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Main Authors: Wang, Tianhao, Thunig, Robin, Schirmeier, Horst
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2403.20319
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author Wang, Tianhao
Thunig, Robin
Schirmeier, Horst
author_facet Wang, Tianhao
Thunig, Robin
Schirmeier, Horst
contents Soft errors in memories and logic circuits are known to disturb program execution. In this context, the research community has been proposing a plethora of fault-tolerance (FT) solutions over the last decades, as well as fault-injection (FI) approaches to test, measure and compare them. However, there is no agreed-upon benchmarking suite for demonstrating FT or FI approaches. As a replacement, authors pick benchmarks from other domains, e.g. embedded systems. This leads to little comparability across publications, and causes behavioral overlap within benchmarks that were not selected for orthogonality in the FT/FI domain. In this paper, we want to initiate a discussion on what a benchmarking suite for the FT/FI domain should look like, and propose criteria for benchmark selection.
format Preprint
id arxiv_https___arxiv_org_abs_2403_20319
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Towards a Fault-Injection Benchmarking Suite
Wang, Tianhao
Thunig, Robin
Schirmeier, Horst
Software Engineering
Soft errors in memories and logic circuits are known to disturb program execution. In this context, the research community has been proposing a plethora of fault-tolerance (FT) solutions over the last decades, as well as fault-injection (FI) approaches to test, measure and compare them. However, there is no agreed-upon benchmarking suite for demonstrating FT or FI approaches. As a replacement, authors pick benchmarks from other domains, e.g. embedded systems. This leads to little comparability across publications, and causes behavioral overlap within benchmarks that were not selected for orthogonality in the FT/FI domain. In this paper, we want to initiate a discussion on what a benchmarking suite for the FT/FI domain should look like, and propose criteria for benchmark selection.
title Towards a Fault-Injection Benchmarking Suite
topic Software Engineering
url https://arxiv.org/abs/2403.20319