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Minghua Ma
Minghua Ma
Verified email at microsoft.com - Homepage
Title
Cited by
Year
{Jump-Starting} Multivariate Time Series Anomaly Detection for Online Service Systems
M Ma, S Zhang, J Chen, J Xu, H Li, Y Lin, X Nie, B Zhou, Y Wang, D Pei
2021 USENIX Annual Technical Conference (USENIX ATC 21), 413-426, 2021
572021
A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management
Y Sun, J Wang, Z Li, X Nie, M Ma, S Zhang, Y Ji, L Zhang, W Long, ...
arXiv preprint arXiv:2407.14532, 2024
2024
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain
Z Zhong, Q Fan, J Zhang, M Ma, S Zhang, Y Sun, Q Lin, Y Zhang, D Pei
arXiv preprint arXiv:2308.00393, 2023
62023
Aegis: Attribution of control plane change impact across layers and components for cloud systems
X Yan, K Hsieh, Y Liyanage, M Ma, M Chintalapati, Q Lin, Y Dang, ...
2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023
82023
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
C Zhang, Z Ma, Y Wu, S He, S Qin, M Ma, X Qin, Y Kang, Y Liang, X Gou, ...
arXiv preprint arXiv:2403.15157, 2024
22024
An empirical investigation of missing data handling in cloud node failure prediction
M Ma, Y Liu, Y Tong, H Li, P Zhao, Y Xu, H Zhang, S He, L Wang, Y Dang, ...
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
182022
An empirical study of log analysis at Microsoft
S He, X Zhang, P He, Y Xu, L Li, Y Kang, M Ma, Y Wei, Y Dang, ...
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
182022
Assess and summarize: Improve outage understanding with large language models
P Jin, S Zhang, M Ma, H Li, Y Kang, L Li, Y Liu, B Qiao, C Zhang, P Zhao, ...
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
202023
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
X Zhang, S Ghosh, C Bansal, R Wang, M Ma, Y Kang, S Rajmohan
Companion Proceedings of the 32nd ACM International Conference on the …, 2024
62024
Automatic and generic periodicity adaptation for kpi anomaly detection
N Zhao, J Zhu, Y Wang, M Ma, W Zhang, D Liu, M Zhang, D Pei
IEEE Transactions on Network and Service Management 16 (3), 1170-1183, 2019
462019
Automatic root cause analysis via large language models for cloud incidents
Y Chen, H Xie, M Ma, Y Kang, X Gao, L Shi, Y Cao, X Gao, H Fan, M Wen, ...
Proceedings of the Nineteenth European Conference on Computer Systems, 674-688, 2024
38*2024
Batch Job Run Time Prediction for Auto-Scaling in the Cloud
M Ma, C Zheng, J Chen, Y Li, X Peng, G Wang, Y Wu, F Zhou, W Zhang, ...
2020
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
M Shetty, Y Chen, G Somashekar, M Ma, Y Simmhan, X Zhang, J Mace, ...
arXiv preprint arXiv:2407.12165, 2024
2024
Characterizing and improving wifi latency in large-scale operational networks
K Sui, M Zhou, D Liu, M Ma, D Pei, Y Zhao, Z Li, T Moscibroda
Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016
1232016
Codec: Cost-effective duration prediction system for deadline scheduling in the cloud
H Li, M Ma, Y Liu, S Qin, B Qiao, R Yao, H Chaturvedi, T Tran, ...
2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023
22023
Conan: Diagnosing batch failures for cloud systems
L Li, X Zhang, S He, Y Kang, H Zhang, M Ma, Y Dang, Z Xu, S Rajmohan, ...
2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023
62023
Constructing large-scale real-world benchmark datasets for aiops
Z Li, N Zhao, S Zhang, Y Sun, P Chen, X Wen, M Ma, D Pei
arXiv preprint arXiv:2208.03938, 2022
162022
Detection is better than cure: A cloud incidents perspective
V Ganatra, A Parayil, S Ghosh, Y Kang, M Ma, C Bansal, S Nath, J Mace
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
82023
Diagnosing root causes of intermittent slow queries in cloud databases
M Ma, Z Yin, S Zhang, S Wang, C Zheng, X Jiang, H Hu, C Luo, Y Li, ...
Proceedings of the VLDB Endowment 13 (8), 1176-1189, 2020
972020
DockerMock: Pre-build detection of dockerfile faults through mocking instruction execution
M Li, X Bai, M Ma, D Pei
arXiv preprint arXiv:2104.05490, 2021
12021
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