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Daniel Bezerra

affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

218

TOTAL CITATIONS

0

Scholarly Papers (3)

A Machine Learning-Based Optimization for End-to-End Latency in Tsn Networks

Number of pages: 41 Posted: 23 May 2022
affiliation not provided to SSRN, Universidade Federal de Pernambuco (UFPE), affiliation not provided to SSRN, Universidade Federal de Pernambuco (UFPE), affiliation not provided to SSRN, Ericsson Research, Universidade Federal de Pernambuco (UFPE) and Universidade Federal de Pernambuco (UFPE)
Downloads 86 (773,441)

Abstract:

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TSN, End-to-end latency, Network Optimization, ULL

A Machine Learning-Based Optimization for End-to-End Latency in Tsn Networks

Number of pages: 41 Posted: 23 May 2022
affiliation not provided to SSRN, Universidade Federal de Pernambuco (UFPE), affiliation not provided to SSRN, Universidade Federal de Pernambuco (UFPE), affiliation not provided to SSRN, Ericsson Research, Universidade Federal de Pernambuco (UFPE) and Universidade Federal de Pernambuco (UFPE)
Downloads 79 (819,435)

Abstract:

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TSN, End-to-end latency, Network Optimization, ULL

2.

Comparative Analysis of Tsn Simulation and a Real-World Deployment: A Study of End-to-End Latency and Performance

Number of pages: 27 Posted: 20 Jun 2025
affiliation not provided to SSRN, Universidade Federal de Pernambuco (UFPE), Universidade Federal de Pernambuco (UFPE), Universidade Federal de Pernambuco (UFPE) and Universidade Federal de Pernambuco (UFPE)
Downloads 29 (1,332,057)

Abstract:

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Time-Sensitive Networks, Network Latency, TSN Simulation, Virtualization

3.

A Lightweight Digital Twin for Credit-Based Shaper Optimization in Time-Sensitive Networks Using Graph Neural Networks and Reinforcement Learning

Number of pages: 50 Posted: 14 Mar 2026
affiliation not provided to SSRN, Universidade Federal de Pernambuco (UFPE), Universidade Federal de Pernambuco (UFPE), Universidade Federal de Pernambuco (UFPE) and Universidade Federal de Pernambuco (UFPE)
Downloads 24 (1,411,822)

Abstract:

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Time-Sensitive Networks, Graph Neural Networks, Reinforcement
Learning, Optimization