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Verify the Effectiveness of the Intelligent Data Layer on Different Hardware Configurations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F24%3A39922658" target="_blank" >RIV/00216275:25530/24:39922658 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10900862" target="_blank" >https://ieeexplore.ieee.org/document/10900862</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/Informatics62280.2024.10900862" target="_blank" >10.1109/Informatics62280.2024.10900862</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Verify the Effectiveness of the Intelligent Data Layer on Different Hardware Configurations

  • Original language description

    The article builds on research focused on the design and construction of an Intelligent Data Layer (IDL) using Object-Relational Mapping (ORM) frameworks, which can sometimes be inefficient. The aim of this article is to verify whether IDL functions as an optimization technique in different hardware environments. Previous research has shown that IDL can significantly improve the performance of applications, especially in loading and processing large amounts of data. However, this improvement was observed on standard test hardware. Therefore, we conducted this testing, which includes tests on different hardware configurations, specifically a server and a test workstation. The tests focus on data retrieval speed, memory usage efficiency, and overall application performance when using IDL compared to traditional approaches. The results of the tests will help determine whether IDL is a universal optimization technique or whether its effectiveness depends on specific hardware conditions. This knowledge is crucial for us for the future development and deployment of IDL in real-world applications. The experiments were conducted in an environment with an Nginx web server, PHP, and a MySQL database. The tested implementation runs on Symfony and Doctrine. For the individual experiments, a relational database model from previous work was used, which included tables with varying numbers of rows.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Informatics 2024 : 2024 IEEEE 17th International Scientific Conference on Informatics : proceedings

  • ISBN

    979-8-3503-8766-7

  • ISSN

  • e-ISSN

  • Number of pages

    502

  • Pages from-to

    497

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Poprad

  • Event date

    Nov 13, 2024

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    001483035700081