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

Research output: Contribution to journalResearch articleInvitedpeer-review

Contributors

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

Original languageEnglish
Pages (from-to)19-35
Number of pages17
JournalInternational Journal on Advances in Intelligent Systems
Volume13
Issue number1&2
Publication statusPublished - 30 Jun 2020
Peer-reviewedYes

External IDs

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

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Keywords

  • 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