From simulink to SCADE/lustre to TTA: a layered approach for distributed embedded applications
Proceedings of the 2003 ACM SIGPLAN conference on Language, compiler, and tool for embedded systems
TDMA Time Slot and Turn Optimization with Evolutionary Search Techniques
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
A GA-based scheduling method for FlexRay systems
Proceedings of the 5th ACM international conference on Embedded software
Performance analysis of FlexRay-based ECU networks
Proceedings of the 44th annual Design Automation Conference
Computing robustness of FlexRay schedules to uncertainties in design parameters
Proceedings of the Conference on Design, Automation and Test in Europe
Scheduling Optimization Techniques for FlexRay Using Constraint-Programming
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Concurrent architecture and schedule optimization of time-triggered automotive systems
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Designing FlexRay-based automotive architectures: a holistic OEM approach
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Static scheduling of a time-triggered network-on-chip based on SMT solving
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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FlexRay is a new communication protocol for automotive systems, providing support for transmission of periodic messages in static segments and priority-based scheduling of event-triggered messages in dynamic segments. The design of a FlexRay schedule is not an easy task because of protocol constraints and demands for extensibility and flexibility. We study the problem of FlexRay bus scheduling from the perspective of the application designer, interested in optimizing the performance of application related timing metrics or extensibility. We provide solutions for different task scheduling policies on existing industry standards based on a mixed integer linear programming (MILP) framework.