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Quality Assurance for Clusters: Acceptance-, Stress-, and Burn-In Tests for General Purpose Clusters.
Matthias S. Müller
Guido Juckeland
Matthias Jurenz
Michael Kluge
Published in:
HPCC (2007)
Keyphrases
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quality assurance
general purpose
clustering algorithm
hierarchical clustering
quality control
image processing
computational complexity
data points
artificial intelligence
case study
real time
open source
software development
test cases
software testing
software quality
machine learning