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Open Challenges for Probabilistic Measurement-Based Worst-Case Execution Time

机译:基于概率测量的最坏情况执行时间面临的挑战

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摘要

The worst-case execution time (WCET) is a critical parameter describing the largest value for the execution time of programs. Even though such a parameter is very hard to attain, it is essential as part of guaranteeing a real-time system meets its timing requirements. The complexity of modern hardware has increased the challenges of statically analyzing the WCET and reduced the reliability of purely measuring the WCET. This has led to the emergence of probabilistic WCETs (pWCETs) analysis as a viable technique. The low probability of appearance of large execution times of a program has motivated the utilization of rare events theory like extreme value theory (EVT). As pWCET estimation based on EVT has matured as a discipline, a number of open challenges have become apparent when applying the existing approaches. This letter enumerates key challenges while establishing a state of the art of EVT-based pWCET estimation methods.
机译:最坏情况下的执行时间(WCET)是描述程序执行时间最大值的关键参数。即使很难获得这样的参数,它也是保证实时系统满足其定时要求的一部分是必不可少的。现代硬件的复杂性增加了静态分析WCET的挑战,并降低了纯测量WCET的可靠性。这导致了概率WCET(pWCET)分析作为一种可行技术的出现。出现程序执行时间长的可能性很小,这促使了诸如极值理论(EVT)之类的稀有事件理论的应用。随着基于EVT的pWCET估计已逐渐成为一门学科,在应用现有方法时,许多公开挑战变得显而易见。这封信列举了建立基于EVT的pWCET估计方法的最新技术时遇到的主要挑战。

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