Mon 26 Oct 2015 13:30 - 14:00 at Grand Station 2 - Model and Program Transformation Chair(s): Tijs van der Storm

Efficient processing of very large models is a key requirement for the adoption of Model-Driven Engineering (MDE) in some industrial contexts. One of the central operations in MDE is rule-based model transformation (MT). It is used to specify manipulation operations over structured data coming in the form of model graphs. However, being based on computationally expensive operations like subgraph isomorphism, MT tools are facing issues on both memory occupancy and execution time while dealing with the increasing model size and complexity. One way to overcome these issues is to exploit the wide availability of distributed clusters in the Cloud for the distributed execution of MT. In this paper, we propose an approach to automatically distribute the execution of model transformations written in a popular MT language, ATL, on top of a well-known distributed programming model, MapReduce. We show how the execution semantics of ATL can be aligned with the MapReduce computation model. We describe the extensions to the ATL transformation engine to enable distribution, and we experimentally demonstrate the scalability of this solution in a reverse-engineering scenario.

Mon 26 Oct
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13:30 - 15:00: SLE - Model and Program Transformation at Grand Station 2
Chair(s): Tijs van der StormCWI
sle201513:30 - 14:00
sle201514:00 - 14:30
Romina EramoUniversity of L'Aquila, Italy, Alfonso PierantonioUniversity of L'Aquila, Italy, Gianni RosaUniversity of L'Aquila, Italy
sle201514:30 - 15:00
Nico RitschelTU Darmstadt, Germany, Sebastian ErdwegTU Darmstadt, Germany
Link to publication DOI