Omar-Qais Noorshams | Modeling and Prediction of I/O Performance in Virtualized Environments

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Omar-Qais Noorshams

Modeling and Prediction of I/O Performance in Virtualized Environments

(The Karlsruhe Series on Software Design and Quality ; 18)

AutorNoorshams, Omar-Qais

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783731503590

UmfangXVIII, 276 S.

Veröffentlicht
am:10.03.2017

Erscheinungs-
jahr2017

Verfügbarkeit04

Downloads:

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.