| Microscope: Pinpoint performance issues with causal graphs in micro-service environments JJ Lin, P Chen, Z Zheng Service-Oriented Computing: 16th International Conference, ICSOC 2018 …, 2018 | 217 | 2018 |
| Cloudranger: Root cause identification for cloud native systems P Wang, J Xu, M Ma, W Lin, D Pan, Y Wang, P Chen 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2018 | 168 | 2018 |
| 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 | 156 | 2014 |
| Swisslog: Robust and unified deep learning based log anomaly detection for diverse faults X Li, P Chen, L Jing, Z He, G Yu 2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020 | 133 | 2020 |
| Automap: Diagnose your microservice-based web applications automatically M Ma, J Xu, Y Wang, P Chen, Z Zhang, P Wang Proceedings of The Web Conference 2020, 246-258, 2020 | 132 | 2020 |
| A spatiotemporal deep learning approach for unsupervised anomaly detection in cloud systems Z He, P Chen, X Li, Y Wang, G Yu, C Chen, X Li, Z Zheng IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1705-1719, 2020 | 107 | 2020 |
| Microrank: End-to-end latency issue localization with extended spectrum analysis in microservice environments G Yu, P Chen, H Chen, Z Guan, Z Huang, L Jing, T Weng, X Sun, X Li Proceedings of the Web Conference 2021, 3087-3098, 2021 | 100 | 2021 |
| Microscaler: Automatic scaling for microservices with an online learning approach G Yu, P Chen, Z Zheng 2019 IEEE International Conference on Web Services (ICWS), 68-75, 2019 | 99 | 2019 |
| An approach for anomaly diagnosis based on hybrid graph model with logs for distributed services T Jia, P Chen, L Yang, Y Li, F Meng, J Xu 2017 IEEE international conference on web services (ICWS), 25-32, 2017 | 98 | 2017 |
| Logsed: Anomaly diagnosis through mining time-weighted control flow graph in logs T Jia, L Yang, P Chen, Y Li, F Meng, J Xu 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 447-455, 2017 | 83 | 2017 |
| CauseInfer: Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environment P Chen, Y Qi, D Hou IEEE transactions on services computing 12 (2), 214-230, 2016 | 80 | 2016 |
| Microscaler: Cost-Effective Scaling for Microservice Applications in the Cloud With an Online Learning Approach G Yu, P Chen, Z Zheng IEEE Transactions on Cloud Computing 10 (2), 1100-1116, 2020 | 69 | 2020 |
| A semi-supervised vae based active anomaly detection framework in multivariate time series for online systems T Huang, P Chen, R Li Proceedings of the ACM Web Conference 2022, 1797-1806, 2022 | 57 | 2022 |
| Function delivery network: Extending serverless computing for heterogeneous platforms A Jindal, M Gerndt, M Chadha, V Podolskiy, P Chen Software: Practice and Experience 51 (9), 1936-1963, 2021 | 57 | 2021 |
| 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 | 46 | 2014 |
| Swisslog: Robust anomaly detection and localization for interleaved unstructured logs X Li, P Chen, L Jing, Z He, G Yu IEEE Transactions on Dependable and Secure Computing 20 (4), 2762-2780, 2022 | 41 | 2022 |
| Nezha: Interpretable fine-grained root causes analysis for microservices on multi-modal observability data G Yu, P Chen, Y Li, H Chen, X Li, Z Zheng Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 39 | 2023 |
| Logdc: Problem diagnosis for declartively-deployed cloud applications with log J Xu, P Chen, L Yang, F Meng, P Wang 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE …, 2017 | 36 | 2017 |
| Taskinsight: A fine-grained performance anomaly detection and problem locating system X Zhang, F Meng, P Chen, J Xu 2016 IEEE 9th International Conference on Cloud Computing (CLOUD), 917-920, 2016 | 35 | 2016 |
| Lightweight and adaptive service api performance monitoring in highly dynamic cloud environment J Xu, Y Wang, P Chen, P Wang 2017 IEEE International Conference on Services Computing (SCC), 35-43, 2017 | 32 | 2017 |
