News

Yeonho’s paper on traffic splitting in datacenters, VALO, has been accepted at ACM Sigmetrics 2025! 📄✨
VALO solves a traditional but critical inaccuracy problem of traffic splitting by its novel modeling approach. 🚀 

Congratulations 🥳 to Yeonho on this impressive achievement!

We are proudly supported by Lambda’s research grant for high-performance GPU infrastructure.

Our team attended the 2025 Computer System Society Conference held in Yongpyeong.

Welcome Jaerim Park (MS course) and Sunaje Park (PhD-MS integrated course) to our team!
Looking forward to exciting achievements together. Let’s make it a fantastic journey! 🚀✨

Welcome onboard! 🙌🎉

Eight of our papers have been accepted at the Korea Software Congress 2024 (KSC 2024)! This milestone highlights the exceptional contributions of undergraduate interns who played significant roles in these papers. Congratulations to all the authors! 👍

• 강민철, 고영훈, 유혁 ,양경식, eBPF 기반 실시간/경량 GPU 워크로드 추적 기법, 2024 한국소프트웨어종합학술대회 (KSC2024) 🏆 Best paper award!

• 조휘주, 최원미, 최종인, 유혁, 양경식, 6G 네트워크 시스템 구축을 위한 O-RAN 및 NVIDIA AI Aerial 플랫폼 비교분석, 2024 한국소프트웨어종합학술대회 (KSC2024) 

• 권도혁, 조휘주, 유연호, 유혁, 양경식, 네트워크 트래픽 사이즈 예측 모델의 경량화를 위한 양자화 기법 분석 및 비교, 2024 한국소프트웨어종합학술대회 (KSC2024)

• 박재림, 신창용, 양경식, 유혁, 양자화 기법의 거대 언어 모델 간 메모리 및 추론 속도 비교 분석, 2024 한국소프트웨어종합학술대회 (KSC2024)

• 안주영, 박선재, 최원미, 유혁, 양경식, 대규모 언어 모델 대상 분할-연합학습에서의 레이어별 통신 비용 분석, 2024 한국소프트웨어종합학술대회 (KSC2024) 🏆 Best paper presentation award!

• 최현목, 이현호, 유연호, 양경식, 유혁, 분산 딥러닝 학습에서 네트워크 대역폭과 모델 특성에 따른 학습 시간 변화 분석, 2024 한국소프트웨어종합학술대회 (KSC2024) 🏆 Best undergraduate paper award!

• 강준혁, 강민철, 고영훈, 유혁, 양경식, GPU 구성 요소의 성능 및 전력 소비에 대한 민감도 분석, 2024 한국소프트웨어종합학술대회 (KSC2024)

• 노태윤, 정승우, 유연호, 양경식, 유혁, 분할-연합학습의 데이터, 자원 이질성 극복을 위한 연구 동향 분석, 2024 한국소프트웨어종합학술대회 (KSC2024) 🏆 Best undergraduate paper award!

Wonmi and Eujin's secure container platform paper has been recognized as "best paper!"

Congratulations :)

Hwiju presented her paper for 6G network systems at ICTC 2024 workshop.

Great work :)

Our lab won the Best Poster Award at AI Tech Day 2024! We presented predictions for AI infrastructure related to model training, our federated learning technique, and predictive node placements on clouds. 

Special thanks to Jinwoo, Junseok, and Juyoung for their efforts!

Our work on private blockchain configuration through prediction models has been accepted for publication in ICT Express.
Great work!

Our work on accelerating IoT container networking has been accepted for publication in the IEEE Internet of Things Journal.
Great work!

Prof. Blesson Varghese from the University of St Andrews gave an invited talk on edge AI systems. 🤖

• Title: Opportunities in Machine Learning Systems for the Edge

• Abstract: The premise of edge computing is to offer services on devices closer to the user than from the cloud. In this talk, I will discuss our experience of making machine learning (ML) work for the edge. I will discuss a range of techniques developed in my lab with my students that address computation and communication bottlenecks to make ML systems work on edge devices. 

Youngjun, an undergraduate intern, won the Encouragement Award at the KCC 2024 Undergraduate Student Paper Contest! 🎉

Congratulations to Youngjun and the team for their achievement 🏆

Two papers for The Journal of the Korean Institute of Communications and Information Sciences have been accepted.

• An Analysis on Inference Time, Accuracy, Communication, and GPU Memory Usage for Inference Batch of Large Language Models

• Analysis of Workload Performance and Resource Consumption of Lightweight Secure Virtualization Platforms in IoT/Edge Computing

Congratulations! 🎉

We are delighted to welcome Younghun, who has commenced his Ph.D. program, and Jongin, who has started his integrated MS-Ph.D. program.

We are pleased to welcome three new undergraduate interns to our team: Sunjae, Minuk, and Hyunmok (from Summer-2024).

Wonmi and Junseok presented their research papers at IEEE CLOUD 2024 in Shenzhen, China. Well done! 👏
Our members Seungwoo, Juyoung, Mincheol, and Yunkyung also attended to experience cutting-edge research.

• Junseok Lee, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang, "Predictive Placement of Geo-distributed Blockchain Nodes for Performance Guarantee" 🌐

• Wonmi Choi, Juyoung Ahn, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang, "Harmonia: Accurate Federated Learning with All-Inclusive Dataset" 🤖

Congratulations to all the authors for their remarkable contributions! 🥳📚

Three research papers on domestic conferences in Jeju Island during the summer of 2024 have been accepted. 🎉
Congratulations to our undergraduate interns and MS students!

• Expert 수와 배치 크기에 따른 Mixture of Experts 학습 성능 분석, 2024 한국컴퓨터종합학술대회 (KCC 2024), 조영준, 고영훈, 신창용, 유연호, 유혁, 양경식

• 분산 딥러닝 학습 프로세스와 운영체제 커널 간 인터페이스 병목 분석, 2024 한국컴퓨터종합학술대회 (KCC 2024), 강민철, 강준혁, 신창용, 유연호, 유혁, 양경식

• 허가형 블록체인을 위한 보안 컨테이너 활용 방안 연구, 2024년도 한국통신학회 하계종합학술발표회, 강윤경, 노태윤, 이준석, 최원미, 유연호, 양경식, 유혁

Prof. Yang and Dr. Yoo attended ACM MobiSys 2024. 🏛️ 

Prof. Yang gave a talk at the Mobile AI Systems workshop on the topic "Analysis of Containerized Networking Systems in IoT Devices." 📡

We are excited to announce that two papers have been accepted at the 2024 IEEE CLOUD in Shenzhen, China. 🎉 

Congratulations to Junseok, Yeonho, Juyoung, and Wonmi for their outstanding work! 🤖 [more]

🚀 Research project for "consortium learning" system, toward secure and high-performance AI training in private domains, has been accepted! 🎉

 
A heartfelt thanks to the team members for their hard work and dedication to the proposal! 🙌🏼

Research project for "end-to-end performance assurance for 6G networks" has been accepted 📡.
Our team will investigate the 6G cloud part ☁️. 

This project will be carried out in collaboration with excellent research teams from SNU, KU, SKKU, UNIST, and Hanyang Univ 🎓.

🎉Congratulations to Dr. Yoo, who we worked with, on his PhD! He will be joining us as a postdoc to research interesting topics. 

We wish him the best of luck in his future endeavors!🍀

Our team attended CSC 2024 (컴퓨터시스템 동계학술대회 2024)! Prof. Yang had a talk at the newcomer session. 

It was a great research experience and a time of fellowship ⛷️. 

Prof. Yang attended the 34th HSN 2024 and had a talk at the next-generation datacenter session!

Hwiju, having been an undergraduate intern for a while, has started her journey in the integrated MS-Ph.D. program. 

Welcome! 😆

Two marvelous undergraduate interns, Joonhyuk and Youngjun, have joined our team! So thrilled to welcome them aboard.

Prof. Yang, as a new professor, recently gave an interview (KOR) to the department, which has now been published. Check it out at the link! [more]

It is exciting to share that two undergraduate interns, Hwiju and Taeyun, have joined our lab, starting in September and November, respectively!

Our paper on AI-based network OS has been accepted at IEEE trans. on Cservicesloud Computing (JCR top 1%)! Congratulations, Yeonho! 

[more]

One paper on throughput-guaranteed programmable network virtualization has been published at IEEE trans. on Cloud Computing (July, 2023 / JCR top 10%)! Congratulations, Yeonho!

Prof. Yang, Yeonho, Wonmi, and Prof. Yoo attended APNet23. We met our friends and research colleagues from Micrsoft Research Asia!