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A Linda-based platform for the parallel execution of out-place model transformations.

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Title: A Linda-based platform for the parallel execution of out-place model transformations.
Authors: Burgueño, Loli1 loli@lcc.uma.es, Wimmer, Manuel2, Vallecillo, Antonio1
Source: Information & Software Technology. Nov2016, Vol. 79, p17-35. 19p.
Subjects: LINDA (Computer system), Scalability, Multicore processors, Parallel computers, Compilers (Computer programs)
Abstract: 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 Java-based 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. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract: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 Java-based 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. [ABSTRACT FROM AUTHOR]
ISSN:09505849
DOI:10.1016/j.infsof.2016.06.001