Network Calculus-based Modeling of Time Sensitive Networking Shapers for Industrial Automation Networks

Xiaoyun Liu, Chi Xu, Haibin Yu
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引用次数: 4

Abstract

With the interconnection of distributed devices from different industrial automation networks, heterogeneous traffics with different Quality of Service (QoS) requirements increase dramatically. Shapers in Time-Sensitive Networking (TSN) enable the coexistence of different industrial traffics within a single network infrastructure. In this paper, with full consideration of the time-criticality of different industrial traffics and shaping mechanisms, we propose a network calculus-based modeling scheme for the widely-used Credit Based Shaper (CBS) and Time Aware Shaper (TAS). Then, we analyze the QoS of industrial traffics with different real-time characteristics by CBS and TAS, respectively. To evaluate the accuracy of network calculus-based modeling scheme, we compare our theoretical analysis with simulations, wherein a compactness function is defined to describe QoS compactness. Simulation results verify the effectiveness of proposed modeling scheme, by which we further validate both CBS and TAS can satisfy the QoS of traffics for different industrial automation scenarios.
基于网络演算的工业自动化网络时间敏感网络形状器建模
随着来自不同工业自动化网络的分布式设备的互连,对服务质量(QoS)要求不同的异构流量急剧增加。时间敏感网络(TSN)中的Shapers允许在单个网络基础设施中共存不同的工业流量。本文在充分考虑不同行业流量的时间临界性和塑造机制的基础上,提出了一种基于网络演算法的基于信用的塑造器(CBS)和时间感知塑造器(TAS)的建模方案。然后,分别利用CBS和TAS对具有不同实时性特征的工业流量进行QoS分析。为了评估基于网络演算的建模方案的准确性,我们将理论分析与仿真进行了比较,其中定义了一个紧凑性函数来描述QoS的紧凑性。仿真结果验证了所提建模方案的有效性,进一步验证了CBS和TAS都能满足不同工业自动化场景下流量的QoS要求。
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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