Marco A. S. Netto

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 25

Top Topics

Cloud Computing

Weather Forecast

Top Venues

Future Gener. Comput. Syst.

ACM Comput. Surv.

Publications

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
Workflow provenance in the lifecycle of scientific machine learning. Concurr. Comput. Pract. Exp. 34 (14) (2022)
Renato Luiz de Freitas Cunha, Lucas Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds. CoRR (2021)
Renato Luiz de Freitas Cunha, Lucas Correia Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds. e-Science (2021)
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
Workflow Provenance in the Lifecycle of Scientific Machine Learning. CoRR (2020)
Blesson Varghese, Marco A. S. Netto, Ignacio Martín Llorente, Rajkumar Buyya
New generation cloud computing. Softw. Pract. Exp. 50 (6) (2020)
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
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. ACM Comput. Surv. 51 (5) (2019)
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
Efficient Runtime Capture of Multiworkflow Data Using Provenance. eScience (2019)
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
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. CoRR (2019)
Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha
JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications. Future Gener. Comput. Syst. 83 (2018)
Igor Oliveira, Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast. CoRR (2018)
Eduardo Rocha Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto
DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast. eScience (2018)
Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications. CoRR (2018)
Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast. eScience (2018)
Eduardo R. Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast. CoRR (2018)
Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges. ACM Comput. Surv. 51 (1) (2018)
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto
Job placement advisor based on turnaround predictions for HPC hybrid clouds. Future Gener. Comput. Syst. 67 (2017)
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
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. CoRR (2017)
Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges. CoRR (2017)
Artur Baruchi, Edson T. Midorikawa, Liria M. Sato, Marco A. S. Netto
Exploiting Workload Cycles for Orchestration of Virtual Machine Live Migrations in Clouds. CoRR (2016)
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid Clouds. CoRR (2016)
Fernando Koch, Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto
Optimising resource costs of cloud computing for education. Future Gener. Comput. Syst. 55 (2016)
Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs
Helping HPC Users Specify Job Memory Requirements via Machine Learning. HUST@SC (2016)
Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs
Helping HPC Users Specify Job Memory Requirements via Machine Learning. CoRR (2016)
Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments. CoRR (2016)
Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto, Renato Luiz de Freitas Cunha
Impact of user patience on auto-scaling resource capacity for cloud services. Future Gener. Comput. Syst. 55 (2016)
Leonardo P. Tizzei, Marco A. S. Netto, Shu Tao
Optimizing Multi-tenant Cloud Resource Pools via Allocation of Reusable Time Slots. GECON (2015)
Andre Abrantes D. P. Souza, Marco A. S. Netto
Using Application Data for SLA-aware Auto-scaling in Cloud Environments. CoRR (2015)
Kiran Mantripragada, Leonardo P. Tizzei, Alécio Pedro Delazari Binotto, Marco A. S. Netto
An SLA-based Advisor for Placement of HPC Jobs on Hybrid Clouds. CoRR (2015)
Marco A. S. Netto, Renato Luiz de Freitas Cunha, Nicole Sultanum
Deciding When and How to Move HPC Jobs to the Cloud. Computer 48 (11) (2015)
Kiran Mantripragada, Leonardo P. Tizzei, Alécio Pedro Delazari Binotto, Marco A. S. Netto
An SLA-Based Advisor for Placement of HPC Jobs on Hybrid Clouds. ICSOC (2015)
Marcos Dias de Assunção, Rodrigo N. Calheiros, Silvia Bianchi, Marco A. S. Netto, Rajkumar Buyya
Big Data computing and clouds: Trends and future directions. J. Parallel Distributed Comput. (2015)
Andre Abrantes D. P. Souza, Marco A. S. Netto
Using Application Data for SLA-Aware Auto-scaling in Cloud Environments. MASCOTS (2015)
Antonio M. de Lima, Thais Webber, Marco A. S. Netto, Ricardo M. Czekster, César A. F. De Rose, Paulo Fernandes
OpenMP-based Parallel Algorithms for Solving Kronecker Descriptors. SBAC-PAD (Workshops) (2010)
Carlos Queiroz, Marco A. S. Netto, Rajkumar Buyya
Message passing over windows-based desktop grids. MGC@Middleware (2006)