An Optimization Approach for the Synthesis of AUTOSAR Architectures

Ernest Wozniak (1) , Asma Mehiaoui (1) , Chokri Mraidha (1) , Sara Tucci-Piergiovanni (1) , Sébastien Gerard (1)

1 DILS - Département Ingénierie Logiciels et Systèmes

Synthesis of automotive architectures is a complex problem that needs an automated support. AUTOSAR, standard for the specification of automotive architectures, defines a synthesis process of software components and their connections in a set of fixed-priority OS tasks distributed over a network of ECUs. During the synthesis process software components are allocated on ECUs. Since each component encapsulates a set of so-called runnable entities, synthesis completes by partitioning runnable entities in OS tasks with assigned fixed priorities. This paper proposes an optimization approach for the synthesis of AUTOSAR architectures based on genetic algorithms and mixed integer linear programming techniques. Optimization criteria consider end-to-end timing responses and memory consumption.

Domains: Computer Science [cs]

Ernest Wozniak, Asma Mehiaoui, Chokri Mraidha, Sara Tucci-Piergiovanni, Sébastien Gerard. An Optimization Approach for the Synthesis of AUTOSAR Architectures. Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on, Sep 2013, Cagliari, Italy. ⟨cea-01810019⟩