Modeling and Prediction of I/O Performance in Virtualized Environments
Noorshams, Omar-Qais
Modeling and Prediction of I/O Performance in Virtualized Environments - KIT Scientific Publishing 2017 - 1 electronic resource (XVIII, 276 p. p.)
Open Access
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.
Creative Commons
English
KSP/1000046300 9783731503590
10.5445/KSP/1000046300 doi
Modell Vorhersage Performanz Prediction I/O VirtualisierungModel Performance Virtualization
Modeling and Prediction of I/O Performance in Virtualized Environments - KIT Scientific Publishing 2017 - 1 electronic resource (XVIII, 276 p. p.)
Open Access
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.
Creative Commons
English
KSP/1000046300 9783731503590
10.5445/KSP/1000046300 doi
Modell Vorhersage Performanz Prediction I/O VirtualisierungModel Performance Virtualization