Fábio Morais

According to our database, Fábio Morais authored at least 18 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

X-Ray cardiac angiographic vessel segmentation based on pixel classification using machine learning and region growing.

Érick O. Rodrigues, Lucas O. Rodrigues, J. J. Lima, Dalcimar Casanova, Fábio Favarim, Eden R. Dosciatti, Vinicius Pegorini, L. S. N. Oliveira, Fábio Morais

CoRR, May, 2026

KLUE: A Framework for Cost-Effective Experimentation in Emulated Kubernetes Clusters.

Kayky Fidelis, Geraldo Junior, Caetano Albuquerque, Giovanni Farias, Thiago Emmanuel Pereira, Fábio Morais, Kilian Melcher

Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

2025

AI-Driven Workload Migration Framework for Multi-Cluster Environments.

Jose Lima, Andre Cunha, Nathan F. Pedroza, Lilia Sampaio, Giovanni Farias, Fábio Morais

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2025

IaaS Capacity Planning with Multiple Pricing Models Using Predictive Heuristics.

Moab Alves, Fábio Morais

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2025

2024

No Clash on Cache: Observations from a Multi-tenant Ecommerce Platform.

Anna Lira, Ruan Alves, Thiago Emmanuel Pereira, Fábio Morais, João Ramalho, Mariana Mendes

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

2023

The Effectiveness of Machine Learning to Estimate the Risk of Failure in Brazilian Public Contracts.

Talita Lôbo de Menezes, Nazareno Ferreira de Andrade, Fábio Jorge Almeida Morais

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

A case study of proactive auto-scaling for an ecommerce workload.

Marcella Medeiros Siqueira Coutinho de Almeida, Thiago Emmanuel Pereira, Fábio Morais

CoRR, 2022

2020

QoS-driven scheduling in the cloud.

Giovanni Farias da Silva, Francisco Vilar Brasileiro, Raquel Lopes, Fábio Jorge Almeida Morais, Marcus Carvalho, Daniel Turull

J. Internet Serv. Appl., 2020

Measuring disruption in song similarity networks.

Felipe Falcão, Nazareno Andrade, Flavio Figueiredo, Diego Furtado Silva, Fábio Morais

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

BIGSEA: A Big Data analytics platform for public transportation information.

Andy S. Alic, Jussara M. Almeida, Giovanni Aloisio, Nazareno Andrade, Nuno Antunes, Danilo Ardagna, Rosa M. Badia, Tânia Basso, Ignacio Blanquer, Tarciso Braz, Andrey Brito, Donatello Elia, Sandro Fiore, Dorgival O. Guedes, Marco Lattuada, Daniele Lezzi, Matheus Maciel, Wagner Meira Jr., Demetrio Gomes Mestre, Regina Moraes, Fábio Morais, Carlos Eduardo S. Pires, Nádia P. Kozievitch, Walter dos Santos, Paulo Silva, Marco Vieira

Future Gener. Comput. Syst., 2019

Escalonamento justo em infraestruturas de nuvem com múltiplas classes de serviço.

Giovanni Farias da Silva, Raquel Lopes, Francisco V. Brasileiro, Marcus Carvalho, Fábio Jorge Almeida Morais, João Mafra, Daniel Turull

Proceedings of the XXXVII Brazilian Symposium on Computer Networks and Distributed Systems, 2019

Assuring Cloud QoS through Loop Feedback Controller Assisted Vertical Provisioning.

Armstrong Goes, Fábio Morais, Eduardo De Lucena Falcão, Andrey Brito

Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

2018

Supporting Mixed Workloads in OpenStack-Based Clouds.

Fábio Jorge Almeida Morais, Giovanni Farias, Marcus Carvalho, Francisco V. Brasileiro, João Mafra, Alessandro Fook, Raquel Lopes, Daniel Turull

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

Provisionamento Automático de Recursos em Nuvem IaaS: eficiência e limitações de abordagens reativas.

Fábio Morais, Raquel Lopes, Francisco V. Brasileiro

Proceedings of the XXXV Brazilian Symposium on Computer Networks and Distributed Systems, 2017

On the Efficiency Gains of Using Disaggregated Hardware to Build Warehouse-Scale Clusters.

Giovanni Farias, Francisco Vilar Brasileiro, Raquel Lopes, Marcus Carvalho, Fábio Jorge Almeida Morais, Daniel Turull

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017

2016

Instance Type Selection in Proactive Horizontal Auto-Scaling.

Fábio Jorge Almeida Morais, Raquel Lopes, Francisco Vilar Brasileiro

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

2013

Autoflex: Service Agnostic Auto-scaling Framework for IaaS Deployment Models.

Fábio Jorge Almeida Morais, Francisco Vilar Brasileiro, Raquel Vigolvino Lopes, Ricardo Araújo Santos, Wade Satterfield, Leandro Rosa

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2008

Functional verification methodology using Hierarchical Coloured Petri Nets-based testbenches.

Cássio L. Rodrigues, Fábio Jorge Almeida Morais, Leandro Max L. Silva, Karina R. G. da Silva, Jorge C. A. de Figueiredo, Dalton Dario Serey Guerrero, Elmar U. K. Melcher

Proceedings of the IEEE International Conference on Systems, 2008