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Improving Worst-Case Delay Analysis for Traffic of Additional Stream Reservation Class in Ethernet-AVB Network

机译:改进以太网 - AVB网络中额外流预留类流量的最坏情况延迟分析

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摘要

With the increase in the number of Electronic Control Units (ECUs) and future requirements for vehicle functions, two SR (Stream Reservation) traffic classes may not be sufficient to ensure fulfilment of constraints for multiple traffic types with individual timing requirements transmitted in the Ethernet-AVB (Audio Video Bridging) networks. The goal of this paper is to determine the worst-case delay for an additional SR traffic class under the CBS (Credit-Based Shaper) algorithm. Delay evaluation is based on the impact analysis of CBS on different priority flows, particularly depending on when the credits of both SR class A and B drain from the worst-case perspective. More specifically, both the impact of CBS and the evolution trends of credit on different priority class flows are first analyzed from the worst-case perspective. Then, for an additional SR class, two types of worst-case delay models are established with the CBS configuration suggestions. Finally, an approach to calculate the worst-case queuing delay is proposed. Moreover, the worst-case end-to-end delay is determined by the network calculus approach and simulation. Numerical results show that the delay bounds of our models are tighter than those of other models, which is beneficial to the development of Ethernet-AVB for in-vehicle networking.
机译:随着电子控制单元(ECU)数量的增加和车辆函数的未来要求,两个SR(流预留)流量类可能不足以确保在以太网中传输的各个时序要求实现多种流量类型的约束 - AVB(音频视频桥接)网络。本文的目标是确定CBS(基于信用基础)算法下的额外SR流量类的最坏情况延迟。延迟评估是基于CBS对不同优先级流量的影响分析,特别是根据SR类A和B的信用从最坏情况的角度来看。更具体地说,首先从最坏情况的角度分析了CBS对不同优先级流量的信用的影响。然后,对于额外的SR类,使用CBS配置建议建立两种类型的最坏情况延迟模型。最后,提出了一种计算最坏情况排队延迟的方法。此外,通过网络微积分方法和模拟来确定最坏情况的端到端延迟。数值结果表明,我们模型的延迟范围比其他模型更紧凑,这有利于以太网网络开发用于车载网络。

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