Delay Analysis of TSN Based Industrial Networks With Preemptive Traffic Using Network Calculus

Mohamed A. M. Seliem, A. Zahran, D. Pesch
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引用次数: 2

Abstract

Time-Sensitive Networking (TSN) extends traditional Ethernet to support data traffic with ultra-reliability and time-critical requirements for a range of applications in industrial automation, automotive, and aerospace. The TSN standards present guidelines to integrate different types of data traffic over a single converged network. Therefore, it is becoming an enabling technology towards the Industry 4.0 vision of integrating information and operational technologies within future Industrial Internet of Things networks. In this paper, we develop a network calculus based framework to analyse TSN based industrial networks supporting a range of data traffic classes. We apply the framework to study and analyse a well-known industrial use case, Quality Checks After Production (QCAP), with four data traffic types with different requirements in terms of reliability and end-to-end latency. In our evaluation, we validate our framework with a computer simulation model and compare the tightness of the calculated delay bounds to a state-of-the-art approach. We then use our model to analyse the upper bounds on the worst-case delay of the different QCAP traffic types and assess the factors that impact end-to-end delay, e.g. flow offset and critical links. Finally, we compare various credit accumulation rates and their impact on the traffic delay bounds.
基于TSN的工业网络占优时延分析
时间敏感网络(TSN)扩展了传统以太网,以支持工业自动化、汽车和航空航天等一系列应用中具有超可靠性和时间关键要求的数据流量。TSN标准提供了在单一融合网络上集成不同类型数据流量的指导方针。因此,它正在成为在未来工业物联网网络中集成信息和运营技术的工业4.0愿景的使能技术。在本文中,我们开发了一个基于网络演算的框架来分析支持一系列数据流量类别的基于TSN的工业网络。我们应用该框架来研究和分析一个著名的工业用例,即生产后质量检查(QCAP),其中包含四种数据流量类型,它们在可靠性和端到端延迟方面有不同的要求。在我们的评估中,我们用计算机模拟模型验证了我们的框架,并将计算的延迟界的紧密性与最先进的方法进行了比较。然后,我们使用我们的模型来分析不同QCAP流量类型的最坏情况延迟的上限,并评估影响端到端延迟的因素,例如流量偏移和关键链路。最后,我们比较了不同的信用累积率及其对交通延迟界的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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