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Time sensitive network applications, for example in Intra-Vehicular Networks, aim to give predictable end-to-end latency guarantees. As a consequence, processing resources of involved host systems remain partially unused, because they are reserved for rare worst cases. This circumstance provides the opportunity to reduce dimensioning overheads by managing the load on the nodes flexibly within the network. In our proposed approach, a SmartNIC involving an FPGA-based load balancer achieves dynamic routing of flows whilst preserving end-to-end latency guarantees. A flow-oriented online network measurement component continuously supervises network traffic with regards to compliance to flow specifications and constraints such as bounded one-way delay, absence of packet loss, and jitter. We use the supervisor to enhance forwarding decisions on the data plane. Initial evaluation yields a saving potential of around 30 %. We showcase quick dynamic reconfiguration of the FPGA when triggered by real-time measurement of the one-way delay using realistic automotive network traffic.

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In this work, authors present a Hardware based strategy for IEEE802.1CB Network Reliability embedded in Automotive Gateways (GW). It is a new approach for HW efficient and cost-effective integration of Frame Replication and Elimination for Reliability (FRER) algorithm within automotive Network-on-Chip / System-on-Chip. In essence, it is a HW architecture that permits to manage the complex integration of IEEE802.1CB within In-Vehicle Networks. The FRER algorithm is split into smaller functionalities which are allocated across the different processing stages of the GW, maximizing device and network performance. The proposed architecture has a strong focus on Functional Safety, introducing important enhancements to overcome IEEE802.1CB limitations identified in the state of the art: data content verification, meaningful network diagnosability and performance verification. It moves a step forward towards fail operational systems and the compliance with ISO 26262, contributing to future autonomous driving networking solutions.