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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Detalles Bibliográficos
Autor principal: Noorshams, Omar-Qais (auth)
Formato: Electrónico Capítulo de libro
Lenguaje:inglés
Publicado: KIT Scientific Publishing 2017
Colección:The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
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Acceso en línea:DOAB: download the publication
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Sumario: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.
Descripción Física:1 electronic resource (XVIII, 276 p. p.)
ISBN:KSP/1000046300
9783731503590
Acceso:Open Access