Book Image

Linux Kernel Programming - Second Edition

By : Kaiwan N. Billimoria
Book Image

Linux Kernel Programming - Second Edition

By: Kaiwan N. Billimoria

Overview of this book

The 2nd Edition of Linux Kernel Programming is an updated, comprehensive guide for new programmers to the Linux kernel. This book uses the recent 6.1 Long-Term Support (LTS) Linux kernel series, which will be maintained until Dec 2026, and also delves into its many new features. Further, the Civil Infrastructure Project has pledged to maintain and support this 6.1 Super LTS (SLTS) kernel right until August 2033, keeping this book valid for years to come! You’ll begin this exciting journey by learning how to build the kernel from source. In a step by step manner, you will then learn how to write your first kernel module by leveraging the kernel’s powerful Loadable Kernel Module (LKM) framework. With this foundation, you will delve into key kernel internals topics including Linux kernel architecture, memory management, and CPU (task) scheduling. You’ll finish with understanding the deep issues of concurrency, and gain insight into how they can be addressed with various synchronization/locking technologies (e.g., mutexes, spinlocks, atomic/refcount operators, rw-spinlocks and even lock-free technologies such as per-CPU and RCU). By the end of this book, you’ll have a much better understanding of the fundamentals of writing the Linux kernel and kernel module code that can straight away be used in real-world projects and products.
Table of Contents (16 chapters)
14
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15
Index

Kernel Memory Allocation for Module Authors – Part 2

The previous chapter covered the basics (and a lot more!) of using the available APIs for memory allocation via both the page allocator (PA) or Buddy System Allocator (BSA) and the slab allocators within the kernel. In this chapter, we will delve further into this large and interesting topic. We will cover the creation of custom slab caches, the vmalloc interfaces, and, very importantly, given the wealth of choice, which APIs to use in which situation. We shall then delve into some key kernel internal details regarding memory reclamation, the dreaded Out of Memory (OOM) killer, and demand paging.

These areas tend to be important to understand when working with kernel modules, especially with device drivers. A Linux system project’s sudden crash with merely a Killed message on the console requires some explanation, yes!? The OOM killer’s likely the sweet chap behind this...

Briefly, within this chapter...