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DOI: 10.5445/KSP/1000046300
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Modeling and Prediction of I/O Performance in Virtualized Environments

Noorshams, Omar-Qais

Abstract (englisch):
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.


Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Hochschulschrift
Jahr 2017
Sprache Englisch
Identifikator ISBN: 978-3-7315-0359-0
ISSN: 1867-0067
URN: urn:nbn:de:0072-463003
KITopen ID: 1000046300
Verlag KIT Scientific Publishing, Karlsruhe
Umfang XVIII, 276 S.
Serie The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner ; 18
Abschlussart Dissertation
Prüfungsdaten 12.02.2015
Schlagworte Modell, Vorhersage, Performanz, I/O, Virtualisierung Model, Prediction, Performance, I/O, Virtualization
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