Carlos García Garino

Publication Activity (10 Years)

Years Active: 2002-2021
Publications (10 Years): 22

Top Topics

Cloud Computing

Scientific Workflows

Swarm Optimization

Network Intrusion

Top Venues

Comput. Electr. Eng.

Comput. Informatics

Publications

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 (2021)
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)
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) (2020)
Yisel Gari, David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino
Reinforcement Learning-based Autoscaling of Workflows in the Cloud: A Survey. CoRR (2020)
Sebastián García, María José Erquiaga, Anna Shirokova, Carlos García Garino
Geost Botnet. Operational Security Failures of a New Android Banking Threat. EuroS&P Workshops (2019)
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) (2019)
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 (2018)
Pablo D. Godoy, Ricardo Cayssials, Carlos García Garino
Communication channel occupation and congestion in wireless sensor networks. Comput. Electr. Eng. 72 (2018)
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 (2018)
María José Erquiaga, Sebastián García, Carlos García Garino
Analysis of Botnet behavior as a Distributed System. SSN (2018)
Lucas Iacono, José Luis Vázquez-Poletti, Carlos García Garino, Ignacio Martín Llorente
Performance Models for Frost Prediction in Public Cloud Infrastructures. Comput. Informatics 37 (4) (2018)
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)
María José Erquiaga, Sebastián García, Carlos García Garino
Observer Effect: How Intercepting HTTPS Traffic Forces Malware to Change Their Behavior. CACIC (2017)
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)
Emmanuel N. Millán, Nicolás Wolovick, María Fabiana Piccoli, Carlos García Garino, Eduardo M. Bringa
Performance analysis and comparison of cellular automata GPU implementations. Clust. Comput. 20 (3) (2017)
Elina Pacini, Cristian Mateos, Carlos García Garino
Multi-objective Swarm Intelligence schedulers for online scientific Clouds. Computing 98 (5) (2016)
Emmanuel N. Millán, Silvana B. Goirán, Leonardo Forconesi, Julieta N. Aranibar, Carlos García Garino, Eduardo M. Bringa
Monte Carlo model framework to simulate settlement dynamics. Ecol. Informatics 36 (2016)
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) (2016)
Emmanuel N. Millán, Silvana B. Goirán, María Fabiana Piccoli, Carlos García Garino, Julieta N. Aranibar, Eduardo M. Bringa
Monte Carlo simulations of settlement dynamics in GPUs. Clust. Comput. 19 (1) (2016)
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 (2015)
David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino
Ensemble learning of runtime prediction models for gene-expression analysis workflows. Clust. Comput. 18 (4) (2015)
Emmanuel N. Millán, Carlos S. Bederián, María Fabiana Piccoli, Carlos García Garino, Eduardo M. Bringa
Performance analysis of Cellular Automata HPC implementations. Comput. Electr. Eng. 48 (2015)
David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino
Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows. CARLA (2014)
A. Marcela Printista, Carlos García Garino
Preface to HPCLatAm 2013 Special Issue. CLEI Electron. J. 17 (1) (2014)
David A. Monge, Carlos García Garino
LOGOS: Enabling Local Resource Managers for the Efficient Support of Data-Intensive Workflows within Grid Sites. Comput. Informatics 33 (1) (2014)
Sergio Ariel Salinas, Carlos García Garino, Alejandro Zunino
PFS: A Productivity Forecasting System for Desktop Computers to Improve Grid Applications Performance in Enterprise Desktop Grid. Comput. Informatics 33 (4) (2014)
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)
Elina Pacini, Cristian Mateos, Carlos García Garino
Distributed job scheduling based on Swarm Intelligence: A survey. Comput. Electr. Eng. 40 (1) (2014)
David A. Monge, Carlos García Garino
Adaptive Spot-Instances Aware Autoscaling for Scientific Workflows on the Cloud. CARLA (2014)
Lucas Iacono, José Luis Vázquez-Poletti, Carlos García Garino, Ignacio Martín Llorente
A Model to Calculate Amazon EC2 Instance Performance in Frost Prediction Applications. CARLA (2014)
Elina Pacini, Cristian Mateos, Carlos García Garino
SI-Based Scheduling of Parameter Sweep Experiments on Federated Clouds. CARLA (2014)
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 (2013)
Carlos Catania, Carlos García Garino
Towards reducing human effort in network intrusion detection. IDAACS (2013)
Carlos García Garino, M. S. Ribero Vairo, S. Andía Fagés, Anibal Mirasso, Jean-Philippe Ponthot
Numerical simulation of finite strain viscoplastic problems. J. Comput. Appl. Math. 246 (2013)
Elina Pacini, Cristian Mateos, Carlos García Garino
SI-based scheduling of scientific experiments on Clouds. IDAACS (2013)
Carlos Catania, Facundo Bromberg, Carlos García Garino
An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection. Expert Syst. Appl. 39 (2) (2012)
Carlos Catania, Carlos García Garino
Automatic network intrusion detection: Current techniques and open issues. Comput. Electr. Eng. 38 (5) (2012)
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)
Sergio Ariel Salinas, Carlos García Garino, Alejandro Zunino
An Architecture for Resource Behavior Prediction to Improve Scheduling Systems Performance on Enterprise Desktop Grids. ADNTIIC (2011)
Jiri Belohradsky, David A. Monge, Filip Zelezný, Matej Holec, Carlos García Garino
Template-based semi-automatic workflow construction for gene expression data analysis. CBMS (2011)
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)
Carlos Catania, Carlos García Garino
Network traffic pattern recognition based on genetic algorithms. Inteligencia Artif. 12 (37) (2008)
Carlos García Garino, Rubén S. Montero, Manuel Prieto, Ignacio Martín Llorente, Francisco Tirado
Beowulf Performance in CFD Multigrid Applications. PDP (2002)