| Faaster, better, cheaper: The prospect of serverless scientific computing and hpc J Spillner, C Mateos, DA Monge High Performance Computing: 4th Latin American Conference, CARLA 2017 …, 2018 | 118 | 2018 |
| Reinforcement learning-based application autoscaling in the cloud: A survey Y Garí, DA Monge, E Pacini, C Mateos, CG Garino Engineering Applications of Artificial Intelligence 102, 104288, 2021 | 87 | 2021 |
| A Comparative Analysis of NSGA‐II and NSGA‐III for Autoscaling Parameter Sweep Experiments in the Cloud V Yannibelli, E Pacini, D Monge, C Mateos, G Rodriguez Scientific Programming 2020 (1), 4653204, 2020 | 32 | 2020 |
| CMI: An online multi-objective genetic autoscaler for scientific and engineering workflows in cloud infrastructures with unreliable virtual machines DA Monge, E Pacini, C Mateos, E Alba, CG Garino Journal of Network and Computer Applications 149, 102464, 2020 | 27 | 2020 |
| Ensemble learning of runtime prediction models for gene-expression analysis workflows DA Monge, M Holec, F Železný, CG Garino Cluster Computing 18, 1317-1329, 2015 | 24 | 2015 |
| Sensibilidad de resultados del ensayo de tracción simple frente a diferentes tamaños y tipos de imperfecciones C Careglio, D Monge, E Pacini, C Mateos, A Mirasso, CG Garino Mecánica Computacional 29 (41), 4181-4197, 2010 | 20 | 2010 |
| Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances DA Monge, E Pacini, C Mateos, CG Garino Computers & Electrical Engineering 69, 364-377, 2018 | 19 | 2018 |
| Autoscaling Scientific Workflows on the Cloud by Combining On-demand and Spot Instances. DA Monge, Y Garí, C Mateos, CG Garino Computer Systems Science & Engineering 32 (4), 2017 | 19 | 2017 |
| Learning budget assignment policies for autoscaling scientific workflows in the cloud Y Garí, DA Monge, C Mateos, C García Garino Cluster Computing 23, 87-105, 2020 | 14 | 2020 |
| Adaptive spot-instances aware autoscaling for scientific workflows on the cloud DA Monge, C García Garino High Performance Computing: First HPCLATAM-CLCAR Latin American Joint …, 2014 | 12 | 2014 |
| A Q-learning approach for the autoscaling of scientific workflows in the cloud Y Garí, DA Monge, C Mateos Future Generation Computer Systems 127, 168-180, 2022 | 11 | 2022 |
| A performance comparison of data-aware heuristics for scheduling jobs in mobile grids M Hirsch, C Mateos, JM Rodriguez, A Zunino, Y Garí, DA Monge 2017 XLIII Latin American Computer Conference (CLEI), 1-8, 2017 | 11 | 2017 |
| Ensemble learning of run-time prediction models for data-intensive scientific workflows DA Monge, M Holec, F Z̆elezný, C García Garino High Performance Computing: First HPCLATAM-CLCAR Latin American Joint …, 2014 | 8 | 2014 |
| A performance prediction module for workflow scheduling DA Monge, J Bělohradský, C García Garino, F Železný IV High-Performance Computing Symposium (HPC 2011)(XL JAIIO, Córdoba, 31 de …, 2011 | 7 | 2011 |
| Markov decision process to dynamically adapt spots instances ratio on the autoscaling of scientific workflows in the cloud Y Garí, DA Monge, C Mateos, C García Garino High Performance Computing: 4th Latin American Conference, CARLA 2017 …, 2018 | 6 | 2018 |
| Improving Workflows Execution on DAGMan by a Perfomance-driven Scheduling Tool DA Monge, C García Garino High-Performance Computing Symposium (HPC 2010)-JAIIO 39 (UADE, 30 de agosto …, 2010 | 5 | 2010 |
| Logos: Enabling local resource managers for the efficient support of data-intensive workflows within grid sites DA Monge, CG Garino Computing and Informatics 33 (1), 109-130, 2014 | 4 | 2014 |
| Computational mechanics software as a service project C García Garino, ER Pacini Naumovich, DA Monge Bosdari, CA Careglio, ... ISTEC, 2013 | 4 | 2013 |
| Estudios paramétricos de mecánica de sólidos en entornos de computación distribuida C Catania, C Careglio, D Monge, P Martinez, A Mirasso, CG Garino Mecánica Computacional, 1063-1084, 2008 | 3 | 2008 |
| An NSGA-III-Based Multi-objective Intelligent Autoscaler for Executing Engineering Applications in Cloud Infrastructures V Yannibelli, E Pacini, D Monge, C Mateos, G Rodriguez Advances in Soft Computing: 19th Mexican International Conference on …, 2020 | 2 | 2020 |
