TY  - GEN
AU  - Noorshams,Omar-Qais
TI  - Modeling and Prediction of I/O Performance in Virtualized Environments
SN  - KSP/1000046300
PY  - 2017///
PB  - KIT Scientific Publishing
KW  - Modell
KW  - Vorhersage
KW  - Performanz
KW  - Prediction
KW  - I/O
KW  - VirtualisierungModel
KW  - Performance
KW  - Virtualization
N1  - Open Access
N2  - 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
UR  - https://www.ksp.kit.edu/9783731503590
UR  - https://directory.doabooks.org/handle/20.500.12854/53685
ER  -