Quantifying And Predicting The Influence Of Execution Platform On Software Component Performance
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Quantifying and Predicting the Influence of Execution Platform on Software Component Performance
Author: Michael Kuperberg
language: en
Publisher: KIT Scientific Publishing
Release Date: 2014-09
The performance of software components depends on several factors, including the execution platform on which the software components run. To simplify cross-platform performance prediction in relocation and sizing scenarios, a novel approach is introduced in this thesis which separates the application performance profile from the platform performance profile. The approach is evaluated using transparent instrumentation of Java applications and with automated benchmarks for Java Virtual Machines.
Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments
Author: Hauck, Michael
language: en
Publisher: KIT Scientific Publishing
Release Date: 2014-02-11
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.