Verification of IDL Arcitecture Performance for Larger Datasets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F24%3A39922407" target="_blank" >RIV/00216275:25530/24:39922407 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/FRUCT64283.2024.10749855" target="_blank" >http://dx.doi.org/10.23919/FRUCT64283.2024.10749855</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/FRUCT64283.2024.10749855" target="_blank" >10.23919/FRUCT64283.2024.10749855</a>
Alternative languages
Result language
angličtina
Original language name
Verification of IDL Arcitecture Performance for Larger Datasets
Original language description
Due to the ever increasing popularity of Object Relational Mapping (ORM) frameworks, the Intelligent Data Layer (IDL) architecture was compiled by the authors as part of an earlier publication, Design of Data Access Architecture Using ORM Framework. This architecture allows to implement ORM frameworks with prediction of the required data. Given the size of datasets that can be managed in database systems, it was necessary to verify that this architecture is robust enough to handle similar problems. In the context of this paper, we focus on examining the performance of our defined architecture with larger datasets, which should help us determine whether such an architecture is suitable for common use. Along with the performance verification for larger datasets, performance tests were performed in case the database does not contain indexes for foreign keys.
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
"475 "- 480
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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