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La popularité est une évaluation communautaire de chaque livre calculée sur une échelle de 0 à 100.

Cette évaluation repose sur une agrégation de diverses quantités qui reflètent la vie de chaque livre au sein de la communauté des lecteurs. Cette vie s'exprime en fréquence de lecture, nombre d'étagères publiques et privées dans lesquelles le livre est présent.

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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.



Energy Autonomy of Real-Time Systems

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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 involv

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Auteur(s): Chetto, Maryline • Queudet, Audrey

Editeur: Elsevier Science

Année de Publication: 2016

pages: 144

Langue: lang_en

ISBN: 978-1-78548-125-3

eISBN: 978-0-08-101157-7

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 involv

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

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