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dc.contributor.authorNoorshams, Omar-Qais*
dc.date.accessioned2021-02-11T19:53:51Z
dc.date.available2021-02-11T19:53:51Z
dc.date.issued2017*
dc.date.submitted2019-07-30 20:01:58*
dc.identifier34600*
dc.identifier.issn18670067*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/53685
dc.description.abstractWe 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.*
dc.languageEnglish*
dc.relation.ispartofseriesThe Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner*
dc.subjectQA75.5-76.95*
dc.subject.otherModell*
dc.subject.otherVorhersage*
dc.subject.otherPerformanz*
dc.subject.otherPrediction*
dc.subject.otherI/O*
dc.subject.otherVirtualisierungModel*
dc.subject.otherPerformance*
dc.subject.otherVirtualization*
dc.titleModeling and Prediction of I/O Performance in Virtualized Environments*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000046300*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
virtual.oapen_relation_isPublishedBy.publisher_nameKIT Scientific Publishing
virtual.oapen_relation_isPublishedBy.publisher_websitehttp://www.ksp.kit.edu/
oapen.relation.isbn9783731503590*
oapen.pagesXVIII, 276 p.*
oapen.volume18*


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