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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

979-8-3503-8766-7

ISSN

—

e-ISSN

—

Počet stran výsledku

502

Strana od-do

497

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Poprad

Datum konání akce

13. 11. 2024

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

001483035700081