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The Multi-Domain Frame Packing Problem for CAN-FD

机译:CAN-FD的多域框架打包问题

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The Controller Area Network with Flexible Data-Rate (CAN-FD) is a new communication protocol to meet the bandwidth requirements for the constantly growing volume of data exchanged in modern vehicles. The problem of frame packing for CAN-FD, as studied in the literature, assumes a single sub-system where one CAN-FD bus serves as the communication medium among several Electronic Control Units (ECUs). Modern automotive electronic systems, on the other hand, consist of several sub-systems, each facilitating a certain functional domain such as powertrain, chassis and suspension. A substantial fraction of all signals is exchanged across sub-systems. In this work, we study the frame packing problem for CAN-FD with multiple sub-systems, and propose a two-stage optimization framework. In the first stage, we pack the signals into frames with the objective of minimizing the bandwidth utilization. In the second stage, we extend Audsley's algorithm to assign priorities/identifiers to the frames. In case the resulting solution is not schedulable, our framework provides a potential repacking method. We propose two solution approaches: (a) an Integer Linear Programming (ILP) formulation that provides an optimal solution but is computationally expensive for industrial-size problems; and (b) a greedy heuristic that scales well and provides solutions that are comparable to optimal solutions. Experimental results show the efficiency of our optimization framework in achieving feasible solutions with low bandwidth utilization. The results also show a significant improvement over the case when there is no cross-domain consideration (as in prior work).
机译:具有灵活数据速率的控制器局域网(CAN-FD)是一种新的通信协议,可以满足现代汽车中不断增长的数据交换量的带宽需求。如文献中所研究的,CAN-FD的帧打包问题假设一个子系统,其中一个CAN-FD总线充当多个电子控制单元(ECU)之间的通信介质。另一方面,现代汽车电子系统由几个子系统组成,每个子系统都有助于某些功能领域,例如动力总成,底盘和悬架。所有信号的很大一部分在子系统之间交换。在这项工作中,我们研究了具有多个子系统的CAN-FD的帧打包问题,并提出了一个两阶段的优化框架。在第一阶段,我们将信号打包到帧中,以最小化带宽利用率。在第二阶段,我们扩展了Audsley的算法,为帧分配优先级/标识符。如果无法确定最终的解决方案,我们的框架提供了一种潜在的重新打包方法。我们提出了两种解决方法:(a)整数线性规划(ILP)公式可提供最佳解决方案,但对于工业规模的问题在计算上是昂贵的; (b)贪婪启发式方法,可很好地扩展并提供与最佳解决方案可比的解决方案。实验结果表明,我们的优化框架可有效地实现低带宽利用率的可行解决方案。结果也表明,与没有跨域考虑的情况相比(如先前的工作),该方法有了显着的改进。

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