Research Characterization on I/O Improvements of Storage Environments. - Laércio Pioli; Victor Ströele de Andrade Menezes; Mário Antônio Ribeiro Dantas (3PGCIC, 2019)

An Approach to Support the Design and the Dependability Analysis of High Performance I/O Intensive Distributed Systems. - Lucas Bressan; Laércio Pioli; Mario A. R. Dantas; Fernanda Campos; André Luíz de Oliveira (3PGCIC, 2020)

An Implementation Science Effort in a Heterogenous Edge Computing Platform to Support a Case Study of a Virtual Scenario Application. - Marceau Decamps; Jean-François Méhaut; Vinicius F. Vidal; Leonardo de Mello Honório; Laércio Pioli; Mario A. R. Dantas (3PGCIC, 2020)

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)

A Scientific Model to Support Industrial Data Management Process Using Virtualized Environments. - Laércio Pioli; Thiago G. Thomé; Júlia X. M. Nunes; Douglas D. J. de Macedo; Paulo César R. de L. Junior; Mario A. R. Dantas (3PGCIC, 2021)

Matching Metadata on Blockchain for Self-Sovereign Identity. - Frederico Schardong; Ricardo Felipe Custódio; Laércio Pioli; João Vicente Meyer (Business Process Management Workshops, 2021)

A Cluster Formation Algorithm for Fog Architectures Based on Mobility Parameters at a Geographically LAN Perspective. - Victoria B. Martins; Douglas D. J. de Macedo; Laércio Pioli; Roger Immich (3PGCIC, 2022)

An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature. - Laércio Pioli; Carina F. Dorneles; Douglas D. J. de Macedo; Mario A. R. Dantas (Computing, 2022)

Micro IDS: On-Line Recognition of Denial-of-Service Attacks on IoT Networks. - Henrique Fell Lautert; Douglas D. J. de Macedo; Laércio Pioli (AINA (1), 2023)

Recognition of Denial-of-Service Attacks in IoT Networks with Linear Complexity Model. - Henrique Fell Lautert; Laércio Pioli; Douglas D. J. de Macedo (UCC, 2023)

An effort to characterise enhancements I/O of storage environments. - Laércio Pioli; Victor Ströele; Mario A. R. Dantas (Int. J. Grid Util. Comput., 2023)

Optimizing Data Quality and Decision-Making in IoT with AI-Driven Data Reduction in DICOM. - Laércio Pioli; Douglas D. J. de Macedo; Daniel G. Costa; Mario A. R. Dantas (UCC, 2024)

Video streaming on fog and edge computing layers: A systematic mapping study. - André Luiz S. de Moraes; Douglas D. J. de Macedo; Laércio Pioli (Internet Things, 2024)

Towards an AI-Driven Data Reduction Framework for Smart City Applications. - Laércio Pioli; Douglas D. J. de Macedo; Daniel G. Costa; Mario A. R. Dantas (Sensors, 2024)

Intelligent Edge-powered Data Reduction: A Systematic Literature Review. - Laércio Pioli; Douglas D. J. de Macedo; Daniel G. Costa; Mario A. R. Dantas (ACM Comput. Surv., 2024)

Intelligent Data Reduction for IoT: A Context-Driven Framework. - Laércio Pioli; Douglas Dyllon Jeronimo de Macedo; Daniel G. Costa; Mario A. R. Dantas (IEEE Access, 2025)