Assistant Professor, Computer Science Assistant Professor, Data Science
Bio
Ph.D. Virginia Tech, 2017B.Eng. Beijing University of Posts and Telecommunications, 2009
Research interests include:
Distributed and storage systems, Cloud Computing, High-performance Computing, Operating Systems
Yue Cheng holds a dual appointment as an Assistant Professor in the School of Data Science and in the Department of Computer Science. Prior to joining UVA in 2022, he was an Assistant Professor of Computer Science at George Mason University. Cheng's research interests include distributed systems, cloud and serverless computing, high-performance computing, and operating systems. His research is driven by the complexities of modern data-intensive computer systems, and the need for more efficient and easy-to-use approaches to manage such complexities. His current research focuses on designing efficient data systems for data science: (1) designing efficient stateful serverless computing systems using a full-stack approach spanning applications, platforms, and OS/hardware; and (2) building better computing and storage systems for distributed machine learning.
Awards
IEEE Computer Society TCHPC Early Career Researchers Awards for Excellence in HPC2022
Meta Research Award2022
SC Best Student Paper Award Finalist2022
NSF CAREER Award2021
Amazon Research Award2020
Research Interests
Distributed and storage systems
cloud computing
high-performance computing
operating systems
Selected Publications
"SFS: Smart OS Scheduling for Serverless Functions"; The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'22), 2022 Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen
"FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute"; 2021 USENIX Annual Technical Conference (ATC'21), 2021 ABSAo Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng
"Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing"; The ACM Symposium on Cloud Computing (SoCC'20), 2020 ABSBenjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
"TiFL: A Tier-based Federated Learning System"; The ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'20) 2020 ABSZheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache ABSAo Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng