Modeling and Prediction of I/O Performance in Virtualized Environments

Von:

Noorshams, Omar-Qais [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf ReussnerVerlag: [Erscheinungsort nicht ermittelbar] : KIT Scientific Publishing, 2017Beschreibung: 1 Online-Ressource (XVIII, 276 p.)ISBN:

9783731503590

Online-Ressourcen:

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Zusammenfassung: 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 environmentsPPN: PPN: 1778564968Package identifier: Produktsigel: ZDB-94-OAB

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English