article

A repository for scalable model management

Authors:

Javier Espinazo Pagán,

Jesús Sánchez Cuadrado,

Jesús García MolinaAuthors Info & Claims

Software and Systems Modeling (SoSyM), Volume 14, Issue 1

Pages 219 - 239

https://doi.org/10.1007/s10270-013-0326-8

Published: 01 February 2015 Publication History

Abstract

Applying model-driven engineering (MDE) in industrial-scale systems requires managing complex models which may be very large. These models must be persisted in a way that allows their manipulation by client applications without fully loading them. In this paper, we propose Morsa, a model repository that provides scalable manipulation of large models through load on demand and incremental store; model persistence is supported by a NoSQL database. We discuss some load on demand and incremental store algorithms as well as a database design. A prototype that integrates transparently with EMF is presented, and its evaluation demonstrates that it is capable of fully managing large models with a limited amount of memory. Moreover, a set of benchmarks has been executed, exhibiting better performance than the EMF XMI file-based persistence and the most widely used model repository, CDO.

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cover image Software and Systems Modeling (SoSyM)

Software and Systems Modeling (SoSyM) Volume 14, Issue 1

February 2015

508 pages

ISSN:1619-1366

Issue’s Table of Contents

Copyright © Copyright © 2015 Springer-Verlag Berlin Heidelberg.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 February 2015

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Cited By

Bruneliere Hde Kerchove FDaniel GMadani SKolovos DCabot J(2020)Scalable model views over heterogeneous modeling technologies and resourcesSoftware and Systems Modeling (SoSyM)10.1007/s10270-020-00794-619:4(827-851)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1007/s10270-020-00794-6
Gómez AMendialdua XBarmpis KBergmann GCabot Jde Carlos XDebreceni CGarmendia AKolovos Dde Lara J(2020)Scalable modeling technologies in the wild: an experience report on wind turbines control applications developmentSoftware and Systems Modeling (SoSyM)10.1007/s10270-020-00776-819:5(1229-1261)Online publication date: 1-Sep-2020
https://dl.acm.org/doi/10.1007/s10270-020-00776-8
Camargo LFabro MHung CPapadopoulos G(2019)Applying a data-centric framework for developing model transformationsProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297596(1570-1573)Online publication date: 8-Apr-2019
https://dl.acm.org/doi/10.1145/3297280.3297596
Garcia-Dominguez ABarmpis KKolovos DWei RPaige R(2019)Stress-testing remote model querying APIs for relational and graph-based storesSoftware and Systems Modeling (SoSyM)10.1007/s10270-017-0606-918:2(1047-1075)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s10270-017-0606-9
Boronat AWąsowski APaige RHaugen Ø(2018)Expressive and Efficient Model Transformation with an Internal DSL of XtendProceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems10.1145/3239372.3239386(78-88)Online publication date: 14-Oct-2018
https://dl.acm.org/doi/10.1145/3239372.3239386
Rodriguez-Echeverria RIzquierdo JWimmer MCabot JWąsowski APaige RHaugen Ø(2018)Towards a Language Server Protocol Infrastructure for Graphical ModelingProceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems10.1145/3239372.3239383(370-380)Online publication date: 14-Oct-2018
https://dl.acm.org/doi/10.1145/3239372.3239383
Daniel GJouault FSunyé GCabot JRosu GDi Penta MNguyen T(2017)Gremlin-ATL: a scalable model transformation frameworkProceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering10.5555/3155562.3155622(462-472)Online publication date: 30-Oct-2017
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Daniel GSuny GBenelallam ATisi MVernageau YGmez ACabot J(2017)NeoEMFScience of Computer Programming10.1016/j.scico.2017.08.002149:C(9-14)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1016/j.scico.2017.08.002
Carlos XSagardui GTrujillo S(2016)Two-Step Transformation of Model Traversal EOL Queries for Large CDO RepositoriesProceedings of the 19th International Conference on Fundamental Approaches to Software Engineering - Volume 963310.1007/978-3-662-49665-7_9(141-157)Online publication date: 2-Apr-2016
https://dl.acm.org/doi/10.1007/978-3-662-49665-7_9

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