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...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2014
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- spa
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16783
- Palabra clave:
- Rendimiento de software
Ciencias de la computación
Software
Sistema de software
- Rights
- License
- Abierto (Texto Completo)
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oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16783 |
network_acronym_str |
UTADEO2 |
network_name_str |
Expeditio: repositorio UTadeo |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
title |
Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
spellingShingle |
Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments Rendimiento de software Ciencias de la computación Software Sistema de software |
title_short |
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_sort |
Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments |
dc.subject.spa.fl_str_mv |
Rendimiento de software |
topic |
Rendimiento de software Ciencias de la computación Software Sistema de software |
dc.subject.lemb.spa.fl_str_mv |
Ciencias de la computación Software Sistema de software |
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. |
publishDate |
2014 |
dc.date.created.none.fl_str_mv |
2014 |
dc.date.accessioned.none.fl_str_mv |
2021-01-20T20:19:05Z |
dc.date.available.none.fl_str_mv |
2021-01-20T20:19:05Z |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2f33 |
format |
http://purl.org/coar/resource_type/c_2f33 |
dc.identifier.isbn.none.fl_str_mv |
978-3-731-50138-1 |
dc.identifier.issn.none.fl_str_mv |
1867-0067 |
dc.identifier.other.none.fl_str_mv |
https://www.ksp.kit.edu/9783731501381 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12010/16783 |
dc.identifier.doi.none.fl_str_mv |
10.5445/KSP/1000037233 |
identifier_str_mv |
978-3-731-50138-1 1867-0067 10.5445/KSP/1000037233 |
url |
https://www.ksp.kit.edu/9783731501381 http://hdl.handle.net/20.500.12010/16783 |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Abierto (Texto Completo) |
dc.rights.creativecommons.none.fl_str_mv |
https://creativecommons.org/licenses/by-sa/4.0/legalcode |
rights_invalid_str_mv |
Abierto (Texto Completo) https://creativecommons.org/licenses/by-sa/4.0/legalcode http://purl.org/coar/access_right/c_abf2 |
dc.format.extent.spa.fl_str_mv |
346 páginas |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
KIT Scientific Publishing |
institution |
Universidad de Bogotá Jorge Tadeo Lozano |
bitstream.url.fl_str_mv |
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16783/2/license.txt https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16783/1/Automated%20Experiments%20for%20Deriving%20Performance-relevant%20Properties%20of%20Software%20Execution%20Environments_56.pdf https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16783/3/Automated%20Experiments%20for%20Deriving%20Performance-relevant%20Properties%20of%20Software%20Execution%20Environments_56.pdf.jpg |
bitstream.checksum.fl_str_mv |
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bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional - Universidad Jorge Tadeo Lozano |
repository.mail.fl_str_mv |
expeditio@utadeo.edu.co |
_version_ |
1814213647901130752 |
spelling |
2021-01-20T20:19:05Z2021-01-20T20:19:05Z2014978-3-731-50138-11867-0067https://www.ksp.kit.edu/9783731501381http://hdl.handle.net/20.500.12010/1678310.5445/KSP/1000037233346 páginasapplication/pdfspaKIT Scientific PublishingRendimiento de softwareCiencias de la computaciónSoftwareSistema de softwareAutomated Experiments for Deriving Performance-relevant Properties of Software Execution EnvironmentsAbierto (Texto Completo)https://creativecommons.org/licenses/by-sa/4.0/legalcodehttp://purl.org/coar/access_right/c_abf2The 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. 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