| Causeinfer: Automatic and distributed performance diagnosis with hierarchical causality graph in large distributed systems P Chen, Y Qi, P Zheng, D Hou IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 1887-1895, 2014 | 146 | 2014 |
| An automatic framework for detecting and characterizing performance degradation of software systems P Zheng, Y Qi, Y Zhou, P Chen, J Zhan, MRT Lyu IEEE Transactions on Reliability 63 (4), 927-943, 2014 | 45 | 2014 |
| Hound: Causal learning for datacenter-scale straggler diagnosis P Zheng, BC Lee Proceedings of the ACM on Measurement and Analysis of Computing Systems 2 (1 …, 2018 | 24 | 2018 |
| Shockwave: Fair and efficient cluster scheduling for dynamic adaptation in machine learning P Zheng, R Pan, T Khan, S Venkataraman, A Akella 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 13 | 2023 |
| Granger causality-aware prediction and diagnosis of software degradation P Zheng, Y Zhou, MR Lyu, Y Qi 2014 IEEE International Conference on Services Computing, 528-535, 2014 | 9 | 2014 |
| Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement Learning Q Ding, P Zheng, S Kudari, S Venkataraman, Z Zhang Proceedings of the International Conference for High Performance Computing …, 2023 | 4 | 2023 |
| Multi-scale entropy: One metric of software aging P Chen, Y Qi, P Zheng, J Zhan, Y Wu 2013 IEEE Seventh International Symposium on Service-Oriented System …, 2013 | 4 | 2013 |
| Artificial intelligence for understanding large and complex datacenters P Zheng Duke University, 2020 | 1 | 2020 |
