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

By: Contributor(s): Material type: ArticleSeries: Publication details: KIT Scientific Publishing 2014Description: 1 electronic resource (XVI, 315 p. p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 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.

Creative Commons Licence cc by-sa cc https://creativecommons.org/licenses/by-sa/4.0/

eng

Freely available e-book