This book introduces the state-of-the-art in research in parallel and
distributed embedded systems, which have been enabled by developments in
silicon technology, micro-electro-mechanical systems (MEMS), wireless
communications, computer networking, and digital electronics. These
systems have diverse applications in domains including military and
defense, medical, automotive, and unmanned autonomous vehicles.
The emphasis of the book is on the modeling and optimization of emerging
parallel and distributed embedded systems in relation to the three key
design metrics of performance, power and dependability.
Key features:
- Includes an embedded wireless sensor networks case study to help
illustrate the modeling and optimization of distributed embedded
systems.
- Provides an analysis of multi-core/many-core based embedded systems to
explain the modeling and optimization of parallel embedded systems.
- Features an application metrics estimation model; Markov modeling for
fault tolerance and analysis; and queueing theoretic modeling for
performance evaluation.
- Discusses optimization approaches for distributed wireless sensor
networks; high-performance and energy-efficient techniques at the
architecture, middleware and software levels for parallel
multicore-based embedded systems; and dynamic optimization
methodologies.
- Highlights research challenges and future research directions.
The book is primarily aimed at researchers in embedded systems; however,
it will also serve as an invaluable reference to senior undergraduate
and graduate students with an interest in embedded systems research.
