Log clustering based problem identification for online service systems Q Lin, H Zhang, JG Lou, Y Zhang, X Chen Proceedings of the 38th International Conference on Software Engineering …, 2016 | 350 | 2016 |
Robust log-based anomaly detection on unstable log data X Zhang, Y Xu, Q Lin, B Qiao, H Zhang, Y Dang, C Xie, X Yang, Q Cheng, ... Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 285 | 2019 |
Where do developers log? an empirical study on logging practices in industry Q Fu, J Zhu, W Hu, JG Lou, R Ding, Q Lin, D Zhang, T Xie Companion Proceedings of the 36th International Conference on Software …, 2014 | 250 | 2014 |
Aiops: real-world challenges and research innovations Y Dang, Q Lin, P Huang 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 131 | 2019 |
Identifying impactful service system problems via log analysis S He, Q Lin, JG Lou, H Zhang, MR Lyu, D Zhang Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 129 | 2018 |
Improving service availability of cloud systems by predicting disk error Y Xu, K Sui, R Yao, H Zhang, Q Lin, Y Dang, P Li, K Jiang, W Zhang, ... 2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18), 481-494, 2018 | 116 | 2018 |
Correlating events with time series for incident diagnosis C Luo, JG Lou, Q Lin, Q Fu, R Ding, D Zhang, Z Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 111 | 2014 |
Log2: A cost-aware logging mechanism for performance diagnosis R Ding, H Zhou, JG Lou, H Zhang, Q Lin, Q Fu, D Zhang, T Xie 2015 {USENIX} Annual Technical Conference ({USENIX}{ATC} 15), 139-150, 2015 | 102 | 2015 |
Predicting node failure in cloud service systems Q Lin, K Hsieh, Y Dang, H Zhang, K Sui, Y Xu, JG Lou, C Li, Y Wu, R Yao, ... Proceedings of the 2018 26th ACM joint meeting on European software …, 2018 | 87 | 2018 |
Software analytics for incident management of online services: An experience report JG Lou, Q Lin, R Ding, Q Fu, D Zhang, T Xie 2013 28th IEEE/ACM International Conference on Automated Software …, 2013 | 66 | 2013 |
An empirical investigation of incident triage for online service systems J Chen, X He, Q Lin, Y Xu, H Zhang, D Hao, F Gao, Z Xu, Y Dang, ... 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 63 | 2019 |
SONIC: Application-aware data passing for chained serverless applications A Mahgoub, K Shankar, S Mitra, A Klimovic, S Chaterji, S Bagchi USENIX Annual Technical Conference (USENIX ATC), 2021 | 61 | 2021 |
Continuous incident triage for large-scale online service systems J Chen, X He, Q Lin, H Zhang, D Hao, F Gao, Z Xu, Y Dang, D Zhang 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 58 | 2019 |
Cross-dataset Time Series Anomaly Detection for Cloud Systems. X Zhang, Q Lin, Y Xu, S Qin, H Zhang, B Qiao, Y Dang, X Yang, Q Cheng, ... USENIX Annual Technical Conference, 1063-1076, 2019 | 52 | 2019 |
Outage prediction and diagnosis for cloud service systems Y Chen, X Yang, Q Lin, H Zhang, F Gao, Z Xu, Y Dang, D Zhang, H Dong, ... The world wide web conference, 2659-2665, 2019 | 51 | 2019 |
Contextual analysis of program logs for understanding system behaviors Q Fu, JG Lou, Q Lin, R Ding, D Zhang, T Xie 2013 10th Working Conference on Mining Software Repositories (MSR), 397-400, 2013 | 48 | 2013 |
Application-specific power management Q Lin, F Li, J Li US Patent 8,635,475, 2014 | 39 | 2014 |
iDice: problem identification for emerging issues Q Lin, JG Lou, H Zhang, D Zhang Proceedings of the 38th International Conference on Software Engineering …, 2016 | 37 | 2016 |
Neural feature search: A neural architecture for automated feature engineering X Chen, Q Lin, C Luo, X Li, H Zhang, Y Xu, Y Dang, K Sui, X Zhang, ... 2019 IEEE International Conference on Data Mining (ICDM), 71-80, 2019 | 33 | 2019 |
Identifying recurrent and unknown performance issues MH Lim, JG Lou, H Zhang, Q Fu, ABJ Teoh, Q Lin, R Ding, D Zhang 2014 IEEE International Conference on Data Mining, 320-329, 2014 | 33 | 2014 |