Energy Autonomy of Real-Time Systems
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Energy Autonomy of Real-Time Systems

1st Edition - November 21, 2016

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  • Authors: Maryline Chetto, Audrey Queudet
  • Hardcover ISBN: 9781785481253
  • eBook ISBN: 9780081011577

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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.

Key Features

  • 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

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

Table of Contents

  • Part 1: Real Time Systems
    1. Introduction to real-time computing
    2. Fundamentals of real-time scheduling
    3. Optimizing the Quality of Service

    Part 2: Energy Recovery and Real-time
    4. Recovery of green energy
    5. Energy management and time constraints
    6. Fundamental theoretical results

    Part 3: Ensuring the Autonomy of Real-time Systems
    7. Managing the case of an energy famine
    8. Towards more stability and robustness

Product details

  • No. of pages: 142
  • Language: English
  • Copyright: © ISTE Press - Elsevier 2016
  • Published: November 21, 2016
  • Imprint: ISTE Press - Elsevier
  • Hardcover ISBN: 9781785481253
  • eBook ISBN: 9780081011577

About the Authors

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.

Affiliations and Expertise

Full Professor, University of Nantes, IUT of Nantes, France

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

Affiliations and Expertise

Professor, University of Nantes, IUT of Nantes, France

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