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dc.contributor.authorKuperberg, Michael*
dc.date.accessioned2021-02-12T00:32:52Z
dc.date.available2021-02-12T00:32:52Z
dc.date.issued2010*
dc.date.submitted2019-07-30 20:02:02*
dc.identifier35653*
dc.identifier.issn18670067*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/57435
dc.description.abstractThe 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.*
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.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherComponents*
dc.subject.otherPerformance Prediciton*
dc.subject.otherExecution Platform Profiling*
dc.subject.otherJava Bytecode*
dc.subject.otherSoftware Performance*
dc.titleQuantifying and Predicting the Influence of Execution Platform on Software Component Performance*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000024301*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783866447417*
oapen.pagesXVII, 417 p.*
oapen.volume5*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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