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Linux Kernel Debugging

You're reading from   Linux Kernel Debugging Leverage proven tools and advanced techniques to effectively debug Linux kernels and kernel modules

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801075039
Length 638 pages
Edition 1st Edition
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Author (1):
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Kaiwan N. Billimoria Kaiwan N. Billimoria
Author Profile Icon Kaiwan N. Billimoria
Kaiwan N. Billimoria
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Table of Contents (17) Chapters Close

Preface 1. Part 1: A General Introduction and Approaches to Kernel Debugging
2. Chapter 1: A General Introduction to Debugging Software FREE CHAPTER 3. Chapter 2: Approaches to Kernel Debugging 4. Part 2: Kernel and Driver Debugging Tools and Techniques
5. Chapter 3: Debug via Instrumentation – printk and Friends 6. Chapter 4: Debug via Instrumentation – Kprobes 7. Chapter 5: Debugging Kernel Memory Issues – Part 1 8. Chapter 6: Debugging Kernel Memory Issues – Part 2 9. Chapter 7: Oops! Interpreting the Kernel Bug Diagnostic 10. Chapter 8: Lock Debugging 11. Part 3: Additional Kernel Debugging Tools and Techniques
12. Chapter 9: Tracing the Kernel Flow 13. Chapter 10: Kernel Panic, Lockups, and Hangs 14. Chapter 11: Using Kernel GDB (KGDB) 15. Chapter 12: A Few More Kernel Debugging Approaches 16. Other Books You May Enjoy

Chapter 9: Tracing the Kernel Flow

Tracing is the ability to collect relevant details as code executes. Typically, data collected will include function names (and perhaps parameters and return values) of function calls made along the code path being followed, the context that issued the call, when the call was made (a timestamp), the duration of the function call, and so on. Tracing allows you to study and understand the detailed flow of a system or a component within it. It's akin to the black box in an aircraft – it simply collects data, allowing you to interpret and analyze it later. (You can also consider tracing to be loosely analogous to logging.)

Profiling is different from tracing in that it typically works by taking samples (of various interesting events/counters) at periodic points in time. It won't capture everything; it (usually) captures just enough to help with runtime performance analysis. A profile of code execution, a report, can usually be generated...

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