Self-Organization in Embedded Real-Time Systems [electronic resource] / edited by M. Teresa Higuera-Toledano, Uwe Brinkschulte, Achim Rettberg.

By: Higuera-Toledano, M. Teresa [editor.]Contributor(s): Brinkschulte, Uwe [editor.] | Rettberg, Achim [editor.] | SpringerLink (Online service)Material type: TextTextLanguage: English Publisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: IX, 208 p. 70 illus., 36 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781461419693Subject(s): Engineering | Computer science | Systems engineering | Engineering | Circuits and Systems | Processor ArchitecturesAdditional physical formats: Printed edition:: No titleDDC classification: 621.3815 LOC classification: TK7888.4Online resources: Click here to access online
Contents:
A Control Theory Approach to Improve Microprocessors for Real-Time Applications by Self-Adapting Thread Performance -- Providing safety-critical and real-time services for mobile devices in uncertain environment -- Self-Organizing Real-Time Services in Mobile Ad Hoc Networks -- Swarm Robotic Time Synchronization for Object Tracking -- Improving Performance of Controller Area Network (CAN) by Adaptive Message Scheduling -- Self-configurable Automotive Embedded Systems -- Composing Adaptive Distributed Embedded and Real-Time Java Systems Based on RTSJ -- The ASSL Formalism for Real-Time Autonomic Systems -- Organic Real-Time Middleware.
In: Springer eBooksSummary: 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.
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A Control Theory Approach to Improve Microprocessors for Real-Time Applications by Self-Adapting Thread Performance -- Providing safety-critical and real-time services for mobile devices in uncertain environment -- Self-Organizing Real-Time Services in Mobile Ad Hoc Networks -- Swarm Robotic Time Synchronization for Object Tracking -- Improving Performance of Controller Area Network (CAN) by Adaptive Message Scheduling -- Self-configurable Automotive Embedded Systems -- Composing Adaptive Distributed Embedded and Real-Time Java Systems Based on RTSJ -- The ASSL Formalism for Real-Time Autonomic Systems -- Organic Real-Time Middleware.

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.

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