A survey into performance and energy efficiency in HPC, cloud and big data environments. - Eduardo Camilo Inacio; Mario A. R. Dantas (Int. J. Netw. Virtual Organisations, 2014)

Towards a performance characterization of a parallel file system over virtualized environments. - Eduardo Camilo Inacio; Mario A. R. Dantas; Douglas D. J. de Macedo (ISCC, 2015)

Performance impact of operating systems' caching parameters on parallel file systems. - Eduardo Camilo Inacio; Mario A. R. Dantas; Francieli Zanon Boito; Philippe Olivier Alexandre Navaux; Douglas Dyllon Jeronimo de Macedo (SAC, 2015)

Understanding the Effect of Multiple Factors on a Parallel File System's Performance. - Eduardo Camilo Inacio; Laércio Lima Pilla; Mário Antônio Ribeiro Dantas (WETICE, 2015)

Dédalo: A middleware with a single point of access for heterogeneous distributed computing environments. - Eduardo Camilo Inacio; Frank Siqueira; Mario A. R. Dantas (ISCC, 2016)

Quality of Context Evaluating Approach in AAL Environment Using IoT Technology. - Débora Cabral Nazário; Pedro J. Campos; Eduardo C. Inacio; Mario A. R. Dantas (CBMS, 2017)

A Statistical Analysis of the Performance Variability of Read/Write Operations on Parallel File Systems. - Eduardo Camilo Inacio; Pedro Alberto Barbetta; Mario A. R. Dantas (ICCS, 2017)

Assessing the Performance of the SRR Loop Scheduler with Irregular Workloads. - Pedro Henrique Penna; Eduardo C. Inacio; Márcio Castro 001; Patricia Della Méa Plentz; Henrique C. Freitas; François Broquedis; Jean-François Méhaut (ICCS, 2017)

An ontology alignment framework for data-driven microservices. - Ivan Luiz Salvadori; Bruno C. N. Oliveira; Alexis Huf; Eduardo C. Inacio; Frank Siqueira (iiWAS, 2017)

A Study on Open Source Software for Large-Scale Data Visualization on SPARC64fx based HPC Systems. - Jorji Nonaka; Motohiko Matsuda; Takashi Shimizu; Naohisa Sakamoto; Masahiro Fujita; Keiji Onishi; Eduardo C. Inacio; Shun Ito; Fumiyoshi Shoji; Kenji Ono (HPC Asia, 2018)

IORE: A Flexible and Distributed I/O Performance Evaluation Tool for Hyperscale Storage Systems. - Eduardo C. Inacio; Mario A. R. Dantas (ISCC, 2018)

Characterizing I/O and Storage Activity on the K Computer for Post-Processing Purposes. - Eduardo C. Inacio; Jorji Nonaka; Kenji Ono; Mario A. R. Dantas; Fumiyoshi Shoji (ISCC, 2018)

An I/O Performance Evaluation Tool for Distributed Data-Intensive Scientific Applications. - Eduardo Camilo Inacio; Mário Antônio Ribeiro Dantas (LADaS@VLDB, 2018)

A coarse-grained page cache aware multivariate analytical model for the storage performance of a parallel file system. - Eduardo C. Inacio; Mario A. R. Dantas (Concurr. Comput. Pract. Exp., 2018)

A Checkpoint of Research on Parallel I/O for High-Performance Computing. - Francieli Zanon Boito; Eduardo C. Inacio; Jean Luca Bez; Philippe O. A. Navaux; Mario A. R. Dantas; Yves Denneulin (ACM Comput. Surv., 2018)

Data I/O management approach for the post-hoc visualization of big simulation data results. - Jorji Nonaka; Eduardo C. Inacio; Kenji Ono; Mario A. R. Dantas; Yasuhiro Kawashima; Tomohiro Kawanabe; Fumiyoshi Shoji (Int. J. Model. Simul. Sci. Comput., 2018)

An approach for evaluating and mitigating intra-application I/O performance variability over parallel file systems - Eduardo Camilo Inacio (2019)

Characterization Research on I/O Improvements Targeting DISC and HPC Applications. - Laércio Pioli; Eduardo C. Inacio; Douglas D. J. de Macedo; Victor Ströele; José Maria N. David; Jean-François Méhaut; Mario A. R. Dantas (IECON, 2020)

Elevating rotating machinery fault analysis: A multifaceted strategy with FFT, PCA, ANN, and K-means. - Regis Cardoso; Willian Daniel de Mattos; Giancarlo Marchesini; Eduardo Camilo Inacio; Rodrigo Marques de Figueiredo; Sandro José Rigo (Comput. Electr. Eng., 2025)