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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| Hoofdauteur: | |
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| Formaat: | Elektronisch Hoofdstuk |
| Taal: | Engels |
| Gepubliceerd in: |
KIT Scientific Publishing
2017
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| Reeks: | The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner
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| Onderwerpen: | |
| Online toegang: | DOAB: download the publication DOAB: description of the publication |
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| Samenvatting: | 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. |
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| Fysieke beschrijving: | 1 electronic resource (XVIII, 276 p. p.) |
| ISBN: | KSP/1000046300 9783731503590 |
| Toegang: | Open Access |