Carlos García Garino

44 papers B 1C 1Misc 1Journal 28Unranked 12
YearRankTypeTitle / Venue / Authors
2021 J jnl
Reinforcement learning-based application Autoscaling in the Cloud: A survey.
Eng. Appl. Artif. Intell.
Yisel Gari, David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino
2020 J jnl
CMI: An online multi-objective genetic autoscaler for scientific and engineering workflows in cloud infrastructures with unreliable virtual machines.
J. Netw. Comput. Appl.
David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino
2020 J jnl
Learning budget assignment policies for autoscaling scientific workflows in the cloud.
Clust. Comput.
Yisel Gari, David A. Monge, Cristian Mateos, Carlos García Garino
2020 J jnl
Reinforcement Learning-based Autoscaling of Workflows in the Cloud: A Survey.
CoRR
Yisel Gari, David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino
2019 J jnl
A Bio-inspired Datacenter Selection Scheduler for Federated Clouds and Its Application to Frost Prediction.
J. Netw. Syst. Manag.
Elina Pacini, Lucas Iacono, Cristian Mateos, Carlos García Garino
2019 — conf
Geost Botnet. Operational Security Failures of a New Android Banking Threat.
EuroS&P Workshops
Sebastián García, María José Erquiaga, Anna Shirokova, Carlos García Garino
2018 — conf
Analysis of Botnet behavior as a Distributed System.
SSN
María José Erquiaga, Sebastián García, Carlos García Garino
2018 J jnl
CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines.
CoRR
David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino
2018 J jnl
Communication channel occupation and congestion in wireless sensor networks.
Comput. Electr. Eng.
Pablo D. Godoy, Ricardo Cayssials, Carlos García Garino
2018 J jnl
Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances.
Comput. Electr. Eng.
David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino
2018 J jnl
Performance Models for Frost Prediction in Public Cloud Infrastructures.
Comput. Informatics
Lucas Iacono, José Luis Vázquez-Poletti, Carlos García Garino, Ignacio Martín Llorente
2017 J jnl
Autoscaling scientific workflows on the cloud by combining on-demand and spot instances.
Comput. Syst. Sci. Eng.
David A. Monge, Yisel Gari, Cristian Mateos, Carlos García Garino
2017 — conf
Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud.
CARLA
Yisel Gari, David A. Monge, Cristian Mateos, Carlos García Garino
2017 — conf
Observer Effect: How Intercepting HTTPS Traffic Forces Malware to Change Their Behavior.
CACIC
María José Erquiaga, Sebastián García, Carlos García Garino
2017 J jnl
Performance analysis and comparison of cellular automata GPU implementations.
Clust. Comput.
Emmanuel N. Millán, Nicolás Wolovick, María Fabiana Piccoli, Carlos García Garino, Eduardo M. Bringa
2016 J jnl
A bio-inspired scheduler for minimizing makespan and flowtime of computational mechanics applications on federated clouds.
J. Intell. Fuzzy Syst.
Elina Pacini, Cristian Mateos, Carlos García Garino, Claudio Careglio, Anibal Mirasso
2016 J jnl
Monte Carlo model framework to simulate settlement dynamics.
Ecol. Informatics
Emmanuel N. Millán, Silvana B. Goirán, Leonardo Forconesi, Julieta N. Aranibar, Carlos García Garino, Eduardo M. Bringa
2016 J jnl
Monte Carlo simulations of settlement dynamics in GPUs.
Clust. Comput.
Emmanuel N. Millán, Silvana B. Goirán, María Fabiana Piccoli, Carlos García Garino, Julieta N. Aranibar, Eduardo M. Bringa
2016 J jnl
Multi-objective Swarm Intelligence schedulers for online scientific Clouds.
Computing
Elina Pacini, Cristian Mateos, Carlos García Garino
2015 J jnl
Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization (SP2013/2013/00006).
Adv. Eng. Softw.
Elina Pacini, Cristian Mateos, Carlos García Garino
2015 J jnl
Ensemble learning of runtime prediction models for gene-expression analysis workflows.
Clust. Comput.
David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino
2015 J jnl
Performance analysis of Cellular Automata HPC implementations.
Comput. Electr. Eng.
Emmanuel N. Millán, Carlos S. Bederián, María Fabiana Piccoli, Carlos García Garino, Eduardo M. Bringa
2014 — conf
A Model to Calculate Amazon EC2 Instance Performance in Frost Prediction Applications.
CARLA
Lucas Iacono, José Luis Vázquez-Poletti, Carlos García Garino, Ignacio Martín Llorente
2014 — conf
Adaptive Spot-Instances Aware Autoscaling for Scientific Workflows on the Cloud.
CARLA
David A. Monge, Carlos García Garino
2014 J jnl
Distributed job scheduling based on Swarm Intelligence: A survey.
Comput. Electr. Eng.
Elina Pacini, Cristian Mateos, Carlos García Garino
2014 J jnl
Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments.
CLEI Electron. J.
Elina Pacini, Cristian Mateos, Carlos García Garino
2014 — conf
Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows.
CARLA
David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino
2014 — ed.
High Performance Computing - First HPCLATAM - CLCAR Latin American Joint Conference, CARLA 2014, Valparaiso, Chile, October 20-22, 2014. Proceedings
CARLA
Gonzalo Hernández, Carlos Jaime Barrios Hernández, Gilberto Díaz, Carlos García Garino, Sergio Nesmachnow, Tomás Pérez-Acle, Mario A. Storti, Mariano Vázquez
2014 J jnl
LOGOS: Enabling Local Resource Managers for the Efficient Support of Data-Intensive Workflows within Grid Sites.
Comput. Informatics
David A. Monge, Carlos García Garino
2014 J jnl
PFS: A Productivity Forecasting System for Desktop Computers to Improve Grid Applications Performance in Enterprise Desktop Grid.
Comput. Informatics
Sergio Ariel Salinas, Carlos García Garino, Alejandro Zunino
2014 J jnl
Preface to HPCLatAm 2013 Special Issue.
CLEI Electron. J.
A. Marcela Printista, Carlos García Garino
2014 — conf
SI-Based Scheduling of Parameter Sweep Experiments on Federated Clouds.
CARLA
Elina Pacini, Cristian Mateos, Carlos García Garino
2013 J jnl
An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments.
Adv. Eng. Softw.
Cristian Mateos, Elina Pacini, Carlos García Garino
2013 J jnl
Numerical simulation of finite strain viscoplastic problems.
J. Comput. Appl. Math.
Carlos García Garino, M. S. Ribero Vairo, S. Andía Fagés, Anibal Mirasso, Jean-Philippe Ponthot
2013 — conf
SI-based scheduling of scientific experiments on Clouds.
IDAACS
Elina Pacini, Cristian Mateos, Carlos García Garino
2013 — conf
Towards reducing human effort in network intrusion detection.
IDAACS
Carlos Adrián Catania, Carlos García Garino
2012 Misc conf
ACO-based dynamic job scheduling of parametric computational mechanics studies on Cloud Computing infrastructures.
High Performance Computing Workshop (1)
Carlos García Garino, Cristian Mateos, Elina Pacini
2012 J jnl
An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection.
Expert Syst. Appl.
Carlos Adrián Catania, Facundo Bromberg, Carlos García Garino
2012 J jnl
Automatic network intrusion detection: Current techniques and open issues.
Comput. Electr. Eng.
Carlos Adrián Catania, Carlos García Garino
2011 — conf
An Architecture for Resource Behavior Prediction to Improve Scheduling Systems Performance on Enterprise Desktop Grids.
ADNTIIC
Sergio Ariel Salinas, Carlos García Garino, Alejandro Zunino
2011 — conf
Simulation on Cloud Computing Infrastructures of Parametric Studies of Nonlinear Solids Problems.
ADNTIIC
Elina Pacini, Melisa Ribero, Cristian Mateos, Anibal Mirasso, Carlos García Garino
2011 B conf
Template-based semi-automatic workflow construction for gene expression data analysis.
CBMS
Jiri Belohradsky, David A. Monge, Filip Zelezný, Matej Holec, Carlos García Garino
2008 J jnl
Network traffic pattern recognition based on genetic algorithms.
Inteligencia Artif.
Carlos Adrián Catania, Carlos García Garino
2002 C conf
Beowulf Performance in CFD Multigrid Applications.
PDP
Carlos García Garino, Rubén S. Montero, Manuel Prieto, Ignacio Martín Llorente, Francisco Tirado