2026-05-31T06:23:39Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/143982026-02-03T12:30:29Zcom_10630_2254col_10630_37959

Burgueño-Caballero, Lola Wimmer, Manuel Vallecillo-Moreno, Antonio Jesús 2017-07-27T11:07:51Z 2017-07-27T11:07:51Z 2017 http://hdl.handle.net/10630/14398 http://orcid.org/0000-0002-7779-8810 Context: The performance and scalability of model transformations is gaining interest as industry is progressively adopting model-driven techniques and multicore computers are becoming commonplace. However, existing model transformation engines are mostly based on sequential and in-memory execution strategies, and thus their capabilities to transform large models in parallel and distributed environments are limited. Objective: This paper presents a solution that provides concurrency and distribution to model transformations. Method: Inspired by the concepts and principles of the Linda coordination language, and the use of data parallelism to achieve parallelization, a novel Javabased execution platform is introduced. It offers a set of core features for the parallel execution of out-place transformations that can be used as a target for high-level transformation language compilers. Results: Significant gains in performance and scalability of this platform are reported with regard to existing model transformation solutions. These results are demonstrated by running a model transformation test suite, and by its comparison against several state-of-the-art model transformation engines. Conclusion: Our Linda-based approach to the concurrent execution of model transformations can serve as a platform for their scalable and efficient implementation in parallel and distributed environments. eng open access by-nc-nd Modelización A Linda-based Platform for the Parallel Execution of Out-place Model Transformations conference output