Energy Autonomy of Real-Time Systems - Maryline (Full Professor Chetto - Bog

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 constraintsCovers future, potential applications centered on the use of self-powered sensor technologiesProvides the methodology for developing autonomous real-time systems based on energy harvesting