| 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 | 21 | 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 | 9 | 2022 |
| Proximal regularization for the saddle point gradient dynamics D Goldsztajn, F Paganini IEEE Transactions on Automatic Control 66 (9), 4385-4392, 2020 | 8 | 2020 |
| 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 | 8 | 2019 |
| 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 |
| 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 |
| Utility maximizing load balancing policies D Goldsztajn, SC Borst, JSH van Leeuwaarden Stochastic Systems 13 (2), 211-246, 2023 | 5 | 2023 |
| 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 | 5 | 2019 |
| Automatic cloud instance provisioning with quality and efficiency D Goldsztajn, A Ferragut, F Paganini Performance Evaluation 149, 102209, 2021 | 4 | 2021 |
| Learning and balancing unknown loads in large-scale systems D Goldsztajn, SC Borst, JSH van Leeuwaarden Mathematics of Operations Research, 2024 | 3 | 2024 |
| Load balancing with sparse dynamic random graphs D Goldsztajn, SC Borst, JSH van Leeuwaarden arXiv e-prints, arXiv: 2305.13054, 2023 | 3 | 2023 |
| Asymptotically optimal policies for weakly coupled Markov decision processes D Goldsztajn, K Avrachenkov arXiv preprint arXiv:2406.04751, 2024 | 2 | 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 | 2 | 2024 |
| Fluid limits and optimal task assignment policies for locally pooled service systems D Goldsztajn ACM SIGMETRICS Performance Evaluation Review 52 (3), 7-10, 2025 | 1 | 2025 |
| Fluid limits for interacting queues in sparse dynamic graphs D Goldsztajn, SC Borst, JSH van Leeuwaarden arXiv preprint arXiv:2305.13054, 2023 | 1 | 2023 |
| Limit theorems for continuous time markov chains and applications to large scale queueing systems D Goldsztajn Master’s thesis, Universidad de la República, Montevideo, Uruguay, 2018 | 1 | 2018 |
| Learning and balancing time-varying loads in large-scale systems. D Goldsztajn, SC Borst, JSH van Leeuwaarden CoRR, 2020 | | 2020 |
Fernando PaganiniUniversidad ORT UruguayVerified email at ort.edu.uy
