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Linux Kernel Programming

You're reading from   Linux Kernel Programming A comprehensive guide to kernel internals, writing kernel modules, and kernel synchronization

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781789953435
Length 754 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 (19) Chapters Close

Preface 1. Section 1: The Basics
2. Kernel Workspace Setup FREE CHAPTER 3. Building the 5.x Linux Kernel from Source - Part 1 4. Building the 5.x Linux Kernel from Source - Part 2 5. Writing Your First Kernel Module - LKMs Part 1 6. Writing Your First Kernel Module - LKMs Part 2 7. Section 2: Understanding and Working with the Kernel
8. Kernel Internals Essentials - Processes and Threads 9. Memory Management Internals - Essentials 10. Kernel Memory Allocation for Module Authors - Part 1 11. Kernel Memory Allocation for Module Authors - Part 2 12. The CPU Scheduler - Part 1 13. The CPU Scheduler - Part 2 14. Section 3: Delving Deeper
15. Kernel Synchronization - Part 1 16. Kernel Synchronization - Part 2 17. About Packt 18. Other Books You May Enjoy

What is the KSE on Linux?

As you learned in Chapter 6, Kernel Internals Essentials – Processes and Threads, in the Organizing processes, threads, and their stacks – user and kernel space section, every process – in fact, every thread alive on the system – is bestowed with a task structure (struct task_struct) and both a user-mode as well as a kernel-mode stack.

Here, the key question to ask is: when scheduling is performed, what object does it act upon, in other words, what is the Kernel Schedulable Entity, the KSE? On Linux, the KSE is a thread, not a process (of course, every process contains a minimum of one thread). Thus, the thread is the granularity level at which scheduling is performed.

An example will help explain this: if we have a hypothetical situation where we have one CPU core and 10 user space processes, consisting of three threads each, plus five kernel threads, then we have a total of (10 x 3) + 5, which equals 35 threads. Each of them...

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