用FTT-SE分析以太网中零星预约的效率

Z. Iqbal, L. Almeida, M. Ashjaei
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引用次数: 1

摘要

以太网是连接实时嵌入式系统(如汽车)的一个很有前途的候选者,它已经在几个嵌入式范围(如飞机和火车)中使用。此外,其更高的带宽使分散的嵌入式系统应用程序能够通过所谓的物联网交换大量数据,例如广域视频传感。在这个领域,网络保留是一个重要的设计元素,它有利于时间域的可组合性,从而支持复杂系统的设计。然而,由于过度规范,保留可能会对网络带宽效率产生负面影响,特别是当它们被设计为满足最坏情况的延迟约束时。在这项工作中,我们使用一种提供实时预订的特定以太网协议,即FTT-SE,并通过广泛的模拟评估了与异步消息相关的零星预订的最坏情况网络延迟分析的效率。从本质上讲,我们将分析的最坏情况延迟与使用两个数据集分别包含多达20000和100000个消息集的模拟中观察到的延迟进行比较,并更改系统配置,即消息集的属性以及网络和协议配置参数。我们发现,对于消息集中相当大比例的消息(平均高达60%),分析是准确的,即与观察结果相匹配。相反,我们发现一小部分消息集(低于6%)产生了相当悲观的分析估计,超出了观察值的6倍,从而对效率产生了负面影响。我们在论文中提出的结果,特别是它们的分布,告诉系统设计者如何在严格的时间限制下调整他们的设计以提高网络带宽效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing the efficiency of sporadic reservations on ethernet with FTT-SE
Ethernet is a promising candidate for networking real-time embedded systems such as automobiles, and it is already used in several embedded scopes, such as airplanes and trains. Moreover, its higher bandwidth enables applications made of dispersed embedded systems that exchange large amounts of data through the so-called Internet-of-Things, such as wide-area video sensing. In this realm, network reservations are an important design element that favor composability in the time domain thereby supporting the design of complex systems. However, reservations may impact negatively on the network bandwidth efficiency due to over-specification, particularly when they are designed to meet worst-case delay constraints. In this work, we use a specific Ethernet protocol that provides real-time reservations, namely FTT-SE, and we assess through extensive simulations the efficiency of a worst-case network delay analysis for sporadic reservations associated to asynchronous messages. Essentially, we compare the analytical worst-case delay with the one observed in the simulations using two data sets comprising up to 20000 and 100000 message sets, respectively, and we change the system configuration, namely properties of the message sets and network and protocol configuration parameters. We find that the analysis is accurate, i.e. matches observations, for a significant percentage of messages in the message sets (up to 60% on average). Conversely, we found that a small percentage of message sets (below 6%) generated rather pessimistic analytic estimates exceeding the observations by 6 times, thus with a negative impact on efficiency. The results we present in the paper, particularly their distributions, inform system designers of how to tune their designs to improve network bandwidth efficiency under strict timing constraints.
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