Modeling and Prediction of I/O Performance in Virtualized Environments

• Autore: Noorshams Omar-Qais
• Pubblicazione: KIT Scientific Publishing, 2017
• Descrizione fisica: 1 online resource (XVIII, 276 p. p.)
• Soggetto non controllato: I/O; Modell; Performance; Performanz; Prediction; VirtualisierungModel; Virtualization; Vorhersage
• Sommario/riassunto: 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.
• Titolo autorizzato: Modeling and Prediction of I
• ISBN: 1000046300
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346782103321
• Lo trovi qui: Univ. Federico II