I am researcher at the Software Technology Research Center in KNU. I received my computer science M.S. in KNU advised by Byungchul Tak.  My research focuses on system reliability particularly in the areas of misconfiguration, log analysis and AI-driven troubleshooting. The goal of my research is to address and resolve complex system problems. 

Research Interests

• Misconfiguration, Log analysis

• Troubleshooting, Root Cause Analysis  

• Deep Learning, Natural Language Processing 

My recent work is focusing on analyzing the root cause of system configuration problems.  With the increasing complexity of the system, configuration faults (Misconfiguration) has become one of the main cause of system failures. In this work, I find out the characteristics of configuration faults and analyze system logs to  figure out the problem-caused system configuration. 

My previous work is to find out the most relevant online forum data for system troubleshooting.  Online technical forums have become an indispensable source of data for system problems and contain massive volumes of troubleshooting data. However, it is still challenging to retrieve the most relevant information for the problem at hand.  To utilize online forums for system troubleshooting, I figured out the characteristics of online forum posts and suggested approaches to mine the most relevant posts to users' system problems by applying multiple language models.

Publication

• Youyang Kim, Yaoping Ruan, Young-kyoon Suh, Liqiang Wang, Byungchul Tak.  "FDR: Fine-granular data retrieval of online forum knowledge with language models for system troubleshooting". Under review 

• Youyang Kim,  Eungu Kwon, and Byungchul Tak, "Pinpointing Misconfigurations of Distributed Applications via Log Analysis with Deep Learning Models"  The 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24, Poster), Santa Clara, CA, USA, Apr 2024. (1st, and 2nd authors contributed equally) 

• Fatima Abdullah, Mian Muaz Razaq, Youyang Kim, Limei Peng, Young-kyoon Suh, Byungchul Tak,  "IoT Query Latency Enhancement by Resource-Aware Task Placement in the Fog", The 39th ACM/SIGAPP Symposium On Applied Computing (SAC'24), Apr 2024, Avila, Spain

• Eunwoo Go, Minyeop Song, Youyang Kim, Sion Min, Byungchul Tak, "The Feasibility of Utilizing NER for Ideal Log Template Extraction", Korea Computer Congress (KCC, Domestic), Jeju, Korea, Jun 26th, 2024. 

• Somin Song, Youyang Kim, and Byungchul Tak, "Quantitative Analysis of Sequence-based Container Security Enhancement using System Call Sequence Extraction Framework", Journal of KIISE (JOK, Domestic): Computer Systems and Theory, Vol 50, No 11, pp 913-923, Nov 2023.

• Youyang Kim, Somin Song, and Byungchul Tak, "Root Cause Categorization Using Online Forum Data and Transformer-based BERT Model", Ubiquitous Computing and Web Information Technology Conference 2022 (UCWIT'22, Domestic)

• Somin Song, Youyang Kim, and Byungchul Tak, "Effectiveness Analysis of System call Sequence-based Container Security Mechanism",  The 49th Korean Information Science Society Conference 2022 (KSC'22, Domestic), Outstanding Paper Award

Education

• 2021.09-2023.08 Computer Science M.S. in Kyungpook National University, Daegu, Republic of Korea

  • M.S. Thesis - Accurate Troubleshooting Recommendations Using Online Forum and Language Models 

• 2014.03-2018.08 Electronic Engineering B.S. in Kyungpook National University, Daegu, Republic of Korea

Employment

• 2023.Sep ~, Researcher at Software Technology Research Center, Kyungpook National University, Daegu, Korea

Awards

• Outstanding Presentation, ERC STAAR (Software Disaster Research Center, KNU) Workshop, 2022, 2023, 2024 

• Outstanding Paper Award, Korean Information Science Society Conference (KSC), 2022.

Talks & Presentation 

• Accurate Troubleshooting Recommendations Using Online Forum and Language Models, STAAR Workshop, Ulsan, 6, July 2023.

• Log-based Root Cause Analysis Using Transformer-based model, STAAR Workshop, Pohang, 15, July 2022.