Marco A. S. Netto

37 papers A 1B 2Journal 26Unranked 8
YearRankTypeTitle / Venue / Authors
2024 — conf
HPCAdvisor: A Tool for Assisting Users in Selecting HPC Resources in the Cloud.
SC Workshops
Marco A. S. Netto
2024 J jnl
HPCAdvisor: A Tool for Assisting Users in Selecting HPC Resources in the Cloud.
CoRR
Marco A. S. Netto
2024 J jnl
Simplifying HPC resource selection: A tool for optimizing execution time and cost on Azure.
CoRR
Marco A. S. Netto, Wolfgang De Savador, Davide Vanzo
2022 J jnl
Workflow provenance in the lifecycle of scientific machine learning.
Concurr. Comput. Pract. Exp.
Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto
2021 B conf
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds.
e-Science
Renato Luiz de Freitas Cunha, Lucas Correia Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto
2021 J jnl
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds.
CoRR
Renato Luiz de Freitas Cunha, Lucas Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto
2020 J jnl
New generation cloud computing.
Softw. Pract. Exp.
Blesson Varghese, Marco A. S. Netto, Ignacio Martín Llorente, Rajkumar Buyya
2020 J jnl
Workflow Provenance in the Lifecycle of Scientific Machine Learning.
CoRR
Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto
2019 J jnl
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade.
ACM Comput. Surv.
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen
2019 — conf
Efficient Runtime Capture of Multiworkflow Data Using Provenance.
eScience
Renan Souza, Marta Mattoso, Leonardo Azevedo, Raphael Thiago, Elton F. de Souza Soares, Marcelo Nery dos Santos, Marco A. S. Netto, Emilio Vital Brazil, Renato Cerqueira, Patrick Valduriez
2019 J jnl
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering.
CoRR
Renan Souza, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto
2018 — conf
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast.
eScience
Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto
2018 J jnl
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast.
CoRR
Igor Oliveira, Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto
2018 — conf
DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast.
eScience
Eduardo Rocha Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto
2018 J jnl
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast.
CoRR
Eduardo R. Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto
2018 J jnl
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges.
ACM Comput. Surv.
Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya
2018 J jnl
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications.
CoRR
Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha
2018 J jnl
JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications.
Future Gener. Comput. Syst.
Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha
2017 J jnl
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade.
CoRR
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen
2017 J jnl
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges.
CoRR
Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya
2017 J jnl
Job placement advisor based on turnaround predictions for HPC hybrid clouds.
Future Gener. Comput. Syst.
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto
2016 J jnl
Exploiting Workload Cycles for Orchestration of Virtual Machine Live Migrations in Clouds.
CoRR
Artur Baruchi, Edson T. Midorikawa, Liria M. Sato, Marco A. S. Netto
2016 — conf
Helping HPC Users Specify Job Memory Requirements via Machine Learning.
HUST@SC
Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs
2016 J jnl
Helping HPC Users Specify Job Memory Requirements via Machine Learning.
CoRR
Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs
2016 J jnl
Impact of user patience on auto-scaling resource capacity for cloud services.
Future Gener. Comput. Syst.
Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto, Renato Luiz de Freitas Cunha
2016 J jnl
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid Clouds.
CoRR
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto
2016 J jnl
Optimising resource costs of cloud computing for education.
Future Gener. Comput. Syst.
Fernando Koch, Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto
2016 J jnl
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments.
CoRR
Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha
2015 A conf
An SLA-Based Advisor for Placement of HPC Jobs on Hybrid Clouds.
ICSOC
Kiran Mantripragada, Leonardo P. Tizzei, Alécio Pedro Delazari Binotto, Marco A. S. Netto
2015 J jnl
An SLA-based Advisor for Placement of HPC Jobs on Hybrid Clouds.
CoRR
Kiran Mantripragada, Leonardo P. Tizzei, Alécio Pedro Delazari Binotto, Marco A. S. Netto
2015 J jnl
Big Data computing and clouds: Trends and future directions.
J. Parallel Distributed Comput.
Marcos Dias de Assunção, Rodrigo N. Calheiros, Silvia Bianchi, Marco A. S. Netto, Rajkumar Buyya
2015 J jnl
Deciding When and How to Move HPC Jobs to the Cloud.
Computer
Marco A. S. Netto, Renato Luiz de Freitas Cunha, Nicole Sultanum
2015 — conf
Optimizing Multi-tenant Cloud Resource Pools via Allocation of Reusable Time Slots.
GECON
Leonardo P. Tizzei, Marco A. S. Netto, Shu Tao
2015 B conf
Using Application Data for SLA-Aware Auto-scaling in Cloud Environments.
MASCOTS
Andre Abrantes D. P. Souza, Marco A. S. Netto
2015 J jnl
Using Application Data for SLA-aware Auto-scaling in Cloud Environments.
CoRR
Andre Abrantes D. P. Souza, Marco A. S. Netto
2010 — conf
OpenMP-based Parallel Algorithms for Solving Kronecker Descriptors.
SBAC-PAD (Workshops)
Antonio M. de Lima, Thais Webber, Marco A. S. Netto, Ricardo M. Czekster, César A. F. De Rose, Paulo Fernandes
2006 — conf
Message passing over windows-based desktop grids.
MGC@Middleware
Carlos Queiroz, Marco A. S. Netto, Rajkumar Buyya