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