Improvements to Deep-Learning-based Feasibility Prediction of Switched Ethernet Network Configurations

Author:

Long Mai Tieu1,Navet Nicolas1

Affiliation:

1. University of Luxembourg, Luxembourg

Publisher

ACM

Reference32 articles.

1. RealTime at Work. [n.d.]. RTaW-Pegase: Modeling Simulation and automated Configuration of communication networks. Retrieved 2019/01/24 https://www.realtimeatwork.com/software/rtaw-pegase. RealTime at Work. [n.d.]. RTaW-Pegase: Modeling Simulation and automated Configuration of communication networks. Retrieved 2019/01/24 https://www.realtimeatwork.com/software/rtaw-pegase.

2. On priority assignment in fixed priority scheduling

3. P.W. Battaglia J.B. Hamrick V. Bapst A. Sanchez-Gonzalez V. Zambaldi M. Malinowski A. Tacchetti D. Raposo A. Santoro R. Faulkner 2018. Relational inductive biases deep learning and graph networks. arXiv preprint arXiv:1806.01261(2018). P.W. Battaglia J.B. Hamrick V. Bapst A. Sanchez-Gonzalez V. Zambaldi M. Malinowski A. Tacchetti D. Raposo A. Santoro R. Faulkner 2018. Relational inductive biases deep learning and graph networks. arXiv preprint arXiv:1806.01261(2018).

4. O. Creighton N. Navet P. Keller and J. Migge. 2020. Towards Computer-Aided Iterative TSN-and Ethernet-based E/E Architecture Design. In 2020 IEEE Standards Association (IEEE-SA) Ethernet & IP @ Automotive Technology Day. Munich. http://hdl.handle.net/10993/44490 O. Creighton N. Navet P. Keller and J. Migge. 2020. Towards Computer-Aided Iterative TSN-and Ethernet-based E/E Architecture Design. In 2020 IEEE Standards Association (IEEE-SA) Ethernet & IP @ Automotive Technology Day. Munich. http://hdl.handle.net/10993/44490

5. A review of priority assignment in real-time systems

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