2025 Korea Computer Conference (KCC) Outstanding Paper Award / Song Moo-hyun (Software Engineering, 20)
- 25.07.16 / 이정민
Song Muhyun, a student at Kookmin University (Software Engineering Department, Class of 2020), received the Outstanding Paper Award in the general paper category for graduate students at the 2025 Korean Computer Comprehensive Academic Conference (KCC2025) held in Jeju Island from July 1 (Tue) to July 4 (Fri), 2025.
Song Mu-hyun conducted research on the topic “A Cost-Efficient AI Development Platform Based on Spot Instances,” proposing an innovative AI development platform that can significantly reduce AI development costs in a cloud environment.
The study demonstrated that by combining serverless computing with AWS Spot Instances, it is possible to achieve cost savings of up to 76.2% compared to existing commercial services. Notably, when the proposed system was applied to an actual AI-related course environment, it provided a stable AI development environment while reducing costs by 77.44% compared to an on-demand approach, as verified by the use of the system by over 40 students over a 50-day period.
Song Mu-hyun said, “I started this research to improve the reality where computing costs for AI education and research are a significant burden, and I made it open source on GitHub so that anyone can use it. I plan to expand it to include GPU support and a multi-cloud environment in the future.”
This research was conducted with support from the Ministry of Science and ICT and the National Information Society Agency. (Next-generation cloud system that autonomously provides an optimal AI service environment)
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This content is translated from Korean to English using the AI translation service DeepL and may contain translation errors such as jargon/pronouns. If you find any, please send your feedback to kookminpr@kookmin.ac.kr so we can correct them.
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2025 Korea Computer Conference (KCC) Outstanding Paper Award / Song Moo-hyun (Software Engineering, 20) |
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Song Muhyun, a student at Kookmin University (Software Engineering Department, Class of 2020), received the Outstanding Paper Award in the general paper category for graduate students at the 2025 Korean Computer Comprehensive Academic Conference (KCC2025) held in Jeju Island from July 1 (Tue) to July 4 (Fri), 2025.
Song Mu-hyun conducted research on the topic “A Cost-Efficient AI Development Platform Based on Spot Instances,” proposing an innovative AI development platform that can significantly reduce AI development costs in a cloud environment.
The study demonstrated that by combining serverless computing with AWS Spot Instances, it is possible to achieve cost savings of up to 76.2% compared to existing commercial services. Notably, when the proposed system was applied to an actual AI-related course environment, it provided a stable AI development environment while reducing costs by 77.44% compared to an on-demand approach, as verified by the use of the system by over 40 students over a 50-day period.
Song Mu-hyun said, “I started this research to improve the reality where computing costs for AI education and research are a significant burden, and I made it open source on GitHub so that anyone can use it. I plan to expand it to include GPU support and a multi-cloud environment in the future.”
This research was conducted with support from the Ministry of Science and ICT and the National Information Society Agency. (Next-generation cloud system that autonomously provides an optimal AI service environment)
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