SbDN is presented, a Multi-Agent Source-based architecture that achieves TSN-grade determinism using commodity Ethernet switches and provides two methods: Temporal Network Partitioning (TNP), which provides strict temporal isolation on pure FIFO switches, and Traffic Prioritization (TP), which leverages strict-priority queuing at switches to enable work-conserving best-effort traffic.
Abstract
Deterministic networking is essential for safety-critical applications in automotive, industrial, and aerospace systems, where bounded end-to-end latency must be guaranteed for time-critical traffic. Time-Sensitive Networking (TSN) provides the mechanisms to achieve such guarantees, but its deployment requires expensive TSN-capable switches at every hop and complex per-switch configuration that hinders runtime reconfiguration. This paper presents SbDN, a Multi-Agent Source-based architecture that achieves TSN-grade determinism using commodity Ethernet switches. SbDN moves all scheduling intelligence to a centralized controller composed of three cooperating agents and enforces the computed configurations exclusively at the source endpoints, leaving switches as simple forwarding elements. We propose two methods: Temporal Network Partitioning (TNP), which provides strict temporal isolation on pure FIFO switches, and Traffic Prioritization (TP), which leverages strict-priority queuing at switches to enable work-conserving best-effort traffic. Both methods are formally proven to guarantee that all admitted time-critical flows meet their end-to-end deadlines. Evaluation across 40 benchmark configurations on two topologies shows that TNP and TP achieve 100\% admission of time-critical traffic in every scenario, with scheduling times in the low-millisecond range suitable for safe runtime reconfiguration. Compared to a standard TSN baseline, SbDN delivers superior time-critical latency at a fraction of the switch infrastructure cost, while offering competitive best-effort throughput through the choice between the two methods.
This paper presents a software-defined Time-Sensitive Networking (TSN) architecture that implements the IEEE 802.1Qcr Asynchronous Traffic Shaper (ATS) using Extended Berkeley Packet Filter (eBPF) technology within Linux-based TSN bridges. By moving traffic shaping logic to the kernel level, our solution eliminates the...
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This work presents a comprehensive overview of the TSN deployment lifecycle, current challenges, limitations of existing tools, and future research directions for TSN deployment and management, and identifies key research gaps from a deployment perspective and provides guidance for the development of next-generation de...
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The nascTime framework on OMNeT++/Simu5G is used to evaluate how many TSN endpoints a single 5G NR cell can bridge before per-flow QoS degrades, showing that sub-3 ms TSN deadlines may require radio-configuration changes such as configured grants or higher numerology.
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The lack of determinism restricts the integration of safety-critical applications into Edge–Fog–Cloud (EFC) architectures. Existing EFC schedulers are typically designed for dynamic, best-effort operation based on unmanaged resource allocation and elastic virtualization. This paradigm introduces unbounded queueing, res...
Omar Hekal, Josepaul Paulachan, Daniel Onwuchekwa et al.· Future Internet· 0 citations
BASE-T1S is a low-cost multidrop Ethernet technology whose shared-medium access is governed by Physical Layer Collision Avoidance (PLCA). While attractive for automotive zonal edge networks, PLCA introduces non-trivial bus-access latency whose worst case depends on the interaction of roundrobin arbitration, empty and o...
Shengjie Xu, Prateek Ganguli, K. Shazzad et al.· IEEE International Conferenc...· 0 citations
Recent in-vehicle networks (IVN) have witnessed growing adoption of automotive Ethernet, driven by increasing bandwidth demands and the transition to zonal architectures. In particular, the use of 10BASE-T1S is expanding to extend Ethernet beyond backbone networks to edge devices, enabling the realization of an “All-Et...
Jongwha Ahn, Pusik Park· IEEE Access· 0 citations
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