Pado: A Data Processing Engine for Harnessing Transient Resources in Datacenters. - Youngseok Yang; Geon-Woo Kim; Won Wook Song; Yunseong Lee; Andrew Chung; Zhengping Qian; Brian Cho; Byung-Gon Chun (EuroSys, 2017)

Automating System Configuration of Distributed Machine Learning. - Woo-Yeon Lee; Markus Weimer; Brian Cho; Byung-Gon Chun; Yunseong Lee; Joo Seong Jeong; Gyeong-In Yu; Jooyeon Kim; Hojin Park; Beomyeol Jeon; Won Wook Song; Gunhee Kim (ICDCS, 2019)

Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies. - Youngseok Yang; Jeongyoon Eo; Geon-Woo Kim; Jooyeon Kim; Sanha Lee; Jangho Seo; Won Wook Song; Byung-Gon Chun (USENIX ATC, 2019)

Apache Nemo: A Framework for Optimizing Distributed Data Processing. - Won Wook Song; Youngseok Yang; Jeongyoon Eo; Jangho Seo; Joo Yeon Kim; Sanha Lee; Gyewon Lee; Taegeon Um; Haeyoon Cho 001; Byung-Gon Chun (ACM Trans. Comput. Syst., 2020)

Harmony: A Scheduling Framework Optimized for Multiple Distributed Machine Learning Jobs. - Woo-Yeon Lee; Yunseong Lee; Won Wook Song; Youngseok Yang; Jooyeon Kim; Byung-Gon Chun (ICDCS, 2021)

SWAN: WAN-aware stream processing on geographically-distributed clusters. - Won Wook Song; Myeongjae Jeon; Byung-Gon Chun (APSys, 2022)

Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. - Won Wook Song; Taegeon Um; Sameh Elnikety; Myeongjae Jeon; Byung-Gon Chun (USENIX ATC, 2023)

Blaze: Holistic Caching for Iterative Data Processing. - Won Wook Song; Jeongyoon Eo; Taegeon Um; Myeongjae Jeon; Byung-Gon Chun (EuroSys, 2024)