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Proceedings 2017, 1(3), 171; doi:10.3390/IS4SI-2017-04018

Synthesis of Extremely Large Time-Triggered Network Schedules

School of Innovation, Design and Engineering, Mälardalens University, 721 23 Västerås, Sweden
Presented at the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017
Published: 9 June 2017
(This article belongs to the Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY)
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Abstract

Synthesis of time-triggered network schedules is a known practice to obtain low jitter and bounded end-to-end delay needed in some applications where not only the information but the transmission timings are crucial. However, synthesizing such schedules is a NP-complete problem where state-of-the-art synthesizers are being out scaled by the increasing size and complexity of new application networks. We present different divide and conquer approaches to handle the increasing complexity of future networks while maintaining the synthesis time reasonably low.
Keywords: real-time networks; time-triggered; scheduling; SMT solvers real-time networks; time-triggered; scheduling; SMT solvers
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Pozo, F. Synthesis of Extremely Large Time-Triggered Network Schedules. Proceedings 2017, 1, 171.

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