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Optimization Model For Web Applications Databases

Author

Listed:
  • Assoc. Prof. Anca Mehedintu Ph.D

    (University of Craiova Faculty of Economics and Business Administration Craiova, Romania)

  • Lect. Ion Buligiu Ph.D

    (University of Craiova Faculty of Economics and Business Administration Craiova, Romania)

Abstract

This article presents a case study on the implementation of an optimization model to the web databases, as part of the complex process of optimizing web applications. Along with the content’s quality of course, the website page loading speed is an important determinant of a quality site performance. To get a response time as low as possible upon access, the optimization must be performed in terms of configuration, verification and optimization of databases but also of structuring, standardization and simplification of the actual code of a web page. Following the study, we demonstrated that the application of appropriate optimization techniques, from the simplest to the most complex, on the web application database can improve the application's performance. These techniques provide an overview on the wide optimization methods only in relation to websites optimization techniques applied by the source code and their actual content .

Suggested Citation

  • Assoc. Prof. Anca Mehedintu Ph.D & Lect. Ion Buligiu Ph.D, 2013. "Optimization Model For Web Applications Databases," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(21), pages 200-211, NOVEMBER.
  • Handle: RePEc:aio:rteyej:v:1:y:2013:i:21:p:200-211
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    More about this item

    Keywords

    web databases optimization; web applications; response time; optimizing tools; site performances measurement;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other

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