| Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization (SP2013/2013/00006) E Pacini, C Mateos, CG Garino Advances in Engineering Software 84, 31-47, 2015 | 92 | 2015 |
| Distributed job scheduling based on Swarm Intelligence: A survey E Pacini, C Mateos, CG Garino Computers & Electrical Engineering 40 (1), 252-269, 2014 | 86 | 2014 |
| An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments C Mateos, E Pacini, CG Garino Advances in Engineering Software 56, 38-50, 2013 | 69 | 2013 |
| 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 | 67 | 2021 |
| Dynamic scheduling based on particle swarm optimization for cloud-based scientific experiments E Pacini, C Mateos, C García Garino CLEI Electronic Journal 17 (1), 3-3, 2014 | 46 | 2014 |
| 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, 1-17, 2020 | 29 | 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 | 24 | 2020 |
| Multi-objective Swarm Intelligence schedulers for online scientific Clouds E Pacini, C Mateos, CG Garino Computing 98 (5), 495-522, 2016 | 23 | 2016 |
| A bio-inspired scheduler for minimizing makespan and flowtime of computational mechanics applications on federated clouds E Pacini, C Mateos, CG Garino, C Careglio, A Mirasso Journal of Intelligent & Fuzzy Systems 31 (3), 1731-1743, 2016 | 19 | 2016 |
| 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 | 18 | 2018 |
| 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 | 17 | 2010 |
| 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 | 17 | 2010 |
| Schedulers based on ant colony optimization for parameter sweep experiments in distributed environments E Pacini, C Mateos, CG Garino Handbook of Research on Computational Intelligence for Engineering, Science …, 2013 | 16 | 2013 |
| A bio-inspired datacenter selection scheduler for federated clouds and its application to frost prediction E Pacini, L Iacono, C Mateos, C García Garino Journal of Network and Systems Management 27 (3), 688-729, 2019 | 14 | 2019 |
| Simulation on cloud computing infrastructures of parametric studies of nonlinear solids problems E Pacini, M Ribero, C Mateos, A Mirasso, CG Garino International Conference on Advances in New Technologies, Interactive …, 2011 | 11 | 2011 |
| Job scheduling of parametric computational mechanics studies on cloud computing infrastructures CG Garino, C Mateos, E Pacini International Advanced Research Workshop on High Performance Computing, Grid …, 2012 | 9 | 2012 |
| ITPN-PerfBound: A performance bound tool for interval Time Petri Nets E Pacini Naumovich, S Bernardi, M Gribaudo Tools and Algorithms for the Construction and Analysis of Systems: 15th …, 2009 | 9 | 2009 |
| Dynamic scheduling of scientific experiments on clouds using ant colony optimization E Pacini, C Mateos, C García Garino Third International Conference on Parallel, Distributed, Grid and Cloud …, 2013 | 7 | 2013 |
| Reinforcement learning-based autoscaling of workflows in the cloud: A survey Y Gari, DA Monge, E Pacini, C Mateos, CG Garino arXiv preprint arXiv:2001.09957, 2020 | 6 | 2020 |
| A three-level scheduler to execute scientific experiments on federated clouds E Pacini, C Mateos, CG Garino IEEE Latin America Transactions 13 (10), 3359-3369, 2015 | 6 | 2015 |
