| Progress-based container scheduling for short-lived applications in a kubernetes cluster Y Fu, S Zhang, J Terrero, Y Mao, G Liu, S Li, D Tao 2019 IEEE International Conference on Big Data (Big Data), 278-287, 2019 | 54 | 2019 |
| Resource management schemes for cloud-native platforms with computing containers of docker and kubernetes Y Mao, Y Fu, S Gu, S Vhaduri, L Cheng, Q Liu arXiv preprint arXiv:2010.10350, 2020 | 46 | 2020 |
| Speculative container scheduling for deep learning applications in a kubernetes cluster Y Mao, Y Fu, W Zheng, L Cheng, Q Liu, D Tao IEEE Systems Journal 16 (3), 3770-3781, 2021 | 30 | 2021 |
| Sfs: Smart os scheduling for serverless functions Y Fu, L Liu, H Wang, Y Cheng, S Chen SC22: International Conference for High Performance Computing, Networking …, 2022 | 9 | 2022 |
| {SHADE}: Enable Fundamental Cacheability for Distributed Deep Learning Training RIS Khan, AH Yazdani, Y Fu, AK Paul, B Ji, X Jian, Y Cheng, AR Butt 21st USENIX Conference on File and Storage Technologies (FAST 23), 135-152, 2023 | 6 | 2023 |
| SpeCon: Speculative container scheduling for deep learning applications in a Kubernetes cluster Y Mao, Y Fu, W Zheng, L Cheng, Q Liu Preprints, 2020 | 1 | 2020 |
| Gödel: Unified Large-Scale Resource Management and Scheduling at ByteDance W Xiang, Y Li, Y Ren, F Jiang, C Xin, V Gupta, C Xiang, X Song, M Liu, ... Proceedings of the 2023 ACM Symposium on Cloud Computing, 308-323, 2023 | | 2023 |
Yue ChengAssociate Professor, University of VirginiaVerified email at virginia.edu
