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Mastering Embedded Linux Programming

You're reading from   Mastering Embedded Linux Programming Create fast and reliable embedded solutions with Linux 5.4 and the Yocto Project 3.1 (Dunfell)

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781789530384
Length 758 pages
Edition 3rd Edition
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Authors (2):
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Frank Vasquez Frank Vasquez
Author Profile Icon Frank Vasquez
Frank Vasquez
Mr. Chris Simmonds Mr. Chris Simmonds
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Mr. Chris Simmonds
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Table of Contents (27) Chapters Close

Preface 1. Section 1: Elements of Embedded Linux
2. Chapter 1: Starting Out FREE CHAPTER 3. Chapter 2: Learning about Toolchains 4. Chapter 3: All about Bootloaders 5. Chapter 4: Configuring and Building the Kernel 6. Chapter 5: Building a Root Filesystem 7. Chapter 6: Selecting a Build System 8. Chapter 7: Developing with Yocto 9. Chapter 8: Yocto Under the Hood 10. Section 2: System Architecture and Design Decisions
11. Chapter 9: Creating a Storage Strategy 12. Chapter 10: Updating Software in the Field 13. Chapter 11: Interfacing with Device Drivers 14. Chapter 12: Prototyping with Breakout Boards 15. Chapter 13: Starting Up – The init Program 16. Chapter 14: Starting with BusyBox runit 17. Chapter 15: Managing Power 18. Section 3: Writing Embedded Applications
19. Chapter 16: Packaging Python 20. Chapter 17: Learning about Processes and Threads 21. Chapter 18: Managing Memory 22. Section 4: Debugging and Optimizing Performance
23. Chapter 19: Debugging with GDB 24. Chapter 20: Profiling and Tracing 25. Chapter 21: Real-Time Programming 26. Other Books You May Enjoy

Summary

The term real-time is meaningless unless you qualify it with a deadline and an acceptable miss rate. When you have these two pieces of information, you can determine whether or not Linux is a suitable candidate for the operating system and, if so, begin to tune your system to meet the requirements. Tuning Linux and your application to handle real-time events means making it more deterministic so that the real-time threads can meet their deadlines reliably. Determinism usually comes at the price of total throughput, so a real-time system is not going to be able to process as much data as a non-real-time system.

It is not possible to provide mathematical proof that a complex operating system such as Linux will always meet a given deadline, so the only approach is through extensive testing using tools such as cyclictest and Ftrace and, more importantly, using your own benchmarks for your own application.

To improve determinism, you need to consider both the application and...

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