Energy Autonomy of Real-Time Systems

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

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 Cyberneïtique 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.