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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.
- Develops theoretical models for energy-harvesting real-time systems, including theorems and schedulability analysis
- Contains scheduling algorithms that are rigorously derived from the theory, based on both real-time and energy constraints
- Covers future, potential applications centered on the use of self-powered sensor technologies
- Provides the methodology for developing autonomous real-time systems based on energy harvesting
All practitioners (engineers) who 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
Part 1: Real Time Systems
1. Introduction to real-time computing
2. Fundamentals of real-time scheduling
3. Optimizing the Quality of Service
Part 2: Energy Recovery and Real-time
4. Recovery of green energy
5. Energy management and time constraints
6. Fundamental theoretical results
Part 3: Ensuring the Autonomy of Real-time Systems
7. Managing the case of an energy famine
8. Towards more stability and robustness
- No. of pages:
- © ISTE Press - Elsevier 2017
- 22nd November 2016
- ISTE Press - Elsevier
- Hardcover ISBN:
- eBook ISBN:
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 Cybernétique 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.
Full Professor, University of Nantes, IUT of Nantes, France
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
Professor, University of Nantes, IUT of Nantes, France