Quantifying and Predicting the Influence of Execution Platform on Software Component Performance
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 applicatio...
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| Format: | Online |
| Idioma: | anglès |
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KIT Scientific Publishing
2021
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| Accés en línia: | 35653 |
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| _version_ | 1869526511729508352 |
|---|---|
| author | Kuperberg, Michael |
| author_browse | Kuperberg, Michael |
| author_facet | Kuperberg, Michael |
| author_sort | Kuperberg, Michael |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-57435 |
| 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-574352023-12-20T18:40:49Z Quantifying and Predicting the Influence of Execution Platform on Software Component Performance Kuperberg, Michael QA75.5-76.95 Components Performance Prediciton Execution Platform Profiling Java Bytecode Software Performance bic Book Industry Communication::U Computing & information technology::UY Computer science 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. 2021-02-12T00:32:52Z 2021-02-12T00:32:52Z 2019-07-30 20:02:02 2010 book 35653 18670067 9783866447417 https://directory.doabooks.org/handle/20.500.12854/57435 eng The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866447417 KIT Scientific Publishing 10.5445/KSP/1000024301 10.5445/KSP/1000024301 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866447417 XVII, 417 p. open access |
| spellingShingle | QA75.5-76.95 Components Performance Prediciton Execution Platform Profiling Java Bytecode Software Performance bic Book Industry Communication::U Computing & information technology::UY Computer science Kuperberg, Michael Quantifying and Predicting the Influence of Execution Platform on Software Component Performance |
| title | Quantifying and Predicting the Influence of Execution Platform on Software Component Performance |
| title_full | Quantifying and Predicting the Influence of Execution Platform on Software Component Performance |
| title_fullStr | Quantifying and Predicting the Influence of Execution Platform on Software Component Performance |
| title_full_unstemmed | Quantifying and Predicting the Influence of Execution Platform on Software Component Performance |
| title_short | Quantifying and Predicting the Influence of Execution Platform on Software Component Performance |
| title_sort | quantifying and predicting the influence of execution platform on software component performance |
| topic | QA75.5-76.95 Components Performance Prediciton Execution Platform Profiling Java Bytecode Software Performance bic Book Industry Communication::U Computing & information technology::UY Computer science |
| topic_facet | QA75.5-76.95 Components Performance Prediciton Execution Platform Profiling Java Bytecode Software Performance bic Book Industry Communication::U Computing & information technology::UY Computer science |
| url | 35653 |
| work_keys_str_mv | AT kuperbergmichael quantifyingandpredictingtheinfluenceofexecutionplatformonsoftwarecomponentperformance |