Get started
Author

David A. Monge

Observed names: David Monge, Monge Bosdari, David Antonio, Monge, David A.
ORCID: 0000-0001-6444-4610
Observed ORCID: 0000-0001-6444-4610
OpenAlex ID: A5045071041
Reinforcement learning-based application Autoscaling in the Cloud: A survey
2021 · Yisel Garí, David A. Monge, et al. · Engineering Applications of Artificial Intelligence · 131
PDF
FaaSter, Better, Cheaper: The Prospect of Serverless Scientific Computing and HPC
2017 · Josef Spillner, Cristian Mateos, et al. · Communications in computer and information science · 81
A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud
2020 · Virginia Yannibelli, Elina Pacini, et al. · Scientific Programming · 35
PDF
Online RL-based cloud autoscaling for scientific workflows: Evaluation of Q-Learning and SARSA
2024 · Yisel Garí, Elina Pacini, et al. · Future Generation Computer Systems · 32
A Q-learning approach for the autoscaling of scientific workflows in the Cloud
2021 · Yisel Garí, David A. Monge, et al. · Future Generation Computer Systems · 25
CMI: An online multi-objective genetic autoscaler for scientific and engineering workflows in cloud infrastructures with unreliable virtual machines
2019 · David A. Monge, Elina Pacini, et al. · Journal of Network and Computer Applications · 21
PDF
Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances
2017 · David A. Monge, Elina Pacini, et al. · Computers & Electrical Engineering · 17
Ensemble learning of runtime prediction models for gene-expression analysis workflows
2015 · David A. Monge, Matěj Holec, et al. · Cluster Computing · 14
Learning budget assignment policies for autoscaling scientific workflows in the cloud
2019 · Yisel Garí, David A. Monge, et al. · Cluster Computing · 12
A performance comparison of data-aware heuristics for scheduling jobs in mobile grids
2017 · Matías Hirsch, Cristian Mateos, et al. · Latin American Computer Conference (CLEI) · 11
Sensibilidad de Resultados del Ensayo de Tracción Simple frente a Diferentes Tamaños y Tipos de Imperfecciones
2010 · Claudio Careglio, David A. Monge, et al. · Mecánica Computacional (Asociación Argentina de Mecánica Computacional) · 10
PDF
Adaptive Spot-Instances Aware Autoscaling for Scientific Workflows on the Cloud
2014 · David A. Monge, Carlos García Garino · Communications in computer and information science · 9
Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud
2017 · Yisel Garí, David A. Monge, et al. · Communications in computer and information science · 5
A Performance Prediction Module for Workflow Scheduling
2011 · David A. Monge, Jiří Bělohradský, et al. · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · 5
PDF
Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows
2014 · David A. Monge, Matĕj Holec, et al. · Communications in computer and information science · 4
Reinforcement Learning initialization by evolutionary formulation: Application for workflow autoscaling in the Cloud
2025 · Luciano Robino, Yisel Garí, et al. · Engineering Applications of Artificial Intelligence · 3
Logos: Enabling Local Resource Managers for the Efficient Support of Data-intensive Workflows Within Grid Sites
2014 · David A. Monge, Carlos García Garino · 3
An In-depth Benchmarking of Evolutionary and Swarm Intelligence Algorithms for Autoscaling Parameter Sweep Applications on Public Clouds
2023 · Virginia Yannibelli, Elina Pacini, et al. · Scientific Programming · 2
PDF
Endowing the MIA Cloud Autoscaler with Adaptive Evolutionary and Particle Swarm Multi-Objective Optimization Algorithms
2021 · Virginia Yannibelli, Elina Pacini, et al. · Lecture notes in computer science · 2
An NSGA-III-Based Multi-objective Intelligent Autoscaler for Executing Engineering Applications in Cloud Infrastructures
2020 · Virginia Yannibelli, Elina Pacini, et al. · Lecture notes in computer science · 2
Computational Mechanics Software as a Service Project
2013 · García Garino, Carlos, Pacini Naumovich, Elina Rocío, et al. · Journal of Computer Science and Technology · 1
PDF
Estudios Paramétricos de Mecánica de Sólidos en Entornos de Computación Distribuida
2008 · Carlos Catania, Claudio Careglio, et al. · Mecánica Computacional (Asociación Argentina de Mecánica Computacional) · 1
Reinforcement Learning-based Cloud Autoscaler Initialization via Evolutionary Algorithms
2025 · Luciano Robino, Elina Pacini, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
Comparison between evolutionary algorithms and Reinforcement Learning for workflow autoscaling on Cloud
2025 · Robino, Luciano, Garí, Yisel, et al. · JAIIO, Jornadas Argentinas de Informática
PDF
Un prototipo de plataforma de ciudades inteligentes
2017 · Lucas Iacono, Elina Pacini, et al. · El Servicio de Difusión de la Creación Intelectual (National University of La Plata)
Works count: 31
Citation count: 429
H-index: 10
I10-index: 11
Year
Topic
Type