双核片上系统的威布尔环境中的认知不确定性传播

Riccardo Pinciroli, A. Bobbio, Cristiana Boichini, Davide Cerotti, M. Gribaudo, A. Miele, Kishor S. Trivedi
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引用次数: 2

摘要

认知不确定性分析解释了不准确的输入参数,并评估了这种不确定性如何传播到输出措施。在这项工作中,我们将重点关注威布尔分布,特别是与多核片上系统的可靠性相关的威布尔分布。我们关注的是一个双核系统,当其中一个核心出现故障时,另一个核心可以处理所有系统的任务。然而,这会导致工作温度升高,从而缩短使用寿命。我们首先讨论当我们从有限的样本集估计威布尔分布的尺度参数时所期望的认知不确定性分布。然后,当我们可以测量第一核和第二核的故障时间时,我们将该过程扩展到考虑两核片上系统的认知不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Epistemic uncertainty propagation in a Weibull environment for a two-core system-on-chip
Epistemic uncertainty analysis accounts for inaccurate input parameters and evaluates how such uncertainty propagates to output measures. In this work we will focus on Weibull distributions, in particular the one related to the reliability of multi-core systems-on-chips. We focus on a two-core system in which, when one of the cores fails, the other can take care of all the systems' tasks. However, this results in an increased operational temperature that leads to a reduced lifetime. We first discuss the epistemic uncertainty distribution that we expect when we estimate the scale parameter of a Weibull distribution from a limited set of samples. We then extend the procedure to consider the epistemic uncertainty in the two core system-on-chip when we can measure the failure times of the first and of the second core.
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