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A multi variable optimization approach for the design of integrated dependable real-time embedded systems

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Publication date2007
Host publicationEmbedded and Ubiquitous Computing: International Conference, EUC 2007, Taipei, Taiwan, December 17-20, 2007. Proceedings
Number of pages14
Volume4808 LNCS
ISBN (Print)9783540770916
<mark>Original language</mark>English


Embedded systems increasingly encompass both dependability and responsiveness requirements. While sophisticated techniques exist, on a discrete basis, for both dependability/fault-tolerance (FT) and real-time (RT), the composite considerations for FT+RT are still evolving. Obviously the different objectives needed for FT and RT make composite optimization hard. In this paper, the proposed Multi Variable Optimization (MVO) process develops integrated FT+RT considerations. We introduce dependability as an initial optimization criteria by confining error propagation probability, i.e., limiting the interactions. Subsequently, quantification of interactions together with RT optimization by minimizing scheduling length is developed. A simulated annealing approach is utilized to find optimized solutions. We provide experimental results for our approach, showing significant design improvements over contemporary analytical initial feasibility solutions. © IFIP International Federation for Information Processing 2007.