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  • Modeling and Prediction of I/O Performance in Virtualized Environments

    Omar-Qais Noorshams

    Band 18 von The Karlsruhe Series on Software Design and Quality
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    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.

    Umfang: XVIII, 276 S.

    Preis: €44.00 | £40.00 | $77.00

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    Empfohlene Zitierweise
    Noorshams, O. 2017. Modeling and Prediction of I/O Performance in Virtualized Environments. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000046300
    Noorshams, O.-Q., 2017. Modeling and Prediction of I/O Performance in Virtualized Environments. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000046300
    Noorshams, O-Q. Modeling and Prediction of I/O Performance in Virtualized Environments. KIT Scientific Publishing, 2017. DOI: https://doi.org/10.5445/KSP/1000046300
    Noorshams, O.-Q. (2017). Modeling and Prediction of I/O Performance in Virtualized Environments. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000046300
    Noorshams, Omar-Qais. 2017. Modeling and Prediction of I/O Performance in Virtualized Environments. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000046300




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    Weitere Informationen

    Veröffentlicht am 10. März 2017

    Sprache

    Englisch

    Seitenanzahl:

    314

    ISBN
    Paperback 978-3-7315-0359-0

    DOI
    https://doi.org/10.5445/KSP/1000046300