Rugged Embedded Systems -
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Présentation Rugged Embedded Systems de Collectif Format Broché
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Résumé : Rugged Embedded Systems: Computing in Harsh Environments describes how to design reliable embedded systems for harsh environments, including architectural approaches, cross-stack hardware/software techniques, and emerging challenges and opportunities. A harsh environment presents inherent characteristics, such as extreme temperature and radiation levels, very low power and energy budgets, strict fault tolerance and security constraints, etc. that challenge the computer system in its design and operation. To guarantee proper execution (correct, safe, and low-power) in such scenarios, this contributed work discusses multiple layers that involve firmware, operating systems, and applications, as well as power management units and communication interfaces. This book also incorporates use cases in the domains of unmanned vehicles (advanced cars and micro aerial robots) and space exploration as examples of computing designs for harsh environments.
Biographie: 1. Introduction2. Reliable and power-aware architectures: Fundamentals and modeling3. Real-time considerations for rugged embedded systems4. Emerging resilience techniques for embedded devices5. Resilience for extreme scale computing6. Security in embedded systems7. Embedded security8. Reliable electrical systems for micro aerial vehicles and insect-scale robots: Challenges and progress9. Rugged autonomous vehicles10. Harsh computing in the space domain11. Resilience in next-generation embedded systems
Sommaire:
Augusto Vega is a Research Staff Member within the Reliability and Power-Aware Microarchitecture department at IBM T. J. Watson Research Center. He has been involved in research and development work in support of IBM System p and Data Centric Systems. His primary focus area is power-aware computer architectures and associated system solutions. His research interests are in the areas of high performance, power/reliability-aware computer architectures, distributed and parallel computing, and performance analysis tools and techniques....
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