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Yisel Gari
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2020 – today
- 2024
- [j5]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: 573-586 (2024) - 2022
- [j4]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: 168-180 (2022) - 2021
- [j3]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
- [j2]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) - [i1]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
- 2017
- [j1]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) - [c2]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 - [c1]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: 1-8
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last updated on 2024-06-03 00:13 CEST by the dblp team
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