Beowulf Performance in CFD Multigrid Applications. - Carlos García Garino; Rubén S. Montero; Manuel Prieto 001; Ignacio Martín Llorente; Francisco Tirado (PDP, 2002)

Network traffic pattern recognition based on genetic algorithms. - Carlos Adrián Catania; Carlos García Garino (Inteligencia Artif., 2008)

Simulation on Cloud Computing Infrastructures of Parametric Studies of Nonlinear Solids Problems. - Elina Pacini; Melisa Ribero; Cristian Mateos; Anibal Mirasso; Carlos García Garino (ADNTIIC, 2011)

An Architecture for Resource Behavior Prediction to Improve Scheduling Systems Performance on Enterprise Desktop Grids. - Sergio Ariel Salinas; Carlos García Garino; Alejandro Zunino (ADNTIIC, 2011)

Template-based semi-automatic workflow construction for gene expression data analysis. - Jiri Belohradsky; David A. Monge; Filip Zelezný; Matej Holec; Carlos García Garino (CBMS, 2011)

ACO-based dynamic job scheduling of parametric computational mechanics studies on Cloud Computing infrastructures. - Carlos García Garino; Cristian Mateos; Elina Pacini (High Performance Computing Workshop (1), 2012)

Automatic network intrusion detection: Current techniques and open issues. - Carlos Adrián Catania; Carlos García Garino (Comput. Electr. Eng., 2012)

An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection. - Carlos Adrián Catania; Facundo Bromberg; Carlos García Garino (Expert Syst. Appl., 2012)

Towards reducing human effort in network intrusion detection. - Carlos Adrián Catania; Carlos García Garino (IDAACS, 2013)

SI-based scheduling of scientific experiments on Clouds. - Elina Pacini; Cristian Mateos; Carlos García Garino (IDAACS, 2013)

An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments. - Cristian Mateos; Elina Pacini; Carlos García Garino (Adv. Eng. Softw., 2013)

Numerical simulation of finite strain viscoplastic problems. - Carlos García Garino; M. S. Ribero Vairo; S. Andía Fagés; Anibal Mirasso; Jean-Philippe Ponthot (J. Comput. Appl. Math., 2013)

A Model to Calculate Amazon EC2 Instance Performance in Frost Prediction Applications. - Lucas Iacono; José Luis Vázquez-Poletti; Carlos García Garino; Ignacio Martín Llorente (CARLA, 2014)

Adaptive Spot-Instances Aware Autoscaling for Scientific Workflows on the Cloud. - David A. Monge; Carlos García Garino (CARLA, 2014)

Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows. - David A. Monge; Matej Holec; Filip Zelezný; Carlos García Garino (CARLA, 2014)

SI-Based Scheduling of Parameter Sweep Experiments on Federated Clouds. - Elina Pacini; Cristian Mateos; Carlos García Garino (CARLA, 2014)

LOGOS: Enabling Local Resource Managers for the Efficient Support of Data-Intensive Workflows within Grid Sites. - David A. Monge; Carlos García Garino (Comput. Informatics, 2014)

PFS: A Productivity Forecasting System for Desktop Computers to Improve Grid Applications Performance in Enterprise Desktop Grid. - Sergio Ariel Salinas; Carlos García Garino; Alejandro Zunino (Comput. Informatics, 2014)

Distributed job scheduling based on Swarm Intelligence: A survey. - Elina Pacini; Cristian Mateos; Carlos García Garino (Comput. Electr. Eng., 2014)

Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments. - Elina Pacini; Cristian Mateos; Carlos García Garino (CLEI Electron. J., 2014)

Preface to HPCLatAm 2013 Special Issue. - A. Marcela Printista; Carlos García Garino (CLEI Electron. J., 2014)

Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization (SP2013/2013/00006). - Elina Pacini; Cristian Mateos; Carlos García Garino (Adv. Eng. Softw., 2015)

Performance analysis of Cellular Automata HPC implementations. - Emmanuel N. Millán; Carlos S. Bederián; María Fabiana Piccoli; Carlos García Garino; Eduardo M. Bringa (Comput. Electr. Eng., 2015)

Ensemble learning of runtime prediction models for gene-expression analysis workflows. - David A. Monge; Matej Holec; Filip Zelezný; Carlos García Garino (Clust. Comput., 2015)

Monte Carlo simulations of settlement dynamics in GPUs. - Emmanuel N. Millán; Silvana B. Goirán; María Fabiana Piccoli; Carlos García Garino; Julieta N. Aranibar; Eduardo M. Bringa (Clust. Comput., 2016)

Multi-objective Swarm Intelligence schedulers for online scientific Clouds. - Elina Pacini; Cristian Mateos; Carlos García Garino (Computing, 2016)

Monte Carlo model framework to simulate settlement dynamics. - Emmanuel N. Millán; Silvana B. Goirán; Leonardo Forconesi; Julieta N. Aranibar; Carlos García Garino; Eduardo M. Bringa (Ecol. Informatics, 2016)

A bio-inspired scheduler for minimizing makespan and flowtime of computational mechanics applications on federated clouds. - Elina Pacini; Cristian Mateos; Carlos García Garino; Claudio Careglio; Anibal Mirasso (J. Intell. Fuzzy Syst., 2016)

Observer Effect: How Intercepting HTTPS Traffic Forces Malware to Change Their Behavior. - María José Erquiaga; Sebastián García; Carlos García Garino (CACIC, 2017)

Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud. - Yisel Gari; David A. Monge; Cristian Mateos; Carlos García Garino (CARLA, 2017)

Performance analysis and comparison of cellular automata GPU implementations. - Emmanuel N. Millán; Nicolás Wolovick; María Fabiana Piccoli; Carlos García Garino; Eduardo M. Bringa (Clust. Comput., 2017)

Autoscaling scientific workflows on the cloud by combining on-demand and spot instances. - David A. Monge; Yisel Gari; Cristian Mateos; Carlos García Garino (Comput. Syst. Sci. Eng., 2017)

A Nomadic Testbed for Teaching Computer Architecture. - Pablo D. Godoy; Carlos G. García Garino; Ricardo L. Cayssials (CACIC, 2018)

Analysis of Botnet behavior as a Distributed System. - María José Erquiaga; Sebastián García; Carlos García Garino (SSN, 2018)

Performance Models for Frost Prediction in Public Cloud Infrastructures. - Lucas Iacono; José Luis Vázquez-Poletti; Carlos García Garino; Ignacio Martín Llorente (Comput. Informatics, 2018)

Communication channel occupation and congestion in wireless sensor networks. - Pablo D. Godoy; Ricardo Cayssials; Carlos García Garino (Comput. Electr. Eng., 2018)

Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances. - David A. Monge; Elina Pacini; Cristian Mateos; Carlos García Garino (Comput. Electr. Eng., 2018)

Geost Botnet. Operational Security Failures of a New Android Banking Threat. - Sebastián García; María José Erquiaga; Anna Shirokova; Carlos García Garino (EuroS&P Workshops, 2019)

A Bio-inspired Datacenter Selection Scheduler for Federated Clouds and Its Application to Frost Prediction. - Elina Pacini; Lucas Iacono; Cristian Mateos; Carlos García Garino (J. Netw. Syst. Manag., 2019)

Learning budget assignment policies for autoscaling scientific workflows in the cloud. - Yisel Gari; David A. Monge; Cristian Mateos; Carlos García Garino (Clust. Comput., 2020)

Reinforcement Learning-based Autoscaling of Workflows in the Cloud: A Survey. - Yisel Gari; David A. Monge; Elina Pacini; Cristian Mateos; Carlos García Garino (CoRR, 2020)

CMI: An online multi-objective genetic autoscaler for scientific and engineering workflows in cloud infrastructures with unreliable virtual machines. - David A. Monge; Elina Pacini; Cristian Mateos; Enrique Alba 001; Carlos García Garino (J. Netw. Comput. Appl., 2020)

Reinforcement learning-based application Autoscaling in the Cloud: A survey. - Yisel Gari; David A. Monge; Elina Pacini; Cristian Mateos; Carlos García Garino (Eng. Appl. Artif. Intell., 2021)