• Renato L. F. Cunha. Databases as a Service. In S. Sakr and A. Zomaya, editors, Encyclopedia of Big Data Technologies. Springer International Publishing AG, December 2018. doi:10.1007/978-3-319-63962-8_83-1. [ Bibtex ] [ DOI ]
  • Igor Oliveira, Renato L. F. Cunha, Bruno Silva, and Marco A. S. Netto. A scalable machine learning system for pre-season agriculture yield forecast. In 2018 IEEE 14th International Conference on e-Science. October 2018. to appear. [ Bibtex ] [ PDF ]
  • Eduardo Rocha Rodrigues, Igor Oliveira, Renato L. de F. Cunha, and Marco A. S. Netto. Deepdownscale: a deep learning strategy for high-resolution weather forecast. In 2018 IEEE 14th International Conference on e-Science. October 2018. to appear. [ Bibtex ] [ PDF ]
  • Bruno Silva and Marco A. S. Netto Renato L. F. Cunha. JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications. Future Generation Computer Systems, 83:144–157, October 2018. doi:j.future.2018.02.002. [ Bibtex ] [ PDF ] [ DOI ]
  • Ana P. Appel, Renato L. F. Cunha, Charu Aggarwal, and Marcela Megumi Terakado. Temporally evolving community detection and prediction in content-centric networks. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Dublin, Ireland, September 2018. Springer. [ Bibtex ]
  • Renato L. de F. Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, and Dario Augusto Borges Oliveira. An argument in favor of strong scaling for deep neural networks with small datasets. In 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 306–313. September 2018. doi:10.1109/SBAC-PAD.2018.00057. [ Bibtex ] [ PDF ] [ Slides ] [ DOI ]
  • Eric B. Gauch, Bruno Estima Correia Milanesi Castanheira, Bruno Silva, Renato L. F. Cunha, and Marco A. S. Netto. A Search Space Exploration Framework for e-Science Applications. In BreSci - XII Brazilian e-Science Workshop. Natal, RN – Brazil, July 2018. SBC. [ Bibtex ] [ PDF ]
  • Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato L. F. Cunha, and Rajkumar Buyya. HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges. ACM Computing Surveys, 51(1):8:1–8:29, January 2018. [ Bibtex ] [ PDF ]



  • Eduardo R. Rodrigues, Renato L. F. Cunha, Marco A. S. Netto, and Michael Spriggs. Helping HPC Users Specify Job Memory Requirements via Machine Learning. In Workshop on HPC User Support Tools. Salt Lake City, Utah, November 2016. [ Bibtex ]
  • Bruno Silva, Marco A. S. Netto, and Renato L. F. Cunha. SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments. In Workflows in Support of Large-Scale Science. Salt Lake City, Utah, November 2016. [ Bibtex ]
  • Kirk A. Beaty, Jenny M. Chow, Renato L. F. Cunha, Koushik K. Das, Mark F. Hulber, Ashish Kundu, Vanessa Michelini, and Elain R. Palmer. Managing sensitive applications in the public cloud. IBM Journal of Research and Development, 60(2-3):4:1–4:13, March 2016. doi:10.1147/JRD.2015.2513720. [ Bibtex ] [ PDF ] [ DOI ]
  • Marcos Dias de Assunção, Carlos H. Cardonha, Marco A. S. Netto, and Renato L. F. Cunha. Impact of user patience on auto-scaling resource capacity for cloud services. Future Generation Computer Systems, 55(1):41–50, February 2016. URL:, doi:10.1016/j.future.2015.09.001. [ Bibtex ] [ URL ] [ PDF ] [ DOI ]


  • Marco A. S. Netto, Renato L. F. Cunha, and Nicole Sultanum. Deciding When and How to Move HPC Jobs to the Cloud. Computer, 48(11):112–115, November 2015. [ Bibtex ] [ PDF ]
  • Renato Luiz de Freitas Cunha, Marlos Cholodovski Machado, and Luiz Chaimowicz. RTSmate: towards an advice system for RTS games. Computers in Entertainment, 12(1):1:1–1:20, February 2015. doi:10.1145/2582193.2633441. [ Bibtex ] [ PDF ] [ DOI ]


  • Marco A. S. Netto, Carlos Cardonha, Renato L. F. Cunha, and Marcos D. Assunção. Evaluating Auto-scaling Strategies for Cloud Computing Environments. In Proceedings of the 22nd IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (IEEE MASCOTS'14). Paris, France, September 2014. [ Bibtex ] [ PDF ]
  • Renato L. F. Cunha, Marcos D. Assunção, Carlos Cardonha, and Marco A. S. Netto. Exploiting User Patience for Scaling Resource Capacity in Cloud Services. In Proceedings of the 7th IEEE International Conference on Cloud Computing (IEEE CLOUD’14). Alaska, USA, July 2014. doi:10.1109/CLOUD.2014.67. [ Bibtex ] [ PDF ] [ DOI ]



  • Renato Luiz de Freitas Cunha and Luiz Chaimowicz. An Artificial Intelligence system to help the player of Real-Time Strategy games. In Simpósio Brasileiro de Jogos e Entretenimento Digital - SBGames. November 2010. [ Bibtex ] [ PDF ]
  • Renato Luiz de Freitas Cunha. Um sistema de apoio ao jogador para jogos de estratégia em tempo real. Master's thesis, Programa de Pós-Graduacao em Ciência da Computação, Universidade Federal de Minas Gerais, March 2010. doi:10.13140/RG.2.1.2964.9683. [ Bibtex ] [ PDF ] [ Slides ] [ DOI ]


  • Renato Luiz de Freitas Cunha and Alberto Ferreira de Souza. Integração do Cluster Enterprise ao Grid Sinergia. In Anais do VII Workshop em Sistemas Computacionais de Alto Desempenho. October 2006. [ Bibtex ] [ PDF ] [ Slides ] [ Poster ]