安全关键应用的功率/面积优化容错

M. Krstic, A. Simevski, Markus Ulbricht, S. Weidling
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引用次数: 4

摘要

提高系统的可靠性总是伴随着性能/功率/面积开销的高昂代价。通过采用不同类型的冗余,包括硬件、时间、信息、软件或它们的某些组合,可以获得启用错误检测和纠正功能。在许多情况下,强加的开销是巨大的。容错是安全关键应用(例如,自动驾驶)的重要要求,但显著的功率/面积开销是不可接受的。本文总结了几种策略和方法,以减少引入的开销,同时仍然提供相当程度的容错特性。讨论了两种主要的方法:静态和动态。静态方法通过在已实现的容错级别和引入的开销之间进行静态权衡来解决开销问题。另一方面,动态方法基于实际的应用程序需求,并且动态地改变所需的开销以满足应用程序的安全需求。本文总结了该领域的实例和成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power/Area-Optimized Fault Tolerance for Safety Critical Applications
Increasing the reliability of a system always comes with a high price in performance/power/area overhead. Enabling error detection and correction features can be obtained by employing different kinds of redundancy including hardware, time, information, software or some combination of them. In many cases the imposed overhead is enormous. Fault tolerance is an important requirement for safety critical applications (e.g., automated driving), but significant power/area overhead is not acceptable. This paper summarizes several strategies and methods how to reduce the introduced overhead, while still providing a respectable level of fault tolerance features. Two main methodologies are discussed: static and dynamic. Static methods address the overhead by performing a static trade-off between the achieved level of fault tolerance and the introduced overhead. Dynamic methods on the other hand are based on the actual application requirement, and are dynamically varying the required overhead to fulfill the safety requirements of the application. This paper summarizes practical examples and results in this field.
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