David A. Monge

According to our database, David A. Monge authored at least 19 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Online RL-based cloud autoscaling for scientific workflows: Evaluation of Q-Learning and SARSA.

Yisel Gari, Elina Pacini, Luciano Robino, Cristian Mateos, David A. Monge

Future Gener. Comput. Syst., 2024

2022

A Q-learning approach for the autoscaling of scientific workflows in the Cloud.

Yisel Gari, David A. Monge, Cristian Mateos

Future Gener. Comput. Syst., 2022

2021

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

Endowing the MIA Cloud Autoscaler with Adaptive Evolutionary and Particle Swarm Multi-Objective Optimization Algorithms.

Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodríguez

Proceedings of the Advances in Computational Intelligence, 2021

2020

A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud.

Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodríguez

Sci. Program., 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, Carlos García Garino

J. Netw. Comput. Appl., 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

Learning budget assignment policies for autoscaling scientific workflows in the cloud.

Yisel Gari, David A. Monge, Cristian Mateos, Carlos García Garino

Clust. Comput., 2020

An NSGA-III-Based Multi-objective Intelligent Autoscaler for Executing Engineering Applications in Cloud Infrastructures.

Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodríguez

Proceedings of the Advances in Soft Computing, 2020

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

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 performance comparison of data-aware heuristics for scheduling jobs in mobile grids.

Matías Hirsch, Cristian Mateos, Juan Manuel Rodriguez, Alejandro Zunino, Yisel Gari, David A. Monge

Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

FaaSter, Better, Cheaper: The Prospect of Serverless Scientific Computing and HPC.

Josef Spillner, Cristian Mateos, David A. Monge

Proceedings of the High Performance Computing - 4th Latin American Conference, 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

Proceedings of the High Performance Computing - 4th Latin American Conference, 2017

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

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

Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows.

David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino

Proceedings of the High Performance Computing - First HPCLATAM, 2014

Adaptive Spot-Instances Aware Autoscaling for Scientific Workflows on the Cloud.

David A. Monge, Carlos García Garino

Proceedings of the High Performance Computing - First HPCLATAM, 2014

2011

Template-based semi-automatic workflow construction for gene expression data analysis.

Jiri Belohradsky, David A. Monge, Filip Zelezný, Matej Holec, Carlos García Garino

Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011