David A. Monge

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 16

Top Topics

Ensemble Learning

Scientific Workflows

Optimization Algorithm

Markov Decision Process

Top Venues

Future Gener. Comput. Syst.

Publications

Yisel Gari, Elina Pacini, Luciano Robino, Cristian Mateos, David A. Monge
Online RL-based cloud autoscaling for scientific workflows: Evaluation of Q-Learning and SARSA. Future Gener. Comput. Syst. 157 (2024)
Yisel Gari, David A. Monge, Cristian Mateos
A Q-learning approach for the autoscaling of scientific workflows in the Cloud. Future Gener. Comput. Syst. 127 (2022)
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)
Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodríguez
Endowing the MIA Cloud Autoscaler with Adaptive Evolutionary and Particle Swarm Multi-Objective Optimization Algorithms. MICAI (1) (2021)
Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodríguez
A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud. Sci. Program. 2020 (2020)
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)
Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodríguez
An NSGA-III-Based Multi-objective Intelligent Autoscaler for Executing Engineering Applications in Cloud Infrastructures. MICAI (1) (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)
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)
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)
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)
Josef Spillner, Cristian Mateos, David A. Monge
FaaSter, Better, Cheaper: The Prospect of Serverless Scientific Computing and HPC. CARLA (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)
Matías Hirsch, Cristian Mateos, Juan Manuel Rodriguez, Alejandro Zunino, Yisel Gari, David A. Monge
A performance comparison of data-aware heuristics for scheduling jobs in mobile grids. CLEI (2017)
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)
David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino
Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows. CARLA (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)
David A. Monge, Carlos García Garino
Adaptive Spot-Instances Aware Autoscaling for Scientific Workflows on the Cloud. CARLA (2014)
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)