2026-05-30T01:57:42Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/143982026-02-03T12:30:29Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Burgueño-Caballero, Lola
author
Wimmer, Manuel
author
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
by-nc-nd
Modelización
A Linda-based Platform for the Parallel Execution of Out-place Model Transformations
conference output
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URL
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File
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1943a4958cc3a6eb7cae7dbefec556eb
61547
application/pdf
jisbd-2017.pdf