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Schedulability analysis of distributed cyber-physical applications on mixed time-/event-triggered bus architectures with retransmissions

机译:具有重传的时间/事件触发的混合总线体系结构上的分布式网络物理应用程序的可调度性分析

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In this paper we study the setup where multiple cyber-physical applications are partitioned and mapped onto spatially distributed electronic control units (ECUs). Further, applications communicate over a mixed time-/event-triggered bus like FlexRay. Such a setting commonly arises in automotive and other distributed cyber-physical systems. All control messages mapped onto the time-triggered or static segment of the bus result in negligible/zero communication delays (viz., the bus and the ECUs can be perfectly synchronized) and hence good control performance. At the other extreme, all messages scheduled in the priority-driven dynamic segment often result in poor control performance because of the intrinsic timing non-determinism of priority-based protocols. In this paper we are concerned with the intermediate case — where messages are dynamically moved between the time- and event-triggered segments in order to meet performance requirements in the presence of disturbances — and formally study the schedulability analysis problem on the bus. In particular, we propose a novel scheduling strategy that considerably reduces the number of static time-triggered slots required in such a switching scheme to meet specified performance requirements. The basic premise of our work is that time-triggered slots are expensive and, hence, they should be used sparingly. We further demonstrate the benefits of our proposed scheme through a number of illustrative examples.
机译:在本文中,我们研究了将多个网络物理应用程序分区并映射到空间分布式电子控制单元(ECU)的设置。此外,应用程序通过混合的时间/事件触发总线(如FlexRay)进行通信。这种设置通常出现在汽车和其他分布式网络物理系统中。映射到总线的时间触发或静态段上的所有控制消息都会导致可忽略的零通讯延迟(即总线和ECU可以完全同步),因此具有良好的控制性能。在另一种极端情况下,由于基于优先级的协议固有的时序不确定性,在优先级驱动的动态段中调度的所有消息通常会导致较差的控制性能。在本文中,我们关注中间情况(即消息在时间和事件触发的段之间动态移动,以便在存在干扰的情况下满足性能要求),并正式研究总线上的可调度性分析问题。特别地,我们提出了一种新颖的调度策略,该策略大大减少了在这种交换方案中满足特定性能要求所需的静态时间触发时隙的数量。我们工作的基本前提是时间触发的插槽价格昂贵,因此应谨慎使用。我们通过许多示例性例子进一步证明了我们提出的方案的好处。

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