as large computing technology is needed in the background to support them. In order to evaluate the performance of high-capacity storage based on open source Ceph, we carry out the demonstration test of Abyss Storage with domestic and overseas sites using educational network KOREN. In addition, storage media and network bonding are tested to evaluate the performance of the storage itself. Although there is a substantial difference in aspect of the physical speed among storage medias, there is no significant performance difference in the storage media test performed. As a solution to this problem, we could get performance improvement through network acceleration. In addition, we conducted actual performance test of Abyss Storage internal and external network by connecting domestic and overseas sites using KOREN network.

• Electronics and Telecommunications Trends
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• v.26 no.6
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• pp.164-173
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• 2011

혁신적인 아키텍처와 서비스를 검증하기 위해 대규모의 실험 설비를 갖춘 미래인터넷 테스트베드가 요구되고 있으며 이러한 연구의 일환으로, FiRST 프로젝트에서는 엄격한 자원 격리를 지원하는 네트워크 가상화 기술과 사용자가 원하는 네트워크를 쉽게 구성하도록 하는 네트워크 프로그램화 기술을 개발하고 있다. 한편, 미래인터넷 생태계 조성을 통한 국가기술 경쟁력 확보 차원에서 KOREN 기반 미래인터넷 테스트베드 구축 사업을 진행하고 있다. 이에 따라, 본 고에서는 KOREN 연구개발망에서 FiRST 프로젝트의 중간 결과물인 FiRST 플랫폼의 구축 과정을 기술하고자 한다.

• Journal of KIISE:Information Networking
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• v.41 no.4
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• pp.167-176
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• 2014

In this paper, we discuss the implementation and experimentations of a new future Internet architecture for mobile-oriented environments, named Mobile Oriented Future Internet (MOFI). The MOFI architecture is featured by the host identifier and local locator for identifier-locator separation, Query-First Data Delivery (QFDD), and Distributed Mapping System (DMS) for identifier-locator mapping control. In the existing study on MOFI, we examined the intra-domain mobility control, the implementation of MOFI over Linux platform, and the performance analysis over the small-scale testbed. In this paper, we describe how to implement the MOFI architecture for inter-domain mobility control by using the OpenFlow and Click Modular Router platform. From the experimentations over the KOREN testbed, we can see that the MOFI scheme can give better performance than the existing Proxy Mobile IP scheme.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06d
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• pp.259-260
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• 2011

기존의 인터넷 환경은 늘어나고 있는 사용자의 요구와 더불어 트래픽폭증, 보안 등의 여러 가지 문제점들이 나타나고 있다. 세계 각국에서는 이를 해결하기 위한 다양한 프로그램을 만들고 관련된 연구개발에 힘쏟고 있다. 우리나라에서도 미래인터넷과 관련된 많은 연구개발이 진행되고 있으며 이를 실험하고 검증하기 위한 미래인터넷테스트베드 구축을 진행하고 있다. 본 논문에서는 현재 연구중인 차세대전달망 전달 장치인 패킷-광 스위치와 제어를 위한 통합제어시스템, 미래인터넷연구를 위한 프로그래머블가상라우터플랫폼을 KOREN망에 설치, 미래인터넷 시험망을 만들고 장비들을 실증하기 위한 구축 진행현황에 대하여 고찰한다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.7
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• pp.109-117
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• 2010

Building a large-scale testbed for Future Internet is very important to evaluate a new protocol and new network architecture designed by clean-slate approach. In Korea, new Future Internet testbed project, called FIRST (Future Internet Research for Sustainable Testbed), has been started since Mar. 2009 to design and test new protocols. This project is working together with ETRI and 5 universities. The FIRST@PC is to implement a virtualized hardware-accelerated PC-node by extending the functions of NetFPGA card and build a Future Internet testbed on the KOREN and KREONET for evaluating newly designed protocols and interesting applications. In this paper, we first briefly introduce FIRST@PC project and explain a 'MAC in IP Capsulator' user-space program using raw-socket in Linux to interconnect OpenFlow enabled switch sites on the KOREN and KREONET. After that, we address test results for TCP throughput performance for varying packet size. The test results show that the software based capsulator can support a reasonable bandwidth performance for most of applications.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.9-12
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• 1999

The 6Bone is an environment supporting experimentation with the IPv6 protocols and products implementing it. Several functions of IPv6 remain loosely defined or undefined but the protocols related on IPv6 are being developed continuously. It is clear that ATM(Asynchronous Transfer Mode) technology is playing a important role in the evolution of the Internet as a transmission medium. In this paper, we suggest a design plan for the 6Bone overlayed on the existing ATM network, KOREN(Korea Research and Education Network). The planed 6Bone will become a good testbed to develop new networking technology and new services related on IPv6.

• Information and Communications Magazine
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• v.20 no.10
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• pp.69-76
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• 2003

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2801-2815
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• 2022

With the advent and realization of Software Defined Network (SDN) architecture, many organizations are now shifting towards this paradigm. SDN brings more control, higher scalability, and serene elasticity. The SDN spontaneously changes the network configuration according to the dynamic network requirements inside the constrained environments. Therefore, a monitoring system that can monitor the physical and virtual entities is needed to operate this type of network technology with high efficiency and proficiency. In this manuscript, we propose a real-time monitoring system for data collection and visualization that includes the Prometheus, node exporter, and Grafana. A node exporter is configured on the physical devices to collect the physical and virtual entities resources utilization logs. A real-time Prometheus database is configured to collect and store the data from all the exporters. Furthermore, the Grafana is affixed with Prometheus to visualize the current network status and device provisioning. A monitoring system is deployed on the physical infrastructure of the KOREN topology. Data collected by the monitoring system is further pre-processed and restructured into a dataset. A monitoring system is further enhanced by including machine learning techniques applied on the formatted datasets to identify the elephant flows. Additionally, a Random Forest is trained on our generated labeled datasets, and the classification models' performance are verified using accuracy metrics.

• Information and Communications Magazine
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• v.20 no.10
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• pp.32-42
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• 2003

• Information and Communications Magazine
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• v.20 no.10
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• pp.77-84
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• 2003