• Renato L. F. Cunha. Databases as a Service. In S. Sakr and A. Zomaya, editors, Encyclopedia of Big Data Technologies. Springer International Publishing AG, 2018. [ Bibtex ] [ DOI ]
  • 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, 2018. to appear. [ Bibtex ]
  • 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 ]


  • Renato L. F. Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, and Marco A. S. Netto. Job placement advisor based on turnaround predictions for HPC hybrid clouds. Future Generation Computer Systems, 67(1):35 – 46, February 2017. [ Bibtex ] [ URL ] [ PDF ] [ DOI ]


  • 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 ]
  • K. A. Beaty, J. M. Chow, R. L. F. Cunha, K. K. Das, M. F. Hulber, A. Kundu, V. Michelini, and E. R. Palmer. Managing sensitive applications in the public cloud. IBM Journal of Research and Development, 60(2-3):4:1–4:13, March 2016. [ 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. [ 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. [ 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. [ Bibtex ] [ PDF ] [ DOI ]


  • Carlos Cardonha, Marcos D. Assunção, Marco A. S. Netto, Renato L. F. Cunha, and Carlos Queiroz. Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom., pages 550–557. Springer Berlin Heidelberg, Berlin, Heidelberg, December 2013. [ Bibtex ] [ URL ] [ 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. [ 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 ]