Techniques and Methodologies for Measuring and Increasing the Quality of Services: a Case Study Based on Data Centers

Publikation: Beitrag in FachzeitschriftForschungsartikelEingeladenBegutachtung

Beitragende

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. We discuss the pros and cons of the Continuous Change Strategy and analyze the Customer Dissatisfaction (CD) concepts. We show that CD is not the opposite of Customer Satisfaction (CS), but it can be used in a meaningful way to estimate CS. We introduce the queueing model and use the operation curve and the flow factor to improve the performance of data centers.

Details

OriginalspracheEnglisch
Seiten (von - bis)19-35
Seitenumfang17
FachzeitschriftInternational Journal on Advances in Intelligent Systems
Jahrgang13
Ausgabenummer1&2
PublikationsstatusVeröffentlicht - 30 Juni 2020
Peer-Review-StatusJa

Externe IDs

ORCID /0000-0002-1686-8440/work/193177255
ORCID /0009-0009-9342-629X/work/193863858

Schlagworte

Forschungsprofillinien der TU Dresden

DFG-Fachsystematik nach Fachkollegium

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Schlagwörter

  • Quality of Services, QoS, Performance data center, Little's Law, Kingman's equation, Flow factor, Operating curve management, Customer satisfaction, Continuous change strategy, Continuous delivery