CONTREX - Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties

CONTREX - Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties (Booth: EP 1)

Contact: Kim Grüttner


CONTREX - Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties
26121 Escherweg 2
Oldenburg
Germany

Tel: +49 441 97 22 228
Fax:

CONTREX

E-Mail: kim.gruettner@offis.de
Website: http://contrex.offis.de/

Up to now, mission- and safety critical services of Systems of Systems have been running on dedicated and either custom designed HW/SW platforms or “legacy” COTS. In the near future, such systems will be accessible, connected with or executed on devices comprising state-of-the-art off-the-shelf MPSoCs. Significant improvements have been achieved supporting the design of mixed-critical systems by developing predictable computing platforms and mechanisms for segregation between applications of different criticalities sharing computing resources. Such platforms enable techniques for the compositional certification of applications’ correctness, run-time properties and reliability.
The CONTREX project complements these important activities with an analysis and segregation along the extra-functional properties real-time, power, temperature and reliability. These properties will be major cost roadblocks when 1) scaling up the number of applications per platform and the number of cores per chip, 2) in battery-powered devices or 3) switching to smaller technology nodes.
CONTREX enables energy efficient and cost aware design through analysis and optimization of real-time, power, temperature and reliability with regard to application demands at different criticality levels.
The project focuses on extra-functional requirements derived from the automotive telematics, aeronautics and telecommunications domain.
Our economic goal is to improve energy efficiency by 20 % and to reduce cost per system by 30 % due to a more efficient use of the computing platform.