Priority-aware Inter-Server Receive Side Scaling

Franz Biersack, Kilian Holzinger, Henning Stubbe, Thomas Wild, Georg Carle, Andreas Herkersdorf

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

Next-generation automotive networks will be characterized by a high number of interconnected sensors, actuators and applications on electronic control units communicating with each other over a high-speed Ethernet backbone network. As these applications have various criticalities, high volumes of fluctuating traffic with different priorities will have to be processed in a reliable and efficient manner. To cope with these challenges, we present Priority-aware Inter-Server Receive Side Scaling (prioRSS), a new SmartNIC-based hardware accelerator designed for automotive compute nodes. prioRSS builds upon Receive Side Scaling and introduces priority-awareness into an intra- and inter-node load balancer. It uses a priority-partitioned indirection table within which flows of the same priority are bundled. Low-latency reconfigurations issued by a Network Health Monitoring software allow for adapting the table content to changing network conditions. Simulative evaluations and comparisons to a priority-unaware version of our design show that prioRSS enables per-priority resource assignments without degrading end-to-end packet latencies while using the same table memory space. Paired with a priority-aware scheduler, end-to-end latencies of high priority flows can be notably reduced compared to average packet latencies, at the expense of lowest priority traffic. The best results are acquired when partitioning the table proportionally to the associated traffic share.

OriginalspracheEnglisch
TitelProceedings - 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023
Redakteure/-innenRaffaele Montella, Javier Garcia Blas, Daniele D�Agostino
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten51-58
Seitenumfang8
ISBN (elektronisch)9798350337631
DOIs
PublikationsstatusVeröffentlicht - 2023
Extern publiziertJa
Veranstaltung31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023 - Naples, Italien
Dauer: 1 März 20233 März 2023

Publikationsreihe

NameProceedings - 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023

Konferenz

Konferenz31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023
Land/GebietItalien
OrtNaples
Zeitraum1/03/233/03/23

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