Modeling and Prediction of I/O Performance in Virtualized Environments

We present a novel performance modeling approach tailored to I/O performance prediction in virtualized environments. The main idea is to identify important performance-influencing factors and to develop storage-level I/O performance models. To increase the practical applicability of these models, we...

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Auteur principal: Noorshams, Omar-Qais
Format: Online
Langue:anglais
Publié: KIT Scientific Publishing 2021
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Accès en ligne:34600
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author Noorshams, Omar-Qais
author_browse Noorshams, Omar-Qais
author_facet Noorshams, Omar-Qais
author_sort Noorshams, Omar-Qais
collection Directory of Open Access Books
description We present a novel performance modeling approach tailored to I/O performance prediction in virtualized environments. The main idea is to identify important performance-influencing factors and to develop storage-level I/O performance models. To increase the practical applicability of these models, we combine the low-level I/O performance models with high-level software architecture models. Our approach is validated in a variety of case studies in state-of-the-art, real-world environments.
format Online
id doab-20.500.12854ir-53685
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
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spelling doab-20.500.12854ir-536852023-12-20T18:40:46Z Modeling and Prediction of I/O Performance in Virtualized Environments Noorshams, Omar-Qais QA75.5-76.95 Modell Vorhersage Performanz Prediction I/O VirtualisierungModel Performance Virtualization bic Book Industry Communication::U Computing & information technology::UY Computer science We present a novel performance modeling approach tailored to I/O performance prediction in virtualized environments. The main idea is to identify important performance-influencing factors and to develop storage-level I/O performance models. To increase the practical applicability of these models, we combine the low-level I/O performance models with high-level software architecture models. Our approach is validated in a variety of case studies in state-of-the-art, real-world environments. 2021-02-11T19:53:51Z 2021-02-11T19:53:51Z 2019-07-30 20:01:58 2017 book 34600 18670067 9783731503590 https://directory.doabooks.org/handle/20.500.12854/53685 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/9783731503590 KIT Scientific Publishing 10.5445/KSP/1000046300 10.5445/KSP/1000046300 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731503590 XVIII, 276 p. open access
spellingShingle QA75.5-76.95
Modell
Vorhersage
Performanz
Prediction
I/O
VirtualisierungModel
Performance
Virtualization
bic Book Industry Communication::U Computing & information technology::UY Computer science
Noorshams, Omar-Qais
Modeling and Prediction of I/O Performance in Virtualized Environments
title Modeling and Prediction of I/O Performance in Virtualized Environments
title_full Modeling and Prediction of I/O Performance in Virtualized Environments
title_fullStr Modeling and Prediction of I/O Performance in Virtualized Environments
title_full_unstemmed Modeling and Prediction of I/O Performance in Virtualized Environments
title_short Modeling and Prediction of I/O Performance in Virtualized Environments
title_sort modeling and prediction of i o performance in virtualized environments
topic QA75.5-76.95
Modell
Vorhersage
Performanz
Prediction
I/O
VirtualisierungModel
Performance
Virtualization
bic Book Industry Communication::U Computing & information technology::UY Computer science
topic_facet QA75.5-76.95
Modell
Vorhersage
Performanz
Prediction
I/O
VirtualisierungModel
Performance
Virtualization
bic Book Industry Communication::U Computing & information technology::UY Computer science
url 34600
work_keys_str_mv AT noorshamsomarqais modelingandpredictionofioperformanceinvirtualizedenvironments