| Mercury: Hybrid centralized and distributed scheduling in large shared clusters K Karanasos, S Rao, C Curino, C Douglas, K Chaliparambil, ... 2015 USENIX Annual Technical Conference (USENIX ATC 15), 485-497, 2015 | 240 | 2015 |
| {History-Based} harvesting of spare cycles and storage in {Large-Scale} datacenters Y Zhang, G Prekas, GM Fumarola, M Fontoura, I Goiri, R Bianchini 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2016 | 115 | 2016 |
| Hydra: a federated resource manager for data-center scale analytics C Curino, S Krishnan, K Karanasos, S Rao, GM Fumarola, B Huang, ... 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2019 | 82 | 2019 |
| Towards geo-distributed machine learning I Cano, M Weimer, D Mahajan, C Curino, GM Fumarola arXiv preprint arXiv:1603.09035, 2016 | 65 | 2016 |
| Preemption-aware planning on big-data systems M Rabozzi, M Mazzucchelli, R Cordone, GM Fumarola, MD Santambrogio ACM SIGPLAN Notices 51 (8), 1-2, 2016 | | 2016 |
| YARN++: distributed scheduling and opportunistic resource utilization in Hadoop G FUMAROLA Italy, 2014 | | 2014 |
