An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Y Gan, Y Zhang, D Cheng, A Shetty, P Rathi, N Katarki, A Bruno, J Hu, ... Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 758 | 2019 |
Seer: Leveraging big data to navigate the complexity of performance debugging in cloud microservices Y Gan, Y Zhang, K Hu, D Cheng, Y He, M Pancholi, C Delimitrou Proceedings of the twenty-fourth international conference on architectural …, 2019 | 343 | 2019 |
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 | 191 | 2021 |
The architectural implications of cloud microservices Y Gan, C Delimitrou IEEE Computer Architecture Letters 17 (2), 155-158, 2018 | 156 | 2018 |
µqsim: Enabling accurate and scalable simulation for interactive microservices Y Zhang, Y Gan, C Delimitrou 2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019 | 42* | 2019 |
Seer: leveraging big data to navigate the complexity of cloud debugging Y Gan, M Pancholi, D Cheng, S Hu, Y He, C Delimitrou Proceedings of the 10th USENIX Conference on Hot Topics in Cloud Computing …, 2018 | 32* | 2018 |
Sage: Leveraging ML To Diagnose Unpredictable Performance in Cloud Microservices Y Gan, S Dev, D Lo, C Delimitrou ML for Computer Architecture and Systems, 2020 | 21 | 2020 |
Unveiling the hardware and software implications of microservices in cloud and edge systems Y Gan, Y Zhang, D Cheng, A Shetty, P Rathi, N Katarki, A Bruno, J Hu, ... IEEE Micro 40 (3), 10-19, 2020 | 19 | 2020 |
Leveraging deep learning to improve performance predictability in cloud microservices with seer Y Gan, Y Zhang, K Hu, D Cheng, Y He, M Pancholi, C Delimitrou ACM SIGOPS Operating Systems Review 53 (1), 34-39, 2019 | 19* | 2019 |
Secure collaborative spectrum sensing: A peer-prediction method Y Gan, C Jiang, NC Beaulieu, J Wang, Y Ren IEEE Transactions on Communications 64 (10), 4283-4294, 2016 | 15 | 2016 |
Chase-sql: Multi-path reasoning and preference optimized candidate selection in text-to-sql M Pourreza, H Li, R Sun, Y Chung, S Talaei, GT Kakkar, Y Gan, A Saberi, ... arXiv preprint arXiv:2410.01943, 2024 | 9 | 2024 |
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 | 8 | 2023 |
Sleuth: A Trace-Based Root Cause Analysis System for Large-Scale Microservices with Graph Neural Networks Y Gan, G Liu, X Zhang, Q Zhou, J Wu, J Jiang Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 6 | 2023 |
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 | 4 | 2022 |
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 | 1 | 2022 |
EchoLM: Accelerating LLM Serving with Real-time Knowledge Distillation Y Yu, Y Gan, L Tasi, N Sarda, J Shen, Y Zhou, A Krishnamurthy, F Lai, ... arXiv preprint arXiv:2501.12689, 2025 | | 2025 |
Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL Y Chung, GT Kakkar, Y Gan, B Milne, F Ozcan arXiv preprint arXiv:2501.12372, 2025 | | 2025 |
CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases Y Chronis, Y Wang, Y Gan, S Abu-El-Haija, C Lin, C Binnig, F Özcan arXiv preprint arXiv:2408.16170, 2024 | | 2024 |
End-to-End Cloud Application Cloning With Ditto M Liang, Y Gan, Y Li, C Torres, A Dhanotia, M Ketkar, C Delimitrou IEEE Micro, 2024 | | 2024 |
Designing and Managing Large-Scale Interactive Microservices in Datacenters Y Gan Cornell University, 2021 | | 2021 |