Automotive Middleware Performance: Comparison of FastDDS, Zenoh and vSomeIP

Fuente: arXiv
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Autori principali: Klüner, David Philipp, Hegerath, Lucas, Hatib, Amin Dieter, Kowalewski, Stefan, Alrifaee, Bassam, Kampmann, Alexandru
Natura: Preprint
Pubblicazione: 2025
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author Klüner, David Philipp
Hegerath, Lucas
Hatib, Amin Dieter
Kowalewski, Stefan
Alrifaee, Bassam
Kampmann, Alexandru
author_facet Klüner, David Philipp
Hegerath, Lucas
Hatib, Amin Dieter
Kowalewski, Stefan
Alrifaee, Bassam
Kampmann, Alexandru
contents In this study, we evaluate the performance of current automotive communication middlewares under various operating conditions. Specifically, we examine FastDDS, a widely used open-source middleware, the newly developed Zenoh middleware, and vSomeIP, COVESAs open-source implementation of SOME/IP. Our objective is to identify the best performing middleware for specific operating conditions. To ensure accessibility, we first provide a concise overview of middleware technologies and their fundamental principles. We then introduce our testing methodology designed to systematically assess middleware performance metrics such as scaling performance, end-to-end latency, and discovery times across multiple message types, network topologies, and configurations. Finally, we compare the resulting performance data and present our results in nine findings. Our evaluation code and the resulting data will be made publicly available upon acceptance.
format Preprint
id arxiv_https___arxiv_org_abs_2505_02734
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Automotive Middleware Performance: Comparison of FastDDS, Zenoh and vSomeIP
Klüner, David Philipp
Hegerath, Lucas
Hatib, Amin Dieter
Kowalewski, Stefan
Alrifaee, Bassam
Kampmann, Alexandru
Performance
In this study, we evaluate the performance of current automotive communication middlewares under various operating conditions. Specifically, we examine FastDDS, a widely used open-source middleware, the newly developed Zenoh middleware, and vSomeIP, COVESAs open-source implementation of SOME/IP. Our objective is to identify the best performing middleware for specific operating conditions. To ensure accessibility, we first provide a concise overview of middleware technologies and their fundamental principles. We then introduce our testing methodology designed to systematically assess middleware performance metrics such as scaling performance, end-to-end latency, and discovery times across multiple message types, network topologies, and configurations. Finally, we compare the resulting performance data and present our results in nine findings. Our evaluation code and the resulting data will be made publicly available upon acceptance.
title Automotive Middleware Performance: Comparison of FastDDS, Zenoh and vSomeIP
topic Performance
url https://arxiv.org/abs/2505.02734