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2020 – today
- 2021
[j26]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
- [j25]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) - [j24]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)
2010 – 2019
- 2019
- [j23]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) - [c16]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: 406-409 - 2018
- [j22]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): 815-837 (2018) - [j21]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) - [j20]Pablo D. Godoy, Ricardo Cayssials, Carlos García Garino:
Communication channel occupation and congestion in wireless sensor networks. Comput. Electr. Eng. 72: 846-858 (2018) - [c15]Pablo D. Godoy, Carlos G. García Garino, Ricardo L. Cayssials:
A Nomadic Testbed for Teaching Computer Architecture. CACIC 2018: 74-87 - [c14]María José Erquiaga, Sebastián García, Carlos García Garino:
Analysis of Botnet behavior as a Distributed System. SSN 2018: 83-85 - [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
- [j19]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): 2763-2777 (2017) - [j18]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) - [c13]María José Erquiaga, Sebastián García, Carlos García Garino:
Observer Effect: How Intercepting HTTPS Traffic Forces Malware to Change Their Behavior. CACIC 2017: 272-281 - [c12]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
- [j17]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): 557-566 (2016) - [j16]Elina Pacini, Cristian Mateos, Carlos García Garino:
Multi-objective Swarm Intelligence schedulers for online scientific Clouds. Computing 98(5): 495-522 (2016) - [j15]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: 135-144 (2016) - [j14]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
- [j13]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) - [j12]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: 12-24 (2015) - [j11]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): 1317-1329 (2015) - 2014
- [j10]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): 109-130 (2014) - [j9]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): 783-809 (2014) - [j8]Elina Pacini, Cristian Mateos, Carlos García Garino:
Distributed job scheduling based on Swarm Intelligence: A survey. Comput. Electr. Eng. 40(1): 252-269 (2014) - [j7]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) - [j6]A. Marcela Printista, Carlos García Garino:
Preface to HPCLatAm 2013 Special Issue. CLEI Electron. J. 17(1) (2014) - [c11]David A. Monge, Carlos García Garino:
Adaptive Spot-Instances Aware Autoscaling for Scientific Workflows on the Cloud. CARLA 2014: 13-27 - [c10]Elina Pacini, Cristian Mateos, Carlos García Garino:
SI-Based Scheduling of Parameter Sweep Experiments on Federated Clouds. CARLA 2014: 28-42 - [c9]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: 68-82 - [c8]David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino:
Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows. CARLA 2014: 83-97 - [e1]Gonzalo Hernández, Carlos Jaime Barrios Hernández, Gilberto Díaz, Carlos García Garino, Sergio Nesmachnow, Tomás Pérez-Acle, Mario A. Storti, Mariano Vázquez:
High Performance Computing - First HPCLATAM - CLCAR Latin American Joint Conference, CARLA 2014, Valparaiso, Chile, October 20-22, 2014. Proceedings. Communications in Computer and Information Science 485, Springer 2014, ISBN 978-3-662-45482-4 [contents] - 2013
- [j5]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) - [j4]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: 174-184 (2013) - [c7]Carlos Adrián Catania, Carlos García Garino:
Towards reducing human effort in network intrusion detection. IDAACS 2013: 655-660 - [c6]Elina Pacini, Cristian Mateos, Carlos García Garino:
SI-based scheduling of scientific experiments on Clouds. IDAACS 2013: 699-704 - 2012
- [j3]Carlos Adrián Catania, Carlos García Garino:
Automatic network intrusion detection: Current techniques and open issues. Comput. Electr. Eng. 38(5): 1062-1072 (2012) - [j2]Carlos Adrián 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): 1822-1829 (2012) - [c5]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
- [c4]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 - [c3]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: 186-196 - [c2]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: 1-6
2000 – 2009
- 2008
- [j1]Carlos Adrián Catania, Carlos García Garino:
Network traffic pattern recognition based on genetic algorithms. Inteligencia Artif. 12(37): 65-75 (2008) - 2002
- [c1]Carlos García Garino, Rubén S. Montero, Manuel Prieto, Ignacio Martín Llorente, Francisco Tirado:
Beowulf Performance in CFD Multigrid Applications. PDP 2002: 7-14
Coauthor Index
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