Independent yet Tight WCRT Analysis for Individual Priority Classes in Ethernet AVB

Jingyue Cao, P. Cuijpers, R. J. Bril, J. Lukkien
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引用次数: 21

Abstract

In the high-tech and automotive industry, bandwidth considerations and widely accepted standardization are two important reasons why Ethernet is currently being considered as an alternative solution for real-time communication (compared to the traditional fieldbusses). Although Ethernet was originally not intended for this purpose, the development of the Ethernet AVB standard enables its use for transporting high-volume data (e.g. from cameras and entertainment applications) with latency guarantees. The traditional busy-period analysis that ensures these latency guarantees relies on knowledge of all data streams, including interference. However, for complex industrial systems, the assumption that characteristics of all interfering data streams are known, is not realistic. As the amount of components connected to an Ethernet network grows, it becomes less likely that one can know or enforce the traffic patterns generated by all these components. In this paper, we present an independent real-time analysis based on so-called eligible intervals, which does not rely on any assumptions on interfering priority classes other than those enforced in the Ethernet AVB standard. We prove our analysis is tight when no additional information on interference is known. Furthermore, we compare the results of our approach to the two most recent busy-period analyses, point out sources of pessimism in these earlier works, and discuss the advantages of using eligible-intervals over busy-period analysis when studying idling servers.
以太网AVB中单个优先级类的独立而严密的WCRT分析
在高科技和汽车行业,带宽考虑和广泛接受的标准化是以太网目前被认为是实时通信的替代解决方案(与传统现场总线相比)的两个重要原因。虽然以太网最初并不是为了这个目的而设计的,但以太网AVB标准的发展使其能够在保证延迟的情况下用于传输大容量数据(例如来自摄像机和娱乐应用程序)。确保这些延迟保证的传统繁忙期分析依赖于所有数据流的知识,包括干扰。然而,对于复杂的工业系统,假设所有干扰数据流的特征是已知的,是不现实的。随着连接到以太网的组件数量的增长,了解或执行所有这些组件生成的流量模式的可能性越来越小。在本文中,我们提出了一种基于所谓的合格间隔的独立实时分析,它不依赖于除以太网AVB标准中强制实施的干扰优先级之外的任何假设。我们证明我们的分析是严密的,当没有额外的信息干扰是已知的。此外,我们将我们的方法的结果与最近的两个繁忙期分析进行了比较,指出了这些早期工作中悲观情绪的来源,并讨论了在研究空闲服务器时使用合适间隔而不是繁忙期分析的优势。
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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