Prof. Lucia Lo Bello, PhD

Publication type:  Journal Article

Authors: G. Patti, L. Lo Bello, L. Leonardi

Journal: IEEE Transactions on Industrial Informatics

Pages: 1-11

Date: June 2022

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 work 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. The paper presents Deadline-TSN and provides both a worst-case response time analysis and simulative assessments in realistic automotive scenarios.

Keywords: Time-Sensitive Networking (TSN), IEEE 802.1, Earliest Deadline First (EDF), Real-time networks, Automotive networks.

Publisher: IEEE

DOI:  10.1109/TII.2022.3184069

URL:  https://ieeexplore.ieee.org/document/9799732

Status: published

Cite as:
 G. Patti, L. Lo Bello, L. Leonardi, "Deadline-aware Online Scheduling of TSN Flows for Automotive Applications", IEEE Transactions on Industrial Informatics, pp. 1-11, June 2022

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