• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.4
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• pp.780-784
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• 2017

Data discovery and distribution application that is utilized by climate, high energy physics, and other scientific communities are experiencing performance and large scale data managing problems, that are rooted from the shortcomings of IP architecture. To solve this problem, newly developed data managing applications based on NDN architecture were introduced. In this letter, we present the federated NDN testbed with an NDN-based climate science application and the set of experiments that reflect the performance of NDN based climate application in general with determined and applied optimization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.904-913
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• 2020

As the data volumes and complexity rapidly increase, data-intensive science handling large-scale scientific data needs to investigate new techniques for intelligent storage and data distribution over networks. Recently, Named Data Networking (NDN) and data-intensive science communities have inspired innovative changes in distribution and management for large-scale experimental data. In this article, analysis on NDN testbeds for large-scale scientific data such as climate science data and High Energy Physics (HEP) data is presented. This article is the first attempt to analyze existing NDN testbeds for large-scale scientific data. NDN testbeds for large-scale scientific data are described and discussed in terms of status, NDN-based application, and features, which are NDN testbed instance for climate science, NDN testbed instance for both climate science and HEP, and the NDN testbed in SANDIE project. Finally various issues to prevent pitfalls in NDN testbed establishment for large-scale scientific data are analyzed and discussed, which are drawn from the descriptions of NDN testbeds and features on them.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.993-999
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• 2021

Recently, many studies on VNDN technology have been conducted to graft Named Data Networking (NDN) into VANET as a core network technology. VNDN can use the content name to deliver various infotainment application content data through name-based forwarding. When VNDN is used as a communication technology for infotainment applications in connected vehicles, it is possible to realize data-centric networking technology in which data is the subject of communication. It can overcome the limitations of connected vehicle infotainment application service technology based on the host-centric current Internet, such as security attack/hacking, performance degradation in long-distance data transmission, frequent data cut-off. In this paper, we present the main functions provided by VNDN technology, and systematically analyze and organize the issues necessary to realize infotainment application services for connected vehicles in the VNDN environment. Based on this, it can be utilized as basic information necessary to establish infotainment application requirements in VNDN environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.280-285
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• 2021

When VNDN technology is used as a communication technology for infotainment application services of connected vehicles, it is possible to realize data-centric networking technology in which data is the subject of communication.Vehicle security attacks and hacks, performance degradation during long-distance data transmission, and frequent data loss It is possible to innovate the limitations of the current host-oriented Internet-based infotainment application service technology of connected vehicles. The data packet forwarding issue to deliver critical information data that is very sensitive to delay in the VNDN on a push-based basis to RSU (Road Side Unit), etc. is one of the issues to be solved for realizing VNDN-based application services. We comprehensively analyze existing forwarding techniques to support push-based data traffic under the environment, and compare and analyze each technique in terms of performance.