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Distributed REal-Time Architecture for Mixed Criticality Systems (DREAMS)
Start date: Oct 1, 2013, End date: Sep 30, 2017 PROJECT  FINISHED 

The objective of DREAMS is to develop a cross-domain architecture and design tools for networked complex systems where application subsystems of different criticality, executing on networked multi-core chips, are supported.DREAMS will deliver architectural concepts, meta-models, virtualization technologies, model-driven development methods, tools, adaptation strategies and validation, verification and certification methods for the seamless integration of mixed-criticality to establish security, safety, real-time performance as well as data, energy and system integrity.DREAMS will leverage multi-core platforms for a hierarchical system perspective of mixed-criticality applications combining the chip- and cluster-level. This system perspective will be established by virtualization (e.g., secure and timely end-to-end channels with different on-chip and off-chip segments), platform models and tools and integrated resource management resulting in higher flexibility, adaptability and energy efficiency.The consortium consists of major embedded system suppliers and OEMs encompassing a broad range of application domains (avionics, wind power, healthcare), supported by leading research and academic organizations.DREAMS will significantly reduce development lifecycle and certification efforts and enable mixed-criticality product lines. The impact further includes a reduction of time-to-market, decreased development, deployment and maintenance cost, and the exploitation of the economies of scale through cross-domain components and tools.Based on strong foundation in European and national initiatives, DREAMS will establish a European reference architecture for mixed-criticality systems by consolidating and extending platform technologies and development methods. The project will actively contribute to community building and standardization to facilitate industrial harmonization and uptake of results.

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