TSN/A Conference

In order to take full advantage of virtualization, time-sensitive applications must be integrated with 10G+ network interface cards and related platforms. In this presentation, we showcase practical results using latest Intel hardware running on Linux. 

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With IT/OT convergence in industrial networks, Time-Sensitive Networking (TSN) ensures reliable operations, requiring configuration for routers, switches, and TSN-Endpoints. Our research explores TSN configuration for IoT devices with cost-effective hardware.

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Compared to wired networks, the integration of 5G and TSN introduces significant packet delays and packet delay variations making it challenging to compute 802.1Qbv schedules providing end-to-end latency and reliability guarantees. We provide an overview of strategies employing statistical knowledge of 5G channel conditions to allocate suitable 5G packet delay budgets (PDBs).

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Modern vehicles need more bandwidth for data processing and communication, especially for autonomous driving functionalities. Our research aims to create a Time-Sensitive Networking (TSN) environment for zonal architecture car communication, integrating 10Gbps TSN Endpoints and Switches.

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During the transition to IEEE 802.1AS-2020, many TSN setups will mix AS-2020 and legacy AS-2011 devices. AS-2020 Grandmasters are still limited, but also AS-2011 switches or endnodes can't always be upgraded. A key change in AS-2020 is the peer delay mechanism. To ensure compatibility, AS-2020 offers configurable mechanisms. Our talk explores maximizing interoperability without explicit port configs, presenting real-world-tested strategies for robust time sync in industrial TSN environments.

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This presentation showcases proven migration strategies for TSN using PROFINET infrastructures.

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This presentation provides insights into needs, function and practical use of the TSN policing mechanisms, and shows relationships with the TSN shaping & scheduling mechanisms.

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This presentation summarizes some recent TSN developments in China and highlights critical gaps: the shortage of TSN-capable end-stations and the lack of proven solution practices. We introduce the TSN Autolearning mechanism which enables brownfield deployment through switch-based implementation and analyze its limitations.

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Ethernet in automotive has matured to the point where it gives its own flavour to it. Since networking performance in automotive is generally associated with determinism, TSN is naturally and synonymously used as a monolithic term automotive Ethernet is discussed. We will review the status of the use of the various TSN technologies based on current usage in industry with use cases, and present the upcoming applications which are trending in this industry and will drive future requirements.

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