Renato Luiz de Freitas Cunha
Renato Luiz de Freitas Cunha
Research Engineer, IBM Research
E-mail confirmado em acm.org - Página inicial
TítuloCitado porAno
Evaluating auto-scaling strategies for cloud computing environments
MAS Netto, C Cardonha, RLF Cunha, MD Assuncao
2014 IEEE 22nd International Symposium on Modelling, Analysis & Simulation …, 2014
572014
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, 0
41*
Impact of user patience on auto-scaling resource capacity for cloud services
MD de Assunção, CH Cardonha, MAS Netto, RLF Cunha
Future Generation Computer Systems 55, 41-50, 2016
282016
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
172017
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
132016
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
102010
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
92014
Unloading pressurized liquefied natural gas into standard liquefied natural gas storage facilities
EL Kimble, JR Rigby, RR Bowen
US Patent 6,560,988, 2003
92003
Auto-scaling thresholds in elastic computing environments
CH Cardonha, MD de Assuncao, RL de Freitas Cunha, MAS Netto
US Patent 9,513,935, 2016
82016
Deciding when and how to move HPC jobs to the cloud
MAS Netto, RLF Cunha, N Sultanum
Computer 48 (11), 86-89, 2015
82015
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
72018
Patience-aware scheduling for cloud services: Freeing users from the chains of boredom
C Cardonha, MD Assunção, MAS Netto, RLF Cunha, C Queiroz
International Conference on Service-Oriented Computing, 550-557, 2013
72013
Temporally evolving community detection and prediction in content-centric networks
AP Appel, RLF Cunha, CC Aggarwal, MM Terakado
ECML PKDD 2018, 1-16, 2018
62018
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
52018
Um sistema de apoio ao jogador para jogos de Estratégia em Tempo Real
R Cunha, L Chaimowicz
Dissertação de Mestrado, 2010
52010
SLA-aware interactive workflow assistant for HPC parameter sweeping experiments
B Silva, MAS Netto, RLF Cunha
arXiv preprint arXiv:1611.02917, 2016
42016
RTSmate: Towards an advice system for RTS games
RLDF Cunha, MC Machado, L Chaimowicz
Computers in Entertainment (CIE) 12 (1), 1, 2014
42014
Managing sensitive applications in the public cloud
K Beaty, JM Chow, RLF Cunha, KK Das, M Hulber, A Kundu, V Michelini, ...
IBM Journal of Research and Development 60 (2-3), 4:1-4:13, 2016
32016
A scalable machine learning system for pre-season agriculture yield forecast
I Oliveira, RLF Cunha, B Silva, MAS Netto
arXiv preprint arXiv:1806.09244, 2018
22018
Determining Song Similarity via Machine Learning Techniques and Tagging Information
RLF Cunha, E Caldeira, L Fujii
arXiv preprint arXiv:1704.03844, 2017
22017
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