Performance Verification of IDL Architecture for Partitioned Database
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F24%3A39922408" target="_blank" >RIV/00216275:25530/24:39922408 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/FRUCT64283.2024.10749911" target="_blank" >http://dx.doi.org/10.23919/FRUCT64283.2024.10749911</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/FRUCT64283.2024.10749911" target="_blank" >10.23919/FRUCT64283.2024.10749911</a>
Alternative languages
Result language
angličtina
Original language name
Performance Verification of IDL Architecture for Partitioned Database
Original language description
With the increasing popularity of ORM frameworks and the need to efficiently manage large volumes of data, optimization of these approaches is becoming an increasingly common subject of research. This paper focuses on analyzing the impact of partitioning of database tables on the performance of the Intelligent Data Layer (IDL), which was introduced in our previous study "Design of Data Access Architecture Using an ORM Framework". IDL enables the implementation of ORM frameworks with loaded data prediction, which overall improves and accelerates access to database data. This work extends previous experiments by optimizing IDL through database table partitioning and thoroughly analyzes the impact of this technique on system behavior and performance. We experimentally verify the applicability of this optimization technique in a practical environment and quantify the achieved performance improvements of IDL. The results show that properly designed partitioning can significantly contribute to the overall system efficiency while maintaining its flexibility and scalability.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Proceedings of the 36th Conference of Open Innovations Association FRUCT
ISBN
978-952-65-2462-7
ISSN
2305-7254
e-ISSN
2343-0737
Number of pages
6
Pages from-to
469-474
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Helsinky
Event date
Oct 30, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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