An Interference-Aware Application Classifier Based on Machine Learning to Improve Scheduling in Clouds. - Vinícius Meyer; Dionatra F. Kirchoff; Matheus L. da Silva; César A. F. De Rose (PDP, 2020)

Evaluating the performance and improving the usability of parallel and distributed Word Embeddings tools. - Matheus L. da Silva; Vinícius Meyer; Dionatra F. Kirchoff; Joaquim Francisco Santos Neto; Renata Vieira; César A. F. De Rose (PDP, 2020)

ML-driven classification scheme for dynamic interference-aware resource scheduling in cloud infrastructures. - Vinícius Meyer; Dionatra F. Kirchoff; Matheus L. da Silva; César A. F. De Rose (J. Syst. Archit., 2021)

IADA: A dynamic interference-aware cloud scheduling architecture for latency-sensitive workloads. - Vinícius Meyer; Matheus L. da Silva; Dionatra F. Kirchoff; César A. F. De Rose (J. Syst. Softw., 2022)

A Versatile Emulator Tool to Evaluate the Scalability of Edge Architectures in IoT Scenarios. - Matheus L. da Silva; Hêndrick B. Gonalves; Vinícius Meyer; Fabiano Hessel; César A. F. De Rose (WF-IoT, 2023)

Edge computing and its boundaries to IoT and Industry 4.0: a systematic mapping study. - Matheus L. da Silva; Vinícius Meyer; César A. F. De Rose (Int. J. Grid Util. Comput., 2024)