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A repository for scalable model management

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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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Authors and Affiliations

  1. Universidad de Murcia, Murcia, Spain

    Javier Espinazo Pagán & Jesús García Molina

  2. Universidad Autónoma de Madrid, Madrid, Spain

    Jesús Sánchez Cuadrado

Authors
  1. Javier Espinazo Pagán
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  2. Jesús Sánchez Cuadrado
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  3. Jesús García Molina
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Corresponding author

Correspondence to Javier Espinazo Pagán.

Additional information

Communicated by Prof. Tony Clark and Prof. Jon Whittle.

This work is funded by the Spanish Ministry of Science (project TIN2009-11555) and Fundación Séneca (grant 14954/BPS/10).

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Pagán, J.E., Cuadrado, J.S. & Molina, J.G. A repository for scalable model management. Softw Syst Model 14, 219–239 (2015). https://doi.org/10.1007/s10270-013-0326-8

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

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