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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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Hovedforfatter: Noorshams, Omar-Qais
Format: Online
Sprog:engelsk
Udgivet: KIT Scientific Publishing 2021
Fag:
QA75.5-76.95
Modell
Vorhersage
Performanz
Prediction
I/O
VirtualisierungModel
Performance
Virtualization
bic Book Industry Communication::U Computing & information technology::UY Computer science
Online adgang:34600
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Summary: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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