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
Otros Autores: Noorshams, Omar-Qais (auth)
Formato: Libro electrónico
Idioma:Inglés
Publicado: KIT Scientific Publishing 2017
Colección:The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009434682306719
Descripción
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.)