Thumbnail
Access Restriction
Subscribed

Author Souza, Ramon Hugo De ♦ Dantas, Mrio Antnio Ribeiro
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Big data ♦ Cloud services ♦ Distributed database architectures ♦ Quality of experience ♦ Quality of service ♦ User’s perspective
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.
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-11-03
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 48
Issue Number 2
Page Count 41
Starting Page 1
Ending Page 41


Open content in new tab

   Open content in new tab
Source: ACM Digital Library