Modern in-vehicle applications, such as automated driving, require hardware and software platforms that integrate multiple processing units with specialized hardware and virtualization support. Such platforms need a communication system able to offer several properties, such as, support for different realtime traffic classes, high reliability, and clock synchronization. The IEEE Time-Sensitive Networking is the candidate technology for meeting these requirements, and therefore recent work has proposed a novel framework to support TSN in heterogeneous platforms with virtualization. This work presents an experimental assessment of such a novel framework and provides experimental results that offer quantitative insights on the framework performance.

Experimental assessment of TSN support in heterogeneous platforms with virtualization for automotive applications

Luca Leonardi
;
Lucia Lo Bello;Gaetano Patti
2021-01-01

Abstract

Modern in-vehicle applications, such as automated driving, require hardware and software platforms that integrate multiple processing units with specialized hardware and virtualization support. Such platforms need a communication system able to offer several properties, such as, support for different realtime traffic classes, high reliability, and clock synchronization. The IEEE Time-Sensitive Networking is the candidate technology for meeting these requirements, and therefore recent work has proposed a novel framework to support TSN in heterogeneous platforms with virtualization. This work presents an experimental assessment of such a novel framework and provides experimental results that offer quantitative insights on the framework performance.
2021
978-88-87237-52-8
Automotive networks , Heterogeneous platforms , Real-time networks , Real-time systems , Time-Sensitive Networking (TSN)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/521142
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