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Renato Luiz de Freitas Cunha
Renato Luiz de Freitas Cunha
Software Engineer, Microsoft Research
Verified email at acm.org - Homepage
Title
Cited by
Cited by
Year
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges
MAS Netto, RN Calheiros, ER Rodrigues, RLF Cunha, R Buyya
ACM Computing Surveys (CSUR) 51 (1), 2018
2122018
DeepDownscale: A deep learning strategy for high-resolution weather forecast
ER Rodrigues, I Oliveira, R Cunha, M Netto
2018 IEEE 14th International Conference on e-Science (e-Science), 415-422, 2018
1112018
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
RLF Cunha, B Silva, MAS Netto
2018 IEEE 14th International Conference on e-Science (e-Science), 423-430, 2018
982018
Evaluating auto-scaling strategies for cloud computing environments
MAS Netto, C Cardonha, RLF Cunha, MD Assunçao
2014 IEEE 22nd International Symposium on Modelling, Analysis & Simulation …, 2014
942014
Job placement advisor based on turnaround predictions for HPC hybrid clouds
RLF Cunha, ER Rodrigues, LP Tizzei, MAS Netto
Future Generation Computer Systems 67, 35-46, 2017
472017
Impact of user patience on auto-scaling resource capacity for cloud services
MD De Assuncao, CH Cardonha, MAS Netto, RLF Cunha
Future Generation Computer Systems 55, 41-50, 2016
452016
Helping HPC users specify job memory requirements via machine learning
ER Rodrigues, RLF Cunha, MAS Netto, M Spriggs
2016 Third International Workshop on HPC User Support Tools (HUST), 6-13, 2016
422016
Temporally evolving community detection and prediction in content-centric networks
AP Appel, RLF Cunha, CC Aggarwal, MM Terakado
ECML PKDD 2018, 1-16, 2018
272018
User interface and system supporting user decision making and readjustments in computer-executable job allocations in the cloud
MAS Netto, NB Sultanum, RLF Cunha
US Patent 10,067,798, 2018
252018
Hybrid cloud operation planning and optimization
APD Binotto, RLDF Cunha, ER Rodrigues
US Patent 10,929,792, 2021
202021
Auto-scaling thresholds in elastic computing environments
CH Cardonha, MD de Assuncao, RL de Freitas Cunha, MAS Netto
US Patent 9,513,935, 2016
182016
Estimating crop yields with remote sensing and deep learning
RL de Freitas Cunha, B Silva
2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS …, 2020
172020
An Artificial Intelligence system to help the player of Real-Time Strategy games
RL de Freitas Cunha, L Chaimowicz
2010 Brazilian Symposium on Games and Digital Entertainment, 71-81, 2010
152010
JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications
B Silva, MAS Netto, RLF Cunha
Future Generation Computer Systems 83, 144-157, 2018
142018
Deciding when and how to move HPC jobs to the cloud
MAS Netto, RLF Cunha, N Sultanum
Computer 48 (11), 86-89, 2015
142015
Exploiting user patience for scaling resource capacity in cloud services
RLF Cunha, MD Assunçao, C Cardonha, MAS Netto
2014 IEEE 7th International Conference on Cloud Computing, 448-455, 2014
132014
Patience-aware scheduling for cloud services: Freeing users from the chains of boredom
C Cardonha, MD Assunção, MAS Netto, RLF Cunha, C Queiroz
Service-Oriented Computing: 11th International Conference, ICSOC 2013 …, 2013
112013
Enterprise peer-to-peer storage and method of managing peer network storage
AP Appel, SCS Bianchi, HC de S. P. Candello, RL de F. Cunha
US Patent App. 14/611,525, 2016
102016
Context-aware execution migration tool for data science Jupyter Notebooks on hybrid clouds
RLF Cunha, LCV Real, R Souza, B Silva, MAS Netto
2021 IEEE 17th International Conference on eScience (eScience), 30-39, 2021
92021
Towards a common environment for learning scheduling algorithms
RL de Freitas Cunha, L Chaimowicz
2020 28th International Symposium on Modeling, Analysis, and Simulation of …, 2020
92020
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