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EVALUATING THE EFFECTIVENESS OF DATABASE NORMALIZATION CONSTRAINTS IN MEDIA STREAM PROCESSING APPLICATIONS

L. A. Muravyeva-Vitkovskaya

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.1/s07.034View metrics

Abstract

The paper deals with the inefficiency of data normalization in media stream processing applications. In the classical approaches, while building a relational database architecture, developers strive to maximize the normalization of the database and bring the business logic of the system to external applications. Normalization and business logic separation have reached their apogee in object-relational mapping systems. Telecommunication systems have their own specifics. Due to the requirements for the quality of service, it is precisely to ensure the speed of requests for the moment of switching of media flows. Using simulation and computational models, a study was conducted of the effect of normalization provided by common means on the stability of an application. System performance is evaluated at normal and maximum load levels. Conclusions about the main ways to improve the quality of service in telecommunication systems while maintaining the organization of data storage in the form of a relational database management system. Recommendations on the transformation of the base structure in the direction of the data model subject schema are proposed.

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Publication details

Title
EVALUATING THE EFFECTIVENESS OF DATABASE NORMALIZATION CONSTRAINTS IN MEDIA STREAM PROCESSING APPLICATIONS
Authors
L. A. Muravyeva-Vitkovskaya
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
257-262
SWS Citekey
Muravyeva-Vitkovskaya20197257262
ISSN
1314-2704
ISBN
978-619-7408-79-9
Language
en
Publication type
Conference Paper
Keywords
relational databasesystem analysisnormalizationmedia flow commutationcomputer modeling
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