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Mingyu Liang
Tytuł
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Cytowane przez
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Sage: practical and scalable ML-driven performance debugging in microservices
Y Gan, M Liang, S Dev, D Lo, C Delimitrou
Proceedings of the 26th ACM International Conference on Architectural …, 2021
1202021
Sage: Leveraging ml to diagnose unpredictable performance in cloud microservices
Y Gan, M Liang, S Dev, D Lo, C Delimitrou
arXiv preprint arXiv:2112.06263, 2021
202021
Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks
M Liang, W Fu, L Feng, Z Lin, P Panakanti, S Zheng, S Sridharan, ...
Proceedings of the 50th Annual International Symposium on Computer …, 2023
42023
Ditto: End-to-End Application Cloning for Networked Cloud Services
M Liang, Y Gan, Y Li, C Torres, A Dhanotia, M Ketkar, C Delimitrou
Proceedings of the 28th ACM International Conference on Architectural …, 2023
32023
When power oversubscription meets traffic flood attack: Re-thinking data center peak load management
X Hou, M Liang, C Li, W Zheng, Q Chen, M Guo
Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019
32019
Enabling practical cloud performance debugging with unsupervised learning
Y Gan, M Liang, S Dev, D Lo, C Delimitrou
ACM SIGOPS Operating Systems Review 56 (1), 34-41, 2022
12022
Practical and Scalable ML-Driven Cloud Performance Debugging With Sage
Y Gan, M Liang, S Dev, D Lo, C Delimitrou
IEEE Micro 42 (4), 27-36, 2022
12022
Aucher: Multi-modal queries on live audio streams in real-time
Z Wen, M Liang, B He, Z Xia, B Li
2019 IEEE 35th International Conference on Data Engineering (ICDE), 1960-1963, 2019
12019
A high-performance index for real-time matrix retrieval
Z Wen, M Liang, B He, Z Xia
IEEE Transactions on Knowledge and Data Engineering 34 (7), 3044-3056, 2020
2020
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