Book Image

Linux Kernel Programming

By : Kaiwan N. Billimoria
Book Image

Linux Kernel Programming

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)
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

A word on CFS and the vruntime value

Since version 2.6.23, CFS has been the de facto kernel CPU scheduling code for regular threads; the majority of threads are SCHED_OTHER, which is driven by CFS. The driver behind CFS is fairness and overall throughput. In a nutshell, within its implementation, the kernel keeps track of the actual CPU runtime (at nanosecond granularity) of every runnable CFS (SCHED_OTHER) thread; the thread with the smallest runtime is the thread that most deserves to run and will be awarded the processor on the next scheduling switch. Conversely, threads that continually hammer on the processor will accumulate a large amount of runtime and will thus be penalized (it's quite karmic, really)!

Without delving into too many details regarding the internals of the CFS implementation, embedded within the task structure is another data structure, struct sched_entity, which contains within it an unsigned 64-bit value called vruntime. This is, at a simplistic level...