Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments
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 experi...
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| Format: | Online |
| Sprog: | engelsk |
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KIT Scientific Publishing
2021
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| Online adgang: | 34608 |
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| _version_ | 1869520025788874752 |
|---|---|
| author | Hauck, Michael |
| author_browse | Hauck, Michael |
| author_facet | Hauck, Michael |
| author_sort | Hauck, Michael |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-41638 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-416382023-12-20T18:40:46Z Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments Hauck, Michael QA75.5-76.95 Execution Environment Measurements Experiments Metamodel Software Performance Prediction bic Book Industry Communication::U Computing & information technology::UY Computer science 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. 2021-02-11T08:43:48Z 2021-02-11T08:43:48Z 2019-07-30 20:01:58 2014 book 34608 18670067 9783731501381 https://directory.doabooks.org/handle/20.500.12854/41638 eng The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731501381 KIT Scientific Publishing 10.5445/KSP/1000037233 10.5445/KSP/1000037233 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731501381 XVI, 315 p. open access |
| spellingShingle | QA75.5-76.95 Execution Environment Measurements Experiments Metamodel Software Performance Prediction bic Book Industry Communication::U Computing & information technology::UY Computer science Hauck, Michael Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
| title | Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
| title_full | Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
| title_fullStr | Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
| title_full_unstemmed | Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
| title_short | Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
| title_sort | automated experiments for deriving performance relevant properties of software execution environments |
| topic | QA75.5-76.95 Execution Environment Measurements Experiments Metamodel Software Performance Prediction bic Book Industry Communication::U Computing & information technology::UY Computer science |
| topic_facet | QA75.5-76.95 Execution Environment Measurements Experiments Metamodel Software Performance Prediction bic Book Industry Communication::U Computing & information technology::UY Computer science |
| url | 34608 |
| work_keys_str_mv | AT hauckmichael automatedexperimentsforderivingperformancerelevantpropertiesofsoftwareexecutionenvironments |