This
book focuses on the design and testing of large-scale, distributed signal
processing systems, with a special emphasis on systems architecture, tooling
and best practices. Architecture modeling, model checking, model-based
evaluation and model-based design optimization occupy central roles. Target
systems with resource constraints on processing, communication or energy supply
require non-trivial methodologies to model their non-functional requirements,
such as timeliness, robustness, lifetime and "evolution" capacity. Besides the
theoretical foundations of the methodology, an engineering process and
toolchain are described. Real-world cases illustrate the theory and practice
tested by the authors in the course of the European
project ARTEMIS DEMANES. The book can be used as a "cookbook" for designers and
practitioners working with complex embedded systems like sensor networks for the
structural integrity monitoring of steel bridges, and distributed micro-climate
control systems for greenhouses and smart homes.