2026-09-30T09:35:16Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/57732024-03-04T09:39:19Zcom_20.500.11984_1143col_20.500.11984_1148

Evaluating embedded relational databases for large model persistence and query Sagardui, Goiuria De Carlos Garcia, Xabier Trujillo González, Salvador Perkaz Ortiz, Alain Cañizo Zubizarreta, Mikel Iglesias Goikoetxea, Aitziber Model-Driven Development Large-Scale Models Persistence Query Runtime Translation Evaluation Large models are increasingly used in Model Driven Development. Different studies have proved that XMI (default persistence in Eclipse Modelling Framework) has some limitations when operating with large models. To overcome them, recent approaches have used databases for the persistence of models. EDBM (Embedded DataBase for Models) is an approach for persisting models in an embedded relational database, providing scalable querying mechanism by runtime translation of modellevel queries to SQL. In this paper, we present an evaluation of EDBM in terms of scalability with existing approaches. GraBaTs 2009 case study (models from 8.8MB to 646MB) is used for evaluation. EDBM is 70% faster than the compared approaches to persist XMI GraBats models into databases and executes the GraBats query faster, as well as having a low memory usage. These results indicate that an embedded relational database, combined with an scalable query mechanism provides a promising alternative for persisting and querying large models. 2022-10-28T07:49:44Z 2022-10-28T07:49:44Z 2016 http://purl.org/coar/resource_type/c_c94f 978-84-9012-627-1 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=155521 https://hdl.handle.net/20.500.11984/5773 eng Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ © 2016 Ediciones Universidad de Salamanca y de cada autor Ediciones Universidad de Salamanca