2018Unpublished venueRequires access

Power/Area-Optimized Fault Tolerance for Safety Critical Applications

Miloš Krstić, Aleksandar Simevski, Markus Ulbricht, Stefan Weidling

Open publisher page 10 citations

Abstract

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

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.

Key concepts: Overhead (engineering), Fault tolerance, Redundancy (engineering), Computer science, Reliability engineering, Software fault tolerance, Embedded system, Fault coverage

Related papers

Back to paper searchBrowse research topicsOriginal source
Power/Area-Optimized Fault Tolerance for Safety Critical Applications — Research Paper | ScholarLens