Scheduling Algorithms for Simultaneous Software Updates of Electronic Devices in Vehicles

J. Sommer, V. Feil, E. Adeva Sanz
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引用次数: 2

Abstract

Today's upper-class passenger cars have various interconnected electronic devices. Each device performs complex functions, enabled by software that can be stored in a flash memory. Of these, the devices in the multimedia and infotainment domain contain by far the most software with a size in the order of one Gbyte. In this domain, the devices are the performance bottlenecks, not the communication systems. Throughout the vehicle life cycle, parts of the software have to be frequently updated during maintenance. Today, the software of the devices is updated in a consecutive manner. Due to performance bottlenecks caused by the affected devices, the update can take a long time that leads to high costs. Therefore, the objective is to reduce the total update time by a higher utilization of the common bus resource. In this paper, we introduce and investigate algorithms that update the software of multiple devices simultaneously and evaluate the efficiency of these algorithms. We focus on scheduling algorithms on the Application layer and the logical link control (LLC) layer and model the update process by means of Petri nets. Our studies show that it is most promising to combine a simple scheduling algorithm on the Application layer with Round Robin on the LLC layer.
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车载电子设备软件同步更新的调度算法
今天的高档轿车有各种相互连接的电子设备。每个设备执行复杂的功能,由可以存储在闪存中的软件启用。其中,多媒体和信息娱乐领域的设备包含的软件数量最多,其大小约为1gb。在这个领域中,设备是性能瓶颈,而不是通信系统。在整个车辆生命周期中,部分软件必须在维护期间频繁更新。今天,设备的软件是连续更新的。由于受影响设备造成的性能瓶颈,更新可能需要很长时间,从而导致较高的成本。因此,我们的目标是通过提高公共总线资源的利用率来减少总更新时间。本文介绍并研究了多设备同时更新软件的算法,并对这些算法的效率进行了评价。重点研究了应用层和逻辑链路控制层的调度算法,并利用Petri网对更新过程进行了建模。我们的研究表明,将应用层的简单调度算法与LLC层的轮循算法相结合是最有希望的。
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