Towards Distributed Model Transformations with LinTra
Performance and scalability of model transformations are becoming prominent topics in Model-Driven Engineering. In previous work, we introduced LinTra, a platform for executing model transformations in parallel. LinTra is based on the Linda model of a coordination language and is intended to be used as a middleware where high-level model transformation languages are compiled. In this paper we present an approach to achieve scalable out-place model-to-model transformation executions in LinTra by distributing the models involved in the transformation over a set of machines.