rezabarzegaran / tsn

TSN

This program synthesizes gate control lists (GSLs) for time-sensingitve networks (TSN). The code is implemented in Java and uses Google OR-Tools as the solver.

Installation: For installing the code, you may need to install the followings:

1. Eclipse
2. Java Runtime Environment (JRE)
3. Google OR Tools.

Note: There are some incompatibility issuses between different versions of JRE and Google OR-Tools.

Please cite the following paper when using the code:

The program imlements several methods for GCL synthesis: A: Ramon method --> IEEE 802.1 Qbv gate control list synthesis using array theory encoding @inproceedings{oliver2018ieee, title={IEEE 802.1 Qbv gate control list synthesis using array theory encoding}, author={Oliver, Ramon Serna and Craciunas, Silviu S and Steiner, Wilfried}, booktitle={2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)}, pages={13--24}, year={2018}, organization={IEEE} }

B: Silviu method --> Scheduling real-time communication in IEEE 802.1 Qbv time sensitive networks @inproceedings{craciunas2016scheduling, title={Scheduling real-time communication in IEEE 802.1 Qbv time sensitive networks}, author={Craciunas, Silviu S and Oliver, Ramon Serna and Chmel{'\i}k, Martin and Steiner, Wilfried}, booktitle={Proceedings of the 24th International Conference on Real-Time Networks and Systems}, pages={183--192}, year={2016} }

C: Niklas method --> Window-based schedule synthesis for industrial IEEE 802.1 Qbv TSN networks @inproceedings{reusch2020window, title={Window-based schedule synthesis for industrial IEEE 802.1 Qbv TSN networks}, author={Reusch, Niklas and Zhao, Luxi and Craciunas, Silviu S and Pop, Paul}, booktitle={2020 16th IEEE International Conference on Factory Communication Systems (WFCS)}, pages={1--4}, year={2020}, organization={IEEE} }

D: Reza method --> Communication scheduling for control performance in TSN-based fog computing platforms @article{barzegaran2021communication, title={Communication scheduling for control performance in TSN-based fog computing platforms}, author={Barzegaran, Mohammadreza and Pop, Paul}, journal={IEEE Access}, volume={9}, pages={50782--50797}, year={2021}, publisher={IEEE} }