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ORCIDElina Pacini
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- affiliation: National University of Cuyo (UNCUYO), Faculty of Engineering, Mendoza, Argentina
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2020 – today
- 2024
[j12]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)- 2021
- [j11]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) - [c8]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: 383-400 - 2020
- [j10]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) - [j9]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: 4653204:1-4653204:17 (2020) - [c7]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: 249-263 - [i2]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
- 2019
- [j8]Elina Pacini, Lucas Iacono, Cristian Mateos, Carlos García Garino:
A Bio-inspired Datacenter Selection Scheduler for Federated Clouds and Its Application to Frost Prediction. J. Netw. Syst. Manag. 27(3): 688-729 (2019) - 2018
- [j7]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: 364-377 (2018) - [i1]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 abs/1811.00989 (2018) - 2016
- [j6]Elina Pacini, Cristian Mateos, Carlos García Garino:
Multi-objective Swarm Intelligence schedulers for online scientific Clouds. Computing 98(5): 495-522 (2016) - [j5]Elina Pacini, Cristian Mateos, Carlos García Garino, Claudio Careglio, Anibal Mirasso:
A bio-inspired scheduler for minimizing makespan and flowtime of computational mechanics applications on federated clouds. J. Intell. Fuzzy Syst. 31(3): 1731-1743 (2016) - 2015
- [j4]Elina Pacini, Cristian Mateos, Carlos García Garino:
Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization (SP2013/2013/00006). Adv. Eng. Softw. 84: 31-47 (2015) - 2014
- [j3]Elina Pacini, Cristian Mateos, Carlos García Garino:
Distributed job scheduling based on Swarm Intelligence: A survey. Comput. Electr. Eng. 40(1): 252-269 (2014) - [j2]Elina Pacini, Cristian Mateos, Carlos García Garino:
Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments. CLEI Electron. J. 17(1) (2014) - [c6]Elina Pacini, Cristian Mateos, Carlos García Garino:
SI-Based Scheduling of Parameter Sweep Experiments on Federated Clouds. CARLA 2014: 28-42 - 2013
- [j1]Cristian Mateos, Elina Pacini, Carlos García Garino:
An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments. Adv. Eng. Softw. 56: 38-50 (2013) - [c5]Elina Pacini, Cristian Mateos, Carlos García Garino:
SI-based scheduling of scientific experiments on Clouds. IDAACS 2013: 699-704 - 2012
- [c4]Carlos García Garino, Cristian Mateos, Elina Pacini:
ACO-based dynamic job scheduling of parametric computational mechanics studies on Cloud Computing infrastructures. High Performance Computing Workshop (1) 2012: 103-122 - 2011
- [c3]Elina Pacini, Melisa Ribero, Cristian Mateos, Anibal Mirasso, Carlos García Garino:
Simulation on Cloud Computing Infrastructures of Parametric Studies of Nonlinear Solids Problems. ADNTIIC 2011: 58-70
2000 – 2009
- 2009
- [c2]Elina Pacini Naumovich, Simona Bernardi:
Integrating TPNs and Performance Bound Techniques in ITPN-PerfBound: A New Import Functionality. QEST 2009: 285-286 - [c1]Elina Pacini Naumovich, Simona Bernardi, Marco Gribaudo:
ITPN-PerfBound: A Performance Bound Tool for Interval Time Petri Nets. TACAS 2009: 50-53
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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