Leonardo Rebouças de Carvalho

Orcid: 0000-0001-7459-281X

According to our database1, Leonardo Rebouças de Carvalho authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Main FaaS Providers Behavior Under High Concurrency: An Evaluation with Orama Framework Distributed Architecture.
SN Comput. Sci., June, 2024

2023
Insights into the Performance of Function-as-a-Service Oriented Environments Using the Orama Framework.
SN Comput. Sci., May, 2023

Orchestration in Fog Computing: A Comprehensive Survey.
ACM Comput. Surv., 2023

Computational Resource Allocation in Fog Computing: A Comprehensive Survey.
ACM Comput. Surv., 2023

AFMC: An alignment framework for multiple computing services and providers.
Concurr. Comput. Pract. Exp., 2023

FaaS-Oriented Node.js Applications in an RPC Approach Using the Node2FaaS Framework.
IEEE Access, 2023

FaaS Benchmarking over Orama Framework's Distributed Architecture.
Proceedings of the 13th International Conference on Cloud Computing and Services Science, 2023

2022
Monitoring fog computing: A review, taxonomy and open challenges.
Comput. Networks, 2022

Deep-vacuity: A Proposal of a Machine Learning Platform based on High-performance Computing Architecture for Insights on Government of Brazil Official Gazettes.
Proceedings of the 18th International Conference on Web Information Systems and Technologies, 2022

Comparison of FaaS Platform Performance in Private Clouds.
Proceedings of the 12th International Conference on Cloud Computing and Services Science, 2022

Orama: A Benchmark Framework for Function-as-a-Service.
Proceedings of the 12th International Conference on Cloud Computing and Services Science, 2022

From the Sky to the Ground: Comparing Fog Computing with Related Distributed Paradigms.
Proceedings of the 12th International Conference on Cloud Computing and Services Science, 2022

2020
Inferring about fraudulent collusion risk on Brazilian public works contracts in official texts using a Bi-LSTM approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Remote Procedure Call Approach using the Node2FaaS Framework with Terraform for Function as a Service.
Proceedings of the 10th International Conference on Cloud Computing and Services Science, 2020

Performance Comparison of Terraform and Cloudify as Multicloud Orchestrators.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

Performance Analysis of Main Public Cloud Big Data Services Processing Brazilian Government Data.
Proceedings of the High Performance Computing - 7th Latin American Conference, 2020

2019
Cloud.Jus: Architecture for Provisioning Infrastructure as a Service in the Government Sector.
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

Framework Node2FaaS: Automatic NodeJS Application Converter for Function as a Service.
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019


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