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Invasive Computing for Predictability of Multiple Non-functional Properties: A Cyber-Physical System Case Study

机译:多种非功能属性的可预测性的有创计算:网络物理系统案例研究

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The predictability of non-functional execution qualities is of utmost importance for the successful introduction of multi-core architectures in embedded systems requiring guarantees rather than best effort behavior. Due to the exclusive utilization of claimed resources, invasive computing provides isolation of applications on multi-core systems. This provides composability that allows to characterize and analyze individual applications statically and independent from others. In this paper, we demonstrate the principles of this resource-aware computing paradigm as an enabler for predictability of multiple non-functional properties, i.e., timing and reliability, applied to a cyber-physical system. In particular, we present the application and multi-processor implementation of a reliable and time-predictable acceleration of object detection algorithms for hard real-time control of an inverted pendulum.
机译:非功能执行质量的可预测性对于在需要保证而不是尽力而为的嵌入式系统中成功引入多核体系结构至关重要。由于排他性地使用了要求保护的资源,因此侵入式计算可隔离多核系统上的应用程序。这提供了可组合性,允许静态地且独立于其他应用程序表征和分析各个应用程序。在本文中,我们演示了这种资源感知计算范式的原理,该范式可作为适用于网络物理系统的多个非功能属性(即时间和可靠性)的可预测性的促成因素。特别是,我们介绍了用于倒立摆的硬实时控制的目标检测算法的可靠且时间可预测的加速的应用程序和多处理器实现。

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