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Mapping QoE through QoS in an Approach to DDB Architectures: Research Analysis and Conceptualization

Published: 03 November 2015 Publication History

Abstract

In the context of distributed databases (DDBs), the absence of mathematically well defined equations to evaluate quality of service (QoS), especially with statistical models, seems to have taken database community attention from the possible performance guarantees that could be handled by concepts related to quality of experience (QoE). In this article, we targeted the definition of QoE based on completeness of QoS to deal with decisions concerning with performance correction in a system level. This study also presents a statistical bibliometric analysis before the proposed model. The idea was to show the origin of first studies with correlated focus, which also have initial conceptualizations, and then propose a new model. This model concerns concise QoS definitions, grouped to provide a basis for QoE analysis. Afterward, it is foreseen that a DDB system will be able to autoevaluate and be aware of recovering situations before they happen.

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cover image ACM Computing Surveys
ACM Computing Surveys  Volume 48, Issue 2
November 2015
615 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/2830539
  • Editor:
  • Sartaj Sahni
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Publication History

Published: 03 November 2015
Accepted: 01 September 2015
Revised: 01 June 2015
Received: 01 November 2014
Published in CSUR Volume 48, Issue 2

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Author Tags

  1. Big data
  2. cloud services
  3. distributed database architectures
  4. quality of experience
  5. quality of service
  6. user’s perspective

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