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Artigos
  • SILVA JUNIOR, L. P. ; PAES, A. ; PACITTI, E. ; OLIVEIRA, D. . FReeP: towards parameter recommendation in scientific workflows using preference learning. In: XXXIII Simpósio Brasileiro de Banco de Dados, 2018, Rio de Janeiro. Anais do XXXIII Simpósio Brasileiro de Banco de Dados. Porto Alegre: Sociedade Brasileira de Computação, 2018.

  • VALDURIEZ, P. ; MATTOSO, M. ; AKBARINIA, R. ; BORGES, H. ; CAMATA, J. ; COUTINHO, A. ; GASPAR, D. ; LEMUS, N. ; LIU, J. ; LUSTOSA, H. ; MASSEGLIA, F. ; NOGUEIRA, F. ; SILVA, V. ; SOUZA, R. S. ; OCAÑA, K. ; OGASAWARA, E. ; OLIVEIRA, D. ; PACITTI, E. ; PORTO, F. ; SHASHA, D. . Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project . In: 1st LADaS - Latin American Data Science Workshop, 2018, Rio de Janeiro. Proceedings of the 1st LADaS - Latin American Data Science Workshop (in conjunction with VLDB'18), 2018.

  • FIGUEIREDO, ROSA ; Frota, Yuri ; LABBÉ, MARTINE . A branch-and-cut algorithm for the maximum -balanced subgraph of a signed graph. DISCRETE APPLIED MATHEMATICS, v. 1, p. 1-38, 2018.

  • PANTOJA, C. ; SOARES, H. D. ; VITERBO, J. ; SEGHROUCHNI, A. . An Architecture for th\e Development of Ambient Intelligence Systems Managed by Embedded Agents. In: International Conference on Software Engineering & Knowledge Engineering, 2018, São Francisco. Proceedings of the International Conference on Software Engineering and Knowledge Engineering 2018, 2018.

  • Guitierrez, J. L. V. ; Boeres, C. ; Rebello, V. E. F. . Combining VM Preemption Schemes to Improve Vertical Memory Elasticity Scheduling in Clouds. In: Proceedings of the 11th International Conference on Utility and Cloud Computing, Zurich, ACM, 2018. p. 53-62.

  • GUEDES, T.; JESUS A. L.; Ocaña, K. A.; DRUMMOND L. M.; OLIVEIRA, D. Provenance-based fault tolerance technique recommendationfor cloud-based scientific workflows: a practical approach. Cluster Computing, 2019.

  • CRUZ, R. A., BENTES, C., BREDER, B., VASCONCELLOS, E., CLUA, E., DE CARVALHO, P. M., & DRUMMOND, L. M. Maximizing the GPU resource usage by reordering concurrent kernels submission. Concurrency and Computation: Practice and Experience, 2018.

  • CARVALHO, P., CRUZ, R., DRUMMOND, L.M., BENTES, C., CLUA, E., CATALDO, E. & MARZULO, L.A.. Kernel concurrency opportunities based on GPU benchmarks characterization. Cluster Computing, pp.1-12, 2019.

  • TEOBALDO BULHÕES, RUSLAN SADYKOV, EDUARDO UCHOA. A branch-and-price algorithm for the Minimum Latency Problem. Computers & OR 93: 66-78(2018)

  • ARTUR ALVES PESSOA, RUSLAN SADYKOV, EDUARDO UCHOA. Enhanced Branch-Cut-and-Price algorithm for heterogeneous fleet vehicle routing problems. European Journal of Operational Research 270(2): 530-543 (2018)

  • ARTUR ALVES PESSOA, RUSLAN SADYKOV, EDUARDO UCHOA, FRANÇOIS VANDERBECK: Automation and Combination of Linear-Programming Based Stabilization Techniques in Column Generation. INFORMS Journal on Computing 30(2): 339-360 (2018)

  • BASTOS, I. V., MORAES, I. M., NGUYEN, T. M. T., PUJOLLE, G., "Modelo e Avaliação da Recuperação de Conteúdos Através de Funções de Rede Virtuais na Arquitetura de Computação na Borda em Redes Móveis", em Simpósio Brasileiro de Redes de Computadores e de Sistemas Distribuídos (SBRC), 2019.

  • TEYLO, L., DRUMMOND, L., ARANTES, L., SENS, P., "Escalonamento de Aplicações em Instâncias Preemptivas Sujeitas a Falhas Temporais", em XX WORKSHOP DE TESTES E TOLERÂNCIA A FALHAS (WTF), 2019.

  • TEYLO, L., ARANTES, L., SENS, P. AND DRUMMOND, L., "A Hibernation Aware Dynamic Scheduler for Cloud Environments". In Proceedings of the 48th International Conference on Parallel Processing (ICPP): Workshops (p. 24). ACM, 2019.

  • TEYLO, L., ARANTES, L., SENS, P., DRUMMOND, L. "A Bag-of-Tasks Scheduler Tolerant to Temporal Failures in Clouds". In The International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). 2019.

  • HEIDSIECK, G. ; OLIVEIRA, D. ; PACITTI, E. ; PRADAL, C. ; TARDIEU, F. ; VALDURIEZ, P. . Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud. In: 30th International Conference on Database and Expert Systems Applications, 2019, Linz, Austria. Proceedings of the 30th International Conference on Database and Expert Systems Applications, 2019.

  • HEIDSIECK, G. ; OLIVEIRA, D. ; PACITTI, E. ; PRADAL, C. ; TARDIEU, F. ; VALDURIEZ, P. . Efficient Execution of Scientific Workflows in the Cloud through Adaptive Caching. In: 35ème Conférence sur la Gestion de Données Principes, Technologies et Applications, 2019, Lyon, França. 35ème Conférence sur la Gestion de Données Principes, Technologies et Applications, 2019.

  • TEYLO, L., BRUM, R., ARANTES, L., SENS, P., DRUMMOND, L. "Avaliação dos Serviços de Armazenamento da Amazon Web Services para Gravação e Recuperação de Checkpoints" (WTF). 2020.

  • TEYLO, L., BRUM, R., ARANTES, L., SENS, P., DRUMMOND, L. "Developing Checkpointing and Recovery  Procedures with the  Storage Services of Amazon Web Services". In Proceedings of the 49th International Conference on Parallel Processing (ICPP): Workshops.  ACM, 2020.
Livros
  • de Oliveira, D. C. M., Liu, J., Pacitti, E. Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments. Morgan & Claypool Publishers; 2019.