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Abstract
In this paper, the results of an experimental study on the error sensitivities of application data are presented. We develop a portable software-implemented fault-injection (SWIFI) tool that, on top of performing single-bit
flip fault injections and capturing their eects on application behavior, is also data-level aware and tracks the corrupted application data to report their high-level characteristics (usage type, size, user, memory space location). After extensive testing of NPB-serial (7.8M fault injections), we are able to characterize the sensitivities of data based on their high-level characteristics. Moreover, we conclude that application data are error sensitive in parts; depending on their type, they have distinct and wide less-sensitive bit ranges either at the MSBs or LSBs. Among other uses, such gained insight could drive the development of sensitivity-aware protection mechanisms of application
data .
flip fault injections and capturing their eects on application behavior, is also data-level aware and tracks the corrupted application data to report their high-level characteristics (usage type, size, user, memory space location). After extensive testing of NPB-serial (7.8M fault injections), we are able to characterize the sensitivities of data based on their high-level characteristics. Moreover, we conclude that application data are error sensitive in parts; depending on their type, they have distinct and wide less-sensitive bit ranges either at the MSBs or LSBs. Among other uses, such gained insight could drive the development of sensitivity-aware protection mechanisms of application
data .
Original language | English |
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Title of host publication | Computer Safety, Reliability, and Security |
Subtitle of host publication | 34th International Conference, SAFECOMP 2015, Delft, The Netherlands, September 23-25, 2015, Proceedings |
Publisher | Springer International Publishing |
Pages | 151-165 |
Number of pages | 15 |
ISBN (Electronic) | 978-3-319-24255-2 |
ISBN (Print) | 978-3-319-24254-5 |
DOIs | |
Publication status | Published - 26 Sep 2015 |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 9337 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
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