Performance and Cost Analysis between Elasticity Strategies over Pipeline-structured Applications. - Vinícius Meyer; Miguel G. Xavier; Dionatra F. Kirchoff; Rodrigo da Rosa Righi; César A. F. De Rose (CLOSER, 2019)

A Preliminary Study of Machine Learning Workload Prediction Techniques for Cloud Applications. - Dionatra F. Kirchoff; Miguel G. Xavier; Juliana Mastella; César A. F. De Rose (PDP, 2019)

Optimizing multi-tier application performance with interference and affinity-aware placement algorithms. - Uillian L. Ludwig; Miguel G. Xavier; Dionatra F. Kirchoff; Ian B. Cezar; César A. F. De Rose (Concurr. Comput. Pract. Exp., 2019)

Towards Interference-Aware Dynamic Scheduling in Virtualized Environments. - Vinícius Meyer; Uillian L. Ludwig; Miguel G. Xavier; Dionatra F. Kirchoff; César A. F. De Rose (JSSPP, 2020)

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)

Evaluating machine learning prediction techniques and their impact on proactive resource provisioning for cloud environments. - Dionatra F. Kirchoff; Vinícius Meyer; Rodrigo N. Calheiros; César A. F. De Rose (J. Supercomput., 2024)