Abstract

Deterministic latency is an urgent demand to pursue the continuous increase in intelligence in several real-time applications, such as connected vehicles and automation industries. A time-sensitive network (TSN) is a new framework introduced to serve these applications. Several functions are defined in the TSN standard to support time-triggered (TT) requirements, such as IEEE 802.1Qbv and IEEE 802.1Qbu for traffic scheduling and preemption mechanisms, respectively. However, implementing strict timing constraints to support scheduled traffic can miss the needs of unscheduled real-time flows. Accordingly, more relaxed scheduling algorithms are required. In this paper, we introduce the flexible window-overlapping scheduling (FWOS) algorithm that optimizes the overlapping among TT windows by three different metrics: the priority of overlapping, the position of overlapping, and the overlapping ratio (OR). An analytical model for the worst-case end-to-end delay (WCD) is derived using the network calculus (NC) approach considering the relative relationships between window offsets for consecutive nodes and evaluated under a realistic vehicle use case. While guaranteeing latency deadline for TT traffic, the FWOS algorithm defines the maximum allowable OR that maximizes the bandwidth available for unscheduled transmission. Even under a non-overlapping scenario, less pessimistic latency bounds have been obtained using FWOS than the latest related works.

Highlights

  • There is an urgent demand for high-speed and deterministic end-to-end communications to integrate several real-time applications

  • time-sensitive network (TSN) technology is defined based on several TT-Ethernet amendments

  • There is a concern that soft real-time traffic could miss their requirements under strict timing constraints in gate control list (GCL) designs

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Summary

Introduction

There is an urgent demand for high-speed and deterministic end-to-end communications to integrate several real-time applications. It was used to build several relevant protocols, such as Audio/Video Bridging Ethernet (AVB-Ethernet) and time-triggered Ethernet (TT-Ethernet) networks These technologies have provided several real-time functions, their capabilities are unable to manage the control flows in safety-critical systems (e.g., autonomous vehicles) and handle the continuous increase in such applications’ intelligence. The amendments include timing and access control aspects to guarantee data transport with a deterministic low latency, extremely low delay variation, and zero congestion loss for urgent traffic. These features have attracted many researchers and companies to the TSN framework for their interests [2]

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