A formal approach to robustness maximization of complex heterogeneous embedded systems
CODES+ISSS '06 Proceedings of the 4th international conference on Hardware/software codesign and system synthesis
Combined approach to system level performance analysis of embedded systems
CODES+ISSS '07 Proceedings of the 5th IEEE/ACM international conference on Hardware/software codesign and system synthesis
Methods for multi-dimensional robustness optimization in complex embedded systems
EMSOFT '07 Proceedings of the 7th ACM & IEEE international conference on Embedded software
Sensitivity analysis of complex embedded real-time systems
Real-Time Systems
The space of EDF deadlines: the exact region and a convex approximation
Real-Time Systems
Robust design of embedded systems
Proceedings of the Conference on Design, Automation and Test in Europe
Learning early-stage platform dimensioning from late-stage timing verification
Proceedings of the Conference on Design, Automation and Test in Europe
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System robustness is a major concern in the design of efficient and reliable state-of-the-art heterogenous embedded real-time systems. Due to complex component interactions, resource sharing and functional dependencies, one-dimensional sensitivity analysis cannot cover all effects that modifications of one system property may have on system performance. One reason is that the variation of one property can also affect the values of other system properties requiring new approaches to keep track of simultaneous parameter changes. In this paper we present a heuristic and a stochastic approach suited for the multi-dimensional sensitivity analysis of large heterogenous embedded systems with complex timing constraints.