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ORCIDCristian Mateos
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Publications
- 2021
[j77]Yisel Gari
, David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino:
Reinforcement learning-based application Autoscaling in the Cloud: A survey. Eng. Appl. Artif. Intell. 102: 104288 (2021)- 2020
- [j74]Yisel Gari, David A. Monge, Cristian Mateos, Carlos García Garino:
Learning budget assignment policies for autoscaling scientific workflows in the cloud. Clust. Comput. 23(1): 87-105 (2020) - [j70]David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino:
CMI: An online multi-objective genetic autoscaler for scientific and engineering workflows in cloud infrastructures with unreliable virtual machines. J. Netw. Comput. Appl. 149 (2020) - [i2]Yisel Gari, David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino:
Reinforcement Learning-based Autoscaling of Workflows in the Cloud: A Survey. CoRR abs/2001.09957 (2020) - 2019
- [j61]Elina Pacini, Lucas Iacono, Cristian Mateos, Carlos García Garino:
A Bio-inspired Datacenter Selection Scheduler for Federated Clouds and Its Application to Frost Prediction. J. Netw. Syst. Manag. 27(3): 688-729 (2019) - 2018
- [j59]David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino:
Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances. Comput. Electr. Eng. 69: 364-377 (2018) - [i1]David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino:
CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines. CoRR abs/1811.00989 (2018) - 2017
- [j51]David A. Monge, Yisel Gari, Cristian Mateos, Carlos García Garino:
Autoscaling scientific workflows on the cloud by combining on-demand and spot instances. Comput. Syst. Sci. Eng. 32(4) (2017) - [c29]Yisel Gari, David A. Monge, Cristian Mateos, Carlos García Garino:
Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud. CARLA 2017: 353-369 - 2016
- [j44]Elina Pacini, Cristian Mateos, Carlos García Garino:
Multi-objective Swarm Intelligence schedulers for online scientific Clouds. Computing 98(5): 495-522 (2016) - [j43]Elina Pacini, Cristian Mateos, Carlos García Garino, Claudio Careglio, Anibal Mirasso:
A bio-inspired scheduler for minimizing makespan and flowtime of computational mechanics applications on federated clouds. J. Intell. Fuzzy Syst. 31(3): 1731-1743 (2016) - 2015
- [j40]Elina Pacini, Cristian Mateos, Carlos García Garino:
Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization (SP2013/2013/00006). Adv. Eng. Softw. 84: 31-47 (2015) - 2014
- [j31]Elina Pacini, Cristian Mateos, Carlos García Garino:
Distributed job scheduling based on Swarm Intelligence: A survey. Comput. Electr. Eng. 40(1): 252-269 (2014) - [j30]Elina Pacini, Cristian Mateos, Carlos García Garino:
Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments. CLEI Electron. J. 17(1) (2014) - [c19]Elina Pacini, Cristian Mateos, Carlos García Garino:
SI-Based Scheduling of Parameter Sweep Experiments on Federated Clouds. CARLA 2014: 28-42 - 2013
- [j26]Cristian Mateos, Elina Pacini, Carlos García Garino:
An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments. Adv. Eng. Softw. 56: 38-50 (2013) - [c16]Elina Pacini, Cristian Mateos, Carlos García Garino:
SI-based scheduling of scientific experiments on Clouds. IDAACS 2013: 699-704 - 2012
- [c14]Carlos García Garino, Cristian Mateos, Elina Pacini:
ACO-based dynamic job scheduling of parametric computational mechanics studies on Cloud Computing infrastructures. High Performance Computing Workshop (1) 2012: 103-122 - 2011
- [c7]Elina Pacini, Melisa Ribero, Cristian Mateos, Anibal Mirasso, Carlos García Garino:
Simulation on Cloud Computing Infrastructures of Parametric Studies of Nonlinear Solids Problems. ADNTIIC 2011: 58-70
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