Energy Autonomy of Real-Time Systems

Erscheinungsjahr 2016
ISBN: 978-1-78548-125-3
Verlag: ISTE PR ELSEVIER

Buch, Englisch, 142 Seiten, Format (B × H): 155 mm x 234 mm, Gewicht: 408 g

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.

Zielgruppe

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.

Autoren/Hrsg.

Chetto, Maryline

Queudet, Audrey

Fachgebiete

• Mathematik | Informatik EDV | Informatik Betriebssysteme Echtzeitbetriebssysteme
• Mathematik | Informatik EDV | Informatik Technische Informatik Eingebettete Systeme

Inhaltsverzeichnis

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

Über Autor(innen)

Chetto, Maryline
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.

Queudet, Audrey
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