Pedro Rafael X. do Carmo

Orcid: 0000-0002-7952-3239

According to our database1, Pedro Rafael X. do Carmo authored at least 17 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Data analysis of cloud virtualization experiments.
CoRR, February, 2026

Digital Twin Synchronization: towards a data-centric architecture.
CoRR, January, 2026

A systematic review on experimental evaluation of L4S architecture.
Comput. Commun., 2026

Comparative analysis of TSN simulation and real-world setups: End-to-end latency and forwarding performance.
Comput. Commun., 2026

2025
Enhancing computational efficiency in digital twins: a survey of techniques and challenges for fast inference.
Appl. Intell., November, 2025

Deep Learning-Based Intrusion Detection for Automotive Ethernet: Evaluating & Optimizing Fast Inference Techniques for Deployment on Low-Cost Platform.
CoRR, July, 2025

Implementing DualPI2 AQM in 5G Networks.
Proceedings of the International Conference on Software, 2025

Deep Learning-Based Intrusion Detection for Automotive Ethernet: Evaluating and Optimizing Fast Inference Techniques for Deployment on Low-Cost Platform.
Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

2024
Living on the edge: A survey of Digital Twin-Assisted Task Offloading in safety-critical environments.
J. Netw. Comput. Appl., 2024

Analysis of SR-IOV in Docker containers using RTT measurements.
Comput. Commun., 2024

2023
Measuring the impact of SR-IOV and virtualization on packet round-trip time.
Comput. Commun., November, 2023

2022
A Round-Trip Time and Virtualization dataset.
Dataset, April, 2022

A survey on accelerating technologies for fast network packet processing in Linux environments.
Comput. Commun., 2022

An experimental investigation of Round-Trip Time and virtualization.
Comput. Commun., 2022

Machine Learning-Based Intrusion Detection System for Automotive Ethernet: Detecting Cyber-Attacks with a Low-Cost Platform.
Proceedings of the 40th Brazilian Symposium on Computer Networks and Distributed Systems, 2022

2020
Short-Term Firm-Level Energy-Consumption Forecasting for Energy-Intensive Manufacturing: A Comparison of Machine Learning and Deep Learning Models.
Algorithms, 2020

2019
Comparative Analysis of Abstraction Layer Performance of IoT Devices Management Platforms.
Proceedings of the Sixth International Conference on Internet of Things: Systems, 2019


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