Predicting software performance in symmetric multi-core and multiprocessor Environments

With today's rise of multi-core processors, concurrency becomes a ubiquitous challenge in software development.Performance prediction methods have to reflect the influence of multiprocessing environments on software performance in order to help software architects to find potential performance probl...

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Hovedforfatter: Happe, Jens
Format: Online
Sprog:engelsk
Udgivet: KIT Scientific Publishing 2021
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Online adgang:35420
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author Happe, Jens
author_browse Happe, Jens
author_facet Happe, Jens
author_sort Happe, Jens
collection Directory of Open Access Books
description With today's rise of multi-core processors, concurrency becomes a ubiquitous challenge in software development.Performance prediction methods have to reflect the influence of multiprocessing environments on software performance in order to help software architects to find potential performance problems during early development phases. In this thesis, we address the influence of the operating system scheduler on software performance in symmetric multiprocessing environments.
format Online
id doab-20.500.12854ir-56878
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-568782023-12-20T18:40:52Z Predicting software performance in symmetric multi-core and multiprocessor Environments Happe, Jens QA75.5-76.95 Multiprocessing System Operating System Scheduler Performance Prediction Coloured Petri Nets Multicore Processor bic Book Industry Communication::U Computing & information technology::UY Computer science With today's rise of multi-core processors, concurrency becomes a ubiquitous challenge in software development.Performance prediction methods have to reflect the influence of multiprocessing environments on software performance in order to help software architects to find potential performance problems during early development phases. In this thesis, we address the influence of the operating system scheduler on software performance in symmetric multiprocessing environments. 2021-02-11T23:45:24Z 2021-02-11T23:45:24Z 2019-07-30 20:02:01 2009 book 35420 18670067 9783866443815 https://directory.doabooks.org/handle/20.500.12854/56878 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/9783866443815 KIT Scientific Publishing 10.5445/KSP/1000011806 10.5445/KSP/1000011806 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866443815 IV, 291 p. open access
spellingShingle QA75.5-76.95
Multiprocessing System
Operating System Scheduler
Performance Prediction
Coloured Petri Nets
Multicore Processor
bic Book Industry Communication::U Computing & information technology::UY Computer science
Happe, Jens
Predicting software performance in symmetric multi-core and multiprocessor Environments
title Predicting software performance in symmetric multi-core and multiprocessor Environments
title_full Predicting software performance in symmetric multi-core and multiprocessor Environments
title_fullStr Predicting software performance in symmetric multi-core and multiprocessor Environments
title_full_unstemmed Predicting software performance in symmetric multi-core and multiprocessor Environments
title_short Predicting software performance in symmetric multi-core and multiprocessor Environments
title_sort predicting software performance in symmetric multi core and multiprocessor environments
topic QA75.5-76.95
Multiprocessing System
Operating System Scheduler
Performance Prediction
Coloured Petri Nets
Multicore Processor
bic Book Industry Communication::U Computing & information technology::UY Computer science
topic_facet QA75.5-76.95
Multiprocessing System
Operating System Scheduler
Performance Prediction
Coloured Petri Nets
Multicore Processor
bic Book Industry Communication::U Computing & information technology::UY Computer science
url 35420
work_keys_str_mv AT happejens predictingsoftwareperformanceinsymmetricmulticoreandmultiprocessorenvironments