利用形状上下文提高以太网AVB网络的性能界限

Philip Axer, Daniel Thiele, R. Ernst, Jonas Diemer
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引用次数: 31

摘要

新的硬实时高级驾驶员辅助系统,如避碰系统,将通信基础设施的带宽要求推向了一个新的水平。控制器局域网(CAN)和FlexRay正在达到它们的极限。基于以太网的汽车网络(如Ethernet AVB)能够满足这些需求。然而,设计可预测的以太网网络比设计传统的CAN总线要复杂得多。正式的实时性能特征是成功的以太网集成的关键。在本文中,我们提出了一个改进的以太网AVB性能分析,利用流量流的相关性。与相关工作相比,结果明显更紧凑。
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Exploiting shaper context to improve performance bounds of Ethernet AVB networks
New hard real-time Advanced Driver Assistance Systems such as the Collision-Avoidance System push the bandwidth requirements of the communication infrastructure to a new level. Controller Area Network (CAN) and FlexRay are reaching their limits. Ethernet-based automotive networks such as Ethernet AVB are capable of addressing these requirements. However, designing predictable Ethernet networks is more complex than the design of a traditional CAN bus. Formal real-time performance characteristics are key to a successful Ethernet integration. In this paper we present an improved Ethernet AVB performance analysis which exploits traffic-stream correlations. The results are significantly tighter compared to related work.
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