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AutorNoorshams, Omar-Qais
VerlagKIT Scientific Publishing, Karlsruhe
ISBN9783731503590
UmfangXVIII, 276 S.
Veröffentlicht
am:10.03.2017
Erscheinungs-
jahr2017
Verfügbarkeit04
Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000046300
Abstract
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.