Parallel Execution of Model Management Programs ∗

Scalability in Model-Driven Engineering (MDE) remains an open challenge and an active research topic. This paper presents an overview of ongoing work, which aims to significantly improve the performance of model management tasks (e.g., transformation and validation) through parallelisation and distribution. We believe our solution will be highly scalable due to hardware trends; namely, higher core counts, diminishing single-threaded performance improvements and increasing prevalence of cloud computing. We intend to implement our solutions in the Epsilon suite of model management tools and evaluate both the performance gains and correctness of our concurrent implementation(s) using a range of models and test scripts. Initial experiments with parallelisation of the Epsilon Validation Language show promising results both in terms of correctness and performance.