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Deadline-Aware Online Scheduling of TSN Flows for Automotive Applications

Gaetano Patti,L. L. Bello,Luca Leonardi

2023 · DOI: 10.1109/TII.2022.3184069
IEEE Transactions on Industrial Informatics · 90 Citations

TLDR

The introduction of online Earliest Deadline First-based scheduling in TSN to provide support for event-driven real-time traffic and provides both worst-case response time analysis and simulative assessments in realistic automotive scenarios are proposed.

Abstract

The Time-Sensitive Networking (TSN) set of standards allows to support on the same channel the different kinds of traffic flows that are typically found in automotive scenarios. This article proposes the introduction of online Earliest Deadline First-based scheduling in TSN to provide support for event-driven real-time traffic. The proposed approach, called Deadline-TSN, is an online approach, and therefore, unlike other approaches in the literature, it does not require complex offline schedule calculations. Moreover, Deadline-TSN is able to uniformly deal with real-time periodic and event-driven traffic flows. This article presents Deadline-TSN and provides both worst-case response time analysis and simulative assessments in realistic automotive scenarios.