Performance and scalability of model transformations are becoming
prominent topics in Model-Driven Engineering. In previous works 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 the initial results of our analyses on the scalability of
out-place model-to-model transformation executions in LinTra when the models
and the processing elements are distributed over a set of machines.