Performance Analysis of Persistence Technologies for Cloud Repositories of Models





Publicado en

Actas de las XXI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2016)

Licencia Creative Commons


The growing adoption of Model Driven Development (MDD) in companies during last decade arises some model interchange problems. Companies need support to interchange models and reuse parts of them for developing new projects. Traditional tools for model edition and model interchange have different performance issues related to the models storage. There are mainly two styles to organize the persistence of models into repositories: a complex and large model or a large amount of small models. This last approach is common in companies that generate software from models. In this paper, we analyse performance properties of different persistence technologies to store small/medium-scale models, the analysis results should be considered in the design of model repositories in the cloud. With this aim, we have designed and developed a generic architecture to evaluate each persistence technology under similar situations.


Acerca de Salazar-Álvarez, Juan-Pablo

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