Self-organization in Embedded Real-time Systems

Higuera-toledano, M. Teresa (Editor)/ Brinkschulte, Uwe (Editor)/ Rettberg, Achim (Editor)

ISBN 10: 1489990690 / ISBN 13: 9781489990693

Editore: Springer Verlag, 2014

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220 pages. 9.30x6.20x0.52 inches. In Stock.

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Dati bibliografici

• Titolo: Self-organization in Embedded Real-time Systems
• Editore: Springer Verlag
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 1489990690
• ISBN 13: 9781489990693
• Rilegatura: Paperback
• Condizione: Brand New

Descrizione articolo

Riassunto

This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems. Self

‐organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self‐organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self‐X features such as self-configuration, self‐optimization, self‐adaptation, self‐healing and self‐protection.

Dalla quarta di copertina

This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems. Self-organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self-organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self-X features such as self-configuration, self-optimization, self-adaptation, self-healing and self-protection.

• Presents open components for embedded real-time adaptive and self-organizing applications;
• Describes innovative techniques in: scheduling, memory management, quality of service, communications supporting organic real-time applications;
• Covers multi-/many-core embedded systems supporting real-time adaptive systems and power-aware, adaptive hardware and software systems;
• Includes case studies of open embedded real-time self-organizing system developments supporting real-time applications.