Energy Autonomy of Real-Time Systems addresses foundations and findings in real-time scheduling and processor activity management for energy harvesting embedded systems, serving as a textbook for courses on the topic in master programs, and as a reference for computer scientists and engineers involved in the design or development of autonomous cyber-physical systems which require up-to-date solutions.
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
All practitioners (engineers) which have some industrial experience with embedded devices and wish to gain knowledge of energy harvesting real-time systems. Graduate students, teachers and researchers in a wide range of disciplines impacted by real-time computing and green energy management.
Maße
Höhe: 229 mm
Breite: 152 mm
Gewicht
ISBN-13
978-1-78548-125-3 (9781785481253)
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Schweitzer Klassifikation
Maryline Chetto currently serves as Professor at the University of Nantes, France. She is a member of the IRCCyN (Institut de Recherche en Communications et Cyberne?tique de Nantes), within the 'Real-Time Systems' research team. She received her Masters in Control Engineering at Ecole Centrale de Nantes, France. Her research areas include Real-Time Computing in general, and more particularly, scheduling, energy management, operating systems and fault-tolerance. Audrey Quedet is Associate Professor at the University of Nantes, Institut Universitaire de Technologie de Nantes and Member of the IRCCyN (Institut de Recherche en Communications et Cybernetique de Nantes). She received her PhD in Automation and Applied Computer Science whilst contributing in the Real-Time Systems team, IRCCyN. Her research interests surround Real-Time Computing in general, including scheduling, synchronization mechanisms, energy management and Linux-based operating systems
Autor*in
Full Professor, University of Nantes, IUT of Nantes, France
Professor, University of Nantes, IUT of Nantes, France
Part 1: Real Time Systems1. Introduction to real-time computing2. Fundamentals of real-time scheduling3. Optimizing the Quality of Service
Part 2: Energy Recovery and Real-time4. Recovery of green energy5. Energy management and time constraints6. Fundamental theoretical results
Part 3: Ensuring the Autonomy of Real-time Systems7. Managing the case of an energy famine8. Towards more stability and robustness
