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Mastering KVM Virtualization

You're reading from   Mastering KVM Virtualization Design expert data center virtualization solutions with the power of Linux KVM

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781838828714
Length 686 pages
Edition 2nd Edition
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Concepts
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Authors (4):
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Humble Devassy Chirammal Humble Devassy Chirammal
Author Profile Icon Humble Devassy Chirammal
Humble Devassy Chirammal
Prasad Mukhedkar Prasad Mukhedkar
Author Profile Icon Prasad Mukhedkar
Prasad Mukhedkar
Vedran Dakic Vedran Dakic
Author Profile Icon Vedran Dakic
Vedran Dakic
Anil Vettathu Anil Vettathu
Author Profile Icon Anil Vettathu
Anil Vettathu
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Table of Contents (22) Chapters Close

Preface 1. Section 1: KVM Virtualization Basics
2. Chapter 1: Understanding Linux Virtualization FREE CHAPTER 3. Chapter 2: KVM as a Virtualization Solution 4. Section 2: libvirt and ovirt for Virtual Machine Management
5. Chapter 3: Installing KVM Hypervisor, libvirt, and oVirt 6. Chapter 4: Libvirt Networking 7. Chapter 5: Libvirt Storage 8. Chapter 6: Virtual Display Devices and Protocols 9. Chapter 7: Virtual Machines: Installation, Configuration, and Life Cycle Management 10. Chapter 8: Creating and Modifying VM Disks, Templates, and Snapshots 11. Section 3: Automation, Customization, and Orchestration for KVM VMs
12. Chapter 9: Customizing a Virtual Machine with cloud-init 13. Chapter 10: Automated Windows Guest Deployment and Customization 14. Chapter 11: Ansible and Scripting for Orchestration and Automation 15. Section 4: Scalability, Monitoring, Performance Tuning, and Troubleshooting
16. Chapter 12: Scaling Out KVM with OpenStack 17. Chapter 13: Scaling out KVM with AWS 18. Chapter 14: Monitoring the KVM Virtualization Platform 19. Chapter 15: Performance Tuning and Optimization for KVM VMs 20. Chapter 16: Troubleshooting Guidelines for the KVM Platform 21. Other Books You May Enjoy

Tuning the CPU and memory with NUMA

Before we start tuning the CPU and memory for NUMA-capable systems, let's see what NUMA is and how it works.

Think of NUMA as a system where you have more than one system bus, each serving a small set of processors and associated memory. Each group of processors has its own memory and possibly its own I/O channels. It may not be possible to stop or prevent running VM access across these groups. Each of these groups is known as a NUMA node.

In this concept, if a process/thread is running on a NUMA node, the memory on the same node is called local memory and memory residing on a different node is known as foreign/remote memory. This implementation is different from the Symmetric Multiprocessor System (SMP), where the access time for all of the memory is the same for all the CPUs, as memory access happens through a centralized bus.

An important subject in discussing NUMA is the NUMA ratio. The NUMA ratio is a measure of how quickly a CPU...

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