Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Analyzing Infeasible Mixed-Integer and Integer Linear Programs
INFORMS Journal on Computing
AMUSE: a minimally-unsatisfiable subformula extractor
Proceedings of the 41st annual Design Automation Conference
Design Space Exploration and System Optimization with SymTA/S " Symbolic Timing Analysis for Systems
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
Period optimization for hard real-time distributed automotive systems
Proceedings of the 44th annual Design Automation Conference
Cyclic dependencies in modular performance analysis
EMSOFT '08 Proceedings of the 8th ACM international conference on Embedded software
Improving platform-based system synthesis by satisfiability modulo theories solving
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Symbolic system synthesis in the presence of stringent real-time constraints
Proceedings of the 48th Design Automation Conference
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This paper presents a methodology based on mathematical programming for the priority assignment of processes and messages in event-triggered systems with tight end-to-end real-time deadlines. For this purpose, the problem is converted into a Quadratically Constrained Quadratic Program (QCQP) and addressed with a state-of-the-art solver. The formulation includes preemptive as well as non-preemptive schedulers and avoids cyclic dependencies that may lead to intractable real-time analysis problems. For problems with stringent real-time requirements, the proposed mathematical programming method is capable of finding a feasible solution efficiently where other approaches suffer from a poor scalability. In case there exists no feasible solution, an algorithm is presented that uses the proposed method to find a minimal reason for the infeasibility which may be used as a feedback to the designer. To give evidence of the scalability of the proposed method and in order to show the clear benefit over existing approaches, a set of synthetic test cases is evaluated. Finally, a large realistic case study is introduced and solved, showing the applicability of the proposed method in the automotive domain.