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Measuring and Improving the Quality of Services Provided by Data Centers: a Case Study

Authors:
Martin Zinner
Kim Feldhoff
Michael Kluge
Matthias Jurenz
Ulf Markwardt
Daniel Sprenger
Holger Mickler
Rui Song
Andreas Tschipang
Björn Gehlsen
Wolfgang E. Nagel

Keywords: Quality of Services; QoS; Performance data center; Little’s Law; Kingman’s equation; Flow factor; Operating curve management; Customer satisfaction; Key performance indicators.

Abstract:
As data centers become increasingly complex and deliver services of high importance, it is very important that the quality of the delivered services can be objectively evaluated and can fulfill the expectations of the customers. In this paper, we present a novel, general, and formal methodology to determine and improve the Quality of Services(QoS) delivered by a data center. We use a formal mathematical model and methodology in order to calculate the overall indicator of the service quality and discuss methods of improving the QoS. Since the considerations were conceived and results have been proved in a formal model, the considerations and results also hold in a more general case.

Pages: 61 to 71

Copyright: Copyright (c) IARIA, 2018

Publication date: October 14, 2018

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-668-2

Location: Nice, France

Dates: from October 14, 2018 to October 18, 2018