Smoothed online optimization with unreliable predictions D Rutten, N Christianson, D Mukherjee, A Wierman Proceedings of the ACM on Measurement and Analysis of Computing Systems 7 (1 …, 2023 | 21* | 2023 |
Load balancing under strict compatibility constraints D Rutten, D Mukherjee Mathematics of Operations Research 48 (1), 227-256, 2023 | 15 | 2023 |
Load balancing under strict compatibility constraints D Rutten, D Mukherjee Abstract Proceedings of the 2021 ACM SIGMETRICS/International Conference on …, 2021 | 9 | 2021 |
Mean-field Analysis for Load Balancing on Spatial Graphs D Rutten, D Mukherjee Abstract Proceedings of the 2023 ACM SIGMETRICS/International Conference on …, 2023 | 8 | 2023 |
Capacity scaling augmented with unreliable machine learning predictions D Rutten, D Mukherjee ACM SIGMETRICS Performance Evaluation Review 49 (2), 24-26, 2022 | 5 | 2022 |
A new approach to capacity scaling augmented with unreliable machine learning predictions D Rutten, D Mukherjee Mathematics of Operations Research 49 (1), 476-508, 2024 | 4 | 2024 |
Distributed rate scaling in large-scale service systems D Rutten, M Zubeldia, D Mukherjee ACM SIGMETRICS Performance Evaluation Review 51 (2), 21-23, 2023 | 1 | 2023 |
Distributed Speed Scaling in Large-Scale Service Systems D Rutten, M Zubeldia, D Mukherjee ACM SIGMETRICS Performance Evaluation Review 52 (1), 95-96, 2024 | | 2024 |
Modeling Rydberg gases using random sequential adsorption on random graphs D Rutten, J Sanders Physical Review A 103 (3), 033302, 2021 | | 2021 |
Semi-online algorithms for power-aware load balancing D Rutten, D Mukherjee, M de Berg, S Borst | | 2020 |
Random intersection graphs as a quantitative model for the Rydberg blockade effect D Rutten | | 2018 |