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 (CARLA, 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 (CLEI, 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)

Learning budget assignment policies for autoscaling scientific workflows in the cloud. - Yisel Gari; David A. Monge; Cristian Mateos; Carlos García Garino (Clust. Comput., 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)

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)

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)

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)