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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

CPU bandwidth control with cgroups

In the hazy past, the kernel community struggled mightily with a rather vexing issue: though scheduling algorithms and their implementations – the early 2.6.0 O(1) scheduler, and a little later (with 2.6.23), the Completely Fair Scheduler (CFS) – promised, well, completely fair scheduling, it really wasn't. Think about this for a moment: let's say you are logged into a Linux server along with nine other people. Everything else being equal, it is likely that processor time is (more or less) fairly shared between all ten  people; of course, you will understand that it's not really people that run, it's processes and threads that run on their behalf.

For now at least, let's assume it's mostly fairly shared. But, what if you write a user space program that, in a loop, indiscriminately spawns off several new threads, each of which perform a lot of CPU-intensive work (and perhaps as an added bonus, allocates...

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