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Linux Kernel Programming

Linux Kernel Programming

By : Kaiwan N. Billimoria
4.6 (32)
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Linux Kernel Programming

Linux Kernel Programming

4.6 (32)
By: Kaiwan N. Billimoria

Overview of this book

Linux Kernel Programming is a comprehensive introduction for those new to Linux kernel and module development. This easy-to-follow guide will have you up and running with writing kernel code in next-to-no time. This book uses the latest 5.4 Long-Term Support (LTS) Linux kernel, which will be maintained from November 2019 through to December 2025. By working with the 5.4 LTS kernel throughout the book, you can be confident that your knowledge will continue to be valid for years to come. You’ll start the journey by learning how to build the kernel from the source. Next, you’ll write your first kernel module using the powerful Loadable Kernel Module (LKM) framework. The following chapters will cover key kernel internals topics including Linux kernel architecture, memory management, and CPU scheduling. During the course of this book, you’ll delve into the fairly complex topic of concurrency within the kernel, understand the issues it can cause, and learn how they can be addressed with various locking technologies (mutexes, spinlocks, atomic, and refcount operators). You’ll also benefit from more advanced material on cache effects, a primer on lock-free techniques within the kernel, deadlock avoidance (with lockdep), and kernel lock debugging techniques. By the end of this kernel book, you’ll have a detailed understanding of the fundamentals of writing Linux kernel module code for real-world projects and products.
Table of Contents (19 chapters)
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1
Section 1: The Basics
6
Writing Your First Kernel Module - LKMs Part 2
7
Section 2: Understanding and Working with the Kernel
10
Kernel Memory Allocation for Module Authors - Part 1
11
Kernel Memory Allocation for Module Authors - Part 2
14
Section 3: Delving Deeper
17
About Packt

Within the kernel – on a kernel thread

As you know by now, the kernel is most certainly not a process nor a thread. Having said that, the kernel does contain kernel threads; like their user space counterparts, kernel threads can be created as required (from within the core kernel, a device driver, a kernel module). They are schedulable entities (KSEs!) and, of course, each of them has a task structure; thus, their scheduling policy and priority can be queried or set as required..

So, to the point at hand: to set the scheduling policy and/or priority of a kernel thread, the kernel typically makes use of the kernel/sched/core.c:sched_setscheduler_nocheck() (GFP exported) kernel API; here, we show its signature and an example of its typical usage; the comments that follow make it quite self-explanatory:

// kernel/sched/core.c
/**
* sched_setscheduler_nocheck - change the scheduling policy and/or RT priority of a thread from kernelspace.
* @p: the task...

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