Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments

By: Material type: ArticleArticleLanguage: English Publication details: KIT Scientific Publishing 2014Description: 1 electronic resource (XVI, 315 p. p.)ISBN:
  • KSP/1000037233
  • 9783731501381
Subject(s): Online resources: Summary: The software execution environment can play a crucial role when analyzing the performance of a software system. In this book, a novel approach for the automated detection of performance-relevant properties of the execution environment is presented. The properties are detected using predefined experiments and integrated into performance prediction tools. The approach is applied to experiments for detecting different CPU, OS, and virtualization properties, and validated in different case studies.
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The software execution environment can play a crucial role when analyzing the performance of a software system. In this book, a novel approach for the automated detection of performance-relevant properties of the execution environment is presented. The properties are detected using predefined experiments and integrated into performance prediction tools. The approach is applied to experiments for detecting different CPU, OS, and virtualization properties, and validated in different case studies.

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