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首页> 外文期刊>International journal of adaptive, resilient, and autonomic systems >Duty Cycle Measurement Techniques for Adaptive and Resilient Autonomic Systems
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Duty Cycle Measurement Techniques for Adaptive and Resilient Autonomic Systems

机译：自适应和弹性自治系统的占空比测量技术

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When systems are deployed in environments where change is the rule rather than the exception, adaptability and resilience play a crucial role in order to preserve good quality of service. This work analyses methods that can be adopted for the duty cycle measurement of sensor-originated waveforms. These methods start from the assumption that no regular sampling is possible and thus they are naturally thought for an adaptive coexistence with other heterogeneous and variable tasks. Hence, the waveform carrying the information from low-priority sensors can be sampled only at instants that are non-controlled. To tackle this problem, this paper proposes some algorithms for the duty cycle measurement of a digital pulse train signal that is sampled at random instants. The solutions are easy to implement and lightweight so that they can be scheduled in extremely loaded microcontrollers. The results show a fast convergence to the duty cycle value; in particular, a considerable gain with respect to other known solutions is obtained in terms of the average number of samples necessary to evaluate the duty cycle with a desired accuracy is obtained.
机译：当将系统部署在以变化为主导而不是例外的环境中时，适应性和弹性起着至关重要的作用，以保持良好的服务质量。这项工作分析了可用于传感器起源波形的占空比测量的方法。这些方法从无法进行常规采样的假设出发，因此自然而然地认为它们可与其他异类和可变任务自适应地共存。因此，携带来自低优先级传感器的信息的波形只能在不受控制的瞬间进行采样。为了解决这个问题，本文提出了一些用于在随机瞬间采样的数字脉冲序列信号的占空比测量的算法。该解决方案易于实现且轻巧，因此可以在负载极高的微控制器中进行调度。结果表明占空比值快速收敛；特别是，相对于以已知精度评估占空比所需的平均样本数而言，相对于其他已知解决方案而言，获得了可观的收益。

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