Energy Autonomy of Real-Time Systems

Author： Chetto   Maryline;Queudet   Audrey  

Publisher： Elsevier Science‎

Publication year： 2016

E-ISBN: 9780081011577

P-ISBN(Paperback): 9781785481253

Subject： F224-39 computer applications;Q811.4 biological information theory;TP2 自动化技术及设备;TP3 Computers;X Environmental Science, Safety Science

Keyword： 电工技术

Language： ENG

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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.

  • 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

Chapter

Front Cover

Energy Autonomy of Real-Time Systems

Copyright

Contents

Introduction

Chapter 1. Real-time Computing

1.1. What are real-time systems?

1.2. Classification of real-time systems

1.3. Typical examples of real-time systems

1.4. Real-time operating systems: what are their special features?

1.5. Examples of real-time operating systems for embedded systems

1.6. Conclusion

Chapter 2. Principles of Real-time Scheduling

2.1. Characterization and models of real-time tasks

2.2. Schedulability analysis

2.3. Uniprocessor scheduling

2.4. Periodic task scheduling

2.5. Aperiodic task servers

2.6. Conclusion

Chapter 3. Harnessing Ambient Energy for Embedded Systems

3.1. Why is it necessary to harvest energy from the environment?

3.2. A wide range of applications

3.3. Useful energy sources

3.4. Energy storage

3.5. Implementation of an autonomous system

3.6. Current operating principles

3.7. Conclusion

Chapter 4. Energy Self-sufficiency and Real-time Scheduling

4.1. Time and energy: a dual constraint

4.2. Description of an autonomous real-time system

4.3. Key theoretical results

4.4. Concepts

4.5. The ED-H scheduler

4.6. Another scheduling solution: LSA

4.7. Technological hurdles

4.8. Conclusion

Conclusion

Bibliography

Index

Back Cover

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