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Faculty
Yue Cheng
Associate Professor of Data Science
School of Data Science
Additional Roles
Associate Professor Computer Science
Department of Computer Science
Email: mrz7dp@virginia.edu
Additional Contact Information
Website: tddg.github.io/
Office: 1919 Ivy Rd., Rm. 435
Yue Cheng holds a dual appointment as an Assistant Professor in the School of Data Science and in the Department of Computer Science. His 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.
Cheng's current research focuses on designing efficient data systems for data science. Specifically, he is currently working on: (1) designing efficient stateful serverless computing systems using a full-stack approach spanning applications, platforms, and operating systems/hardware, and (2) building better computing and storage systems for distributed machine learning.
Prior to joining UVA, Cheng was an Assistant Professor of Computer Science at George Mason University. He holds a Ph.D. in Computer Science from Virginia Tech, and a B.Eng in Computer Science from Beijing University of Posts and Telecommunications in China.
Education
- Ph.D., Computer Science, Virginia Polytechnic Institute and State University
- B.Eng., Computer Science, Beijing University of Posts and Telecommunications
Selected Publications
Fu, Y., Liu, L., Wang, H., Cheng, Y., Chen, S. (2022). Smart OS Scheduling for Serverless Functions. International Conference for High Performance Computing, Networking, Storage, and Analysis
Wang, A., Chang, S., Tian, H., Wang, H., Yang, H., Li, H., Du, R., Cheng, Y.
(2021). FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute. USENIX Annual Technical Conference
Carver, B., Zhang, J., Wang, A., Anwar, A., Wu, P., Cheng, Y. (2020). Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing.
ACM Symposium on Cloud Computing
Chai, Z., Ali, A., Zawad, S., Truex, S., Anwar, A., Baracaldo, N., Zhou, Y., Ludwig, H., Yan, F., Cheng, Y. (2020). TiFL: A Tier-based Federated Learning System. ACM Symposium on High-Performance Parallel and Distributed Computing
Wang, A., Zhang, J., Ma, X., Anwar, A., Rupprecht, L., Skourtis, D., Tarasov, V., Yan, F., Cheng, Y. (2020). InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. 18th USENIX Conference on File and Storage Technologies