| Controlling the number of active instances in a cloud environment D Goldsztajn, A Ferragut, F Paganini, M Jonckheere ACM SIGMETRICS Performance Evaluation Review 45 (3), 15-20, 2018 | 19 | 2018 |
| Proximal regularization for the saddle point gradient dynamics D Goldsztajn, F Paganini IEEE Transactions on Automatic Control 66 (9), 4385-4392, 2020 | 7 | 2020 |
| Feedback control of server instances for right sizing in the cloud D Goldsztajn, A Ferragut, F Paganini 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 7 | 2018 |
| Self-learning threshold-based load balancing D Goldsztajn, SC Borst, JSH Van Leeuwaarden, D Mukherjee, PA Whiting INFORMS Journal on Computing 34 (1), 39-54, 2022 | 6 | 2022 |
| An optimization approach to load balancing, scheduling and right sizing of cloud computing systems with data locality F Paganini, D Goldsztajn, A Ferragut 2019 IEEE 58th Conference on Decision and Control (CDC), 1114-1119, 2019 | 6 | 2019 |
| A feedback control approach to dynamic speed scaling in computing systems D Goldsztajn, A Ferragut, F Paganini 2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017 | 6 | 2017 |
| Automatic cloud instance provisioning with quality and efficiency D Goldsztajn, A Ferragut, F Paganini Performance Evaluation 149, 102209, 2021 | 4 | 2021 |
| Proximal optimization for resource allocation in distributed computing systems with data locality D Goldsztajn, F Paganini, A Ferragut 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 4 | 2019 |
| Learning and balancing unknown loads in large-scale systems D Goldsztajn, SC Borst, JSH van Leeuwaarden Mathematics of Operations Research, 2024 | 2 | 2024 |
| Utility maximizing load balancing policies D Goldsztajn, SC Borst, JSH van Leeuwaarden Stochastic Systems 13 (2), 211-246, 2023 | 2 | 2023 |
| Load balancing with sparse dynamic random graphs D Goldsztajn, SC Borst, JSH van Leeuwaarden arXiv preprint arXiv:2305.13054, 2023 | 2 | 2023 |
| Limit theorems for continuous time Markov chains and applications to large scale queueing systems D Goldsztajn UR. FC. CMAT, 2018 | 1 | 2018 |
| Asymptotically Optimal Policies for Weakly Coupled Markov Decision Processes D Goldsztajn, K Avrachenkov arXiv preprint arXiv:2406.04751, 2024 | | 2024 |
| Server saturation in skewed networks D Goldsztajn, SC Borst, JSH van Leeuwaarden Proceedings of the ACM on Measurement and Analysis of Computing Systems 8 (2 …, 2024 | | 2024 |
| Learning and balancing time-varying loads in large-scale systems. D Goldsztajn, SC Borst, JSH van Leeuwaarden CoRR, 2020 | | 2020 |
Fernando PaganiniUniversidad ORT Uruguay在 ort.edu.uy 的电子邮件经过验证
