Skip to main content
header:cart.shoppingCart

Energy Autonomy of Real-Time Systems

  • 1st book:metaData.edition - November 21, 2016
  • book:metaData.latestEdition
  • common:contributors.authors Maryline Chetto, Audrey Queudet
  • publicationLanguages:language

Energy Autonomy of Real-Time Systems addresses foundations and findings in real-time scheduling and processor activity management for energy harvesting embedded systems, serving a… seeMoreDescription

Early spring sale

Nurture your knowledge

Grow your expertise with up to 25% off trusted resources.

Shop now

promoMetaData.description

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.

promoMetaData.keyFeatures

  • 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

promoMetaData.readership

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

promoMetaData.tableOfContents

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

promoMetaData.productDetails

  • productDetails.edition: 1
  • book:metaData.latestEdition
  • productDetails.published: November 24, 2016
  • publicationLanguages:languageTitle: publicationLanguages:en

promoMetaData.aboutTheAuthors

MC

Maryline Chetto

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.
promoMetaData.affiliationsAndExpertise
Full Professor, University of Nantes, IUT of Nantes, France

AQ

Audrey Queudet

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
promoMetaData.affiliationsAndExpertise
Professor, University of Nantes, IUT of Nantes, France

common:scienceDirect.bookHeader

common:scienceDirect.link