An automated semantic-based approach for creating tasks from matlab simulink models

Abstract

The approach proposed in this paper forms the front-end of a framework for the complete design flow from specification models of new automotive functions captured in Matlab Simulink to their distributed execution on hierarchical bus-based electronic architectures hosting the release of already deployed automotive functions. The process starts by deriving a task structure from a given Matlab Simulink model. Because the obtained network is typically unbalanced in the sense of computational node weights, nodes are melted following an optimization metric called cohesion where nodes are attracted by high communication density and repelled by high node weights. This reduces task-switching times by avoiding too lightweight tasks and relieves the bus by keeping inter-task communication low. This so-called Task Creation encloses the translation of the synchronous block diagram model of Simulink into a message-based task network formalism that serves as semantic base. © 2011 Springer-Verlag.