01717nam 2200409z- 450 9910346782103321202102111000046300(CKB)4920000000100702(oapen)https://directory.doabooks.org/handle/20.500.12854/53685(oapen)doab53685(EXLCZ)99492000000010070220202102d2017 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierModeling and Prediction of I/O Performance in Virtualized EnvironmentsKIT Scientific Publishing20171 online resource (XVIII, 276 p. p.)The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner3-7315-0359-X 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.I/OModellPerformancePerformanzPredictionVirtualisierungModelVirtualizationVorhersageNoorshams Omar-Qaisauth1314085BOOK9910346782103321Modeling and Prediction of I3031685UNINA