| Workload Intelligence: Punching Holes Through the Cloud Abstraction L Huang, A Parayil, J Zhang, X Qin, C Bansal, J Stojkovic, P Zardoshti, ... arXiv preprint arXiv:2404.19143, 2024 | | 2024 |
| Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning L Wang, M Das, F Yang, J Sheng, B Qiao, H Dong, S Qin, V Rühle, ... arXiv preprint arXiv:2401.07033, 2024 | | 2024 |
| How different are the cloud workloads? characterizing large-scale private and public cloud workloads X Qin, M Ma, Y Zhao, J Zhang, C Du, Y Liu, A Parayil, C Bansal, ... 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023 | 3 | 2023 |
| Allocating cloud resources in accordance with predicted deployment growth S Zhou, JL Miller, C Cowdery, T Moscibroda, S Kemburu, Y Xu, QIN Si, ... US Patent 11,652,720, 2023 | | 2023 |
| Snape: Reliable and low-cost computing with mixture of spot and on-demand vms F Yang, L Wang, Z Xu, J Zhang, L Li, B Qiao, C Couturier, C Bansal, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 9 | 2023 |
| Virtual machine allocation with lifetime predictions H Barbalho, P Kovaleski, B Li, L Marshall, M Molinaro, A Pan, E Cortez, ... Proceedings of Machine Learning and Systems 5, 2023 | 6 | 2023 |
| Minimizing impact of migrating virtual services E Cortez, A Mani, MF Fontoura, NT Sheth, T Moscibroda, A Constantin US Patent 11,567,795, 2023 | 1 | 2023 |
| Method for deploying virtual machines in cloud computing systems based on predicted lifetime R Bianchini, E Cortez, MF Fontoura, A Bonde US Patent 11,455,193, 2022 | | 2022 |
| Spot virtual machine eviction prediction in microsoft cloud F Yang, B Pang, J Zhang, B Qiao, L Wang, C Couturier, C Bansal, S Ram, ... Companion Proceedings of the Web Conference 2022, 152-156, 2022 | 4 | 2022 |
| Infusing ML into VM Provisioning in Cloud R Yao, C Luo, B Qiao, Q Lin, T Tran, GL Shafriri, Y Dang, R Ghelman, ... 2021 IEEE/ACM International Workshop on Cloud Intelligence …, 2021 | 2 | 2021 |
| Minimizing impact of migrating virtual services E Cortez, A Mani, MF Fontoura, NT Sheth, T Moscibroda, A Constantin US Patent 10,977,068, 2021 | 22 | 2021 |
| Resource management for virtual machines in cloud computing systems R Bianchini, E Cortez, MF Fontoura, A Bonde US Patent 10,963,285, 2021 | 5 | 2021 |
| Toward ml-centric cloud platforms R Bianchini, M Fontoura, E Cortez, A Bonde, A Muzio, AM Constantin, ... Communications of the ACM 63 (2), 50-59, 2020 | 71 | 2020 |
| Prediction-Guided Design for Software Systems S Qin, Y Xu, S Zhou, Q Lin, H Zhang, S Agarwal, K Subramanian, ... | | 2020 |
| Method for deploying virtual machines in cloud computing systems based on predicted lifetime R Bianchini, E Cortez, MF Fontoura, A Bonde US Patent 10,423,455, 2019 | 16 | 2019 |
| Resource central: Understanding and predicting workloads for improved resource management in large cloud platforms E Cortez, A Bonde, A Muzio, M Russinovich, M Fontoura, R Bianchini Proceedings of the 26th Symposium on Operating Systems Principles, 153-167, 2017 | 680 | 2017 |
| ICE: Managing cold state for big data applications B Chandramouli, J Levandoski, E Cortez 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 457-468, 2016 | 3 | 2016 |
| Annotating database schemas to help enterprise search E Cortez, PA Bernstein, Y He, L Novik Proceedings of the VLDB Endowment 8 (12), 1936-1939, 2015 | 17 | 2015 |
| Unsupervised information extraction by text segmentation E Cortez, AS Da Silva Springer International Publishing, 2013 | 7 | 2013 |
| JUDIE E Cortez, AS da Silva, E Cortez, AS da Silva Unsupervised Information Extraction by Text Segmentation, 53-73, 2013 | | 2013 |
Altigran Soares da SilvaProfessor of Computer Science, Universidade Federal do Amazonas在 icomp.ufam.edu.br 的电子邮件经过验证
