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Shared Data from a Study of Measurement Uncertainty in Fault Injection

Authors :
Daniel Skarin
Johan Karlsson
Raul Barbosa
Source :
ICDCS Workshops
Publication Year :
2010
Publisher :
IEEE, 2010.

Abstract

Experimental dependability studies usually produce an amount of data substantially greater than what can be presented in a research paper or a technical report. For this reason, authors condensate the results into more succinct forms that allow them to convey their message. Since a large amount of the original data is left unexplored, sharing it allows other teams to discover additional facts (as well as to compare the results to other studies). In a previous paper, we investigated sources of uncertainty in measurement results obtained using three different fault injection techniques. The resulting experimental data was shared in the AMBER raw data repository. This paper gives an overview of the study and makes an attempt at further exploring the shared data.

Details

Database :
OpenAIRE
Journal :
2010 IEEE 30th International Conference on Distributed Computing Systems Workshops
Accession number :
edsair.doi...........12926f93b3ac36599840f0b2ef156ebf
Full Text :
https://doi.org/10.1109/icdcsw.2010.68