Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments
Abstract:
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.
| Zugehörige Institution(en) am KIT | Institut für Programmstrukturen und Datenorganisation (IPD) |
| Publikationstyp | Hochschulschrift |
| Jahr | 2014 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-7315-0138-1 ISSN: 1867-0067 URN: urn:nbn:de:0072-372332 KITopen ID: 1000037233 |
| Verlag | KIT Scientific Publishing, Karlsruhe |
| Umfang | XVI, 315 S. |
| Serie | The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner ; 13 |
| Abschlussart | Dissertation |
| Fakultät | Fakultät für Informatik (INFORMATIK) |
| Institut | Institut für Programmstrukturen und Datenorganisation (IPD) |
| Prüfungsdaten | 07.11.2013 |
| Referent/Betreuer | Prof. R. Reussner |
| Schlagworte | Software Performance Prediction, Experiments, Measurements, Execution Environment, Metamodel |