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Modeling and Prediction of I/O Performance in Virtualized Environments
Noorshams, Omar-Qais
2017
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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.
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Keywords
- I/O
- Modell
- Performance
- Performanz
- prediction
- VirtualisierungModel
- Virtualization
- Vorhersage
Links
DOI: 10.5445/KSP/1000046300Editions