what is linux kvm
In Linux, kvm's full name is "Kernel-based Virtual Machine", which is an open source system virtualization module; KVM can help developers transform Linux into a virtual machine monitoring program, allowing the host computer to run multiple Isolated virtual environment.
#The operating environment of this tutorial: linux5.9.8 system, Dell G3 computer.
linux kvm (kernel-based virtual machine)
kvm is Kernel-based Virtual Machine, an open source system virtualization module. It is an open source virtualization technology built into Linux and has been integrated into all major Linux distributions since Linux 2.6.20.
KVM helps you turn Linux into a hypervisor, enabling a host computer to run multiple isolated virtual environments, known as virtual guests or virtual machines (VMs).
It uses Linux's own scheduler for management, so compared to Xen, its core source code is very small. KVM has now become one of the mainstream VMMs in academia.
KVM virtualization requires hardware support (such as Intel VT technology or AMD V technology). It is a complete virtualization based on hardware. In the early days of Xen, it was Para-Virtualization based on software simulation, while the new version is based on full virtualization supported by hardware. However, Xen itself has its own process scheduler, storage management module, etc., so the code is relatively large. The widely circulated commercial system virtualization software VMware ESX series is Full-Virtualization based on software simulation.
How does KVM work?
KVM turns Linux into a Type 1 (bare metal recovery) hypervisor. All hypervisors require some operating system-level components to run virtual machines, such as memory managers, process schedulers, input/output (I/O) stacks, device drivers, security managers, and network stacks. Since KVM is part of the Linux kernel, it has all of these components. Each virtual machine is implemented like a normal Linux process, scheduled by the standard Linux scheduler, and uses specialized virtual hardware such as network cards, graphics adapters, CPUs, memory, disks, etc.
Prerequisites for installing KVM:
1. Make sure the machine has VT
Terminal input command: grep vmx /proc/cpuinfo (INTEL chip)
grep svm /proc/cpuinfo (AMD chip)
If you don’t know the manufacturer of the chip, enter: egrep '(vmx|svm)' /proc/cpuinfo
If Flags: If there is vmx or svm in it, it means that VT is supported; if there is no output, it means that your CPU does not support it and the KVM virtual machine will not be successfully installed.
2. Make sure VT is turned on in the BIOS
Intel(R) Virtualization Tech [Enabled]
If necessary, you also need to turn on VT-d
# in the BIOS ##3. Make sure the kernel version is newer and supports KVMUse uname -r to check the kernel version. If the Linux version is below 2.6.20, you need to upgrade the kernel.Summary:
Generally speaking, it is a virtual machine software that can create a new virtual machine under Linux; compared with VMware, Linux’s KVM technology has native Kernel support is relatively faster than VMware. If you are using the desktop version of Ubuntu/CentOS, it is recommended to use KVM to install the virtual machine directly. There is no need to add an additional layer of VMware. Related recommendations: "Linux Video Tutorial"
The above is the detailed content of what is linux kvm. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



How to use Docker Desktop? Docker Desktop is a tool for running Docker containers on local machines. The steps to use include: 1. Install Docker Desktop; 2. Start Docker Desktop; 3. Create Docker image (using Dockerfile); 4. Build Docker image (using docker build); 5. Run Docker container (using docker run).

Docker process viewing method: 1. Docker CLI command: docker ps; 2. Systemd CLI command: systemctl status docker; 3. Docker Compose CLI command: docker-compose ps; 4. Process Explorer (Windows); 5. /proc directory (Linux).

Troubleshooting steps for failed Docker image build: Check Dockerfile syntax and dependency version. Check if the build context contains the required source code and dependencies. View the build log for error details. Use the --target option to build a hierarchical phase to identify failure points. Make sure to use the latest version of Docker engine. Build the image with --t [image-name]:debug mode to debug the problem. Check disk space and make sure it is sufficient. Disable SELinux to prevent interference with the build process. Ask community platforms for help, provide Dockerfiles and build log descriptions for more specific suggestions.

VS Code system requirements: Operating system: Windows 10 and above, macOS 10.12 and above, Linux distribution processor: minimum 1.6 GHz, recommended 2.0 GHz and above memory: minimum 512 MB, recommended 4 GB and above storage space: minimum 250 MB, recommended 1 GB and above other requirements: stable network connection, Xorg/Wayland (Linux)

The reasons for the installation of VS Code extensions may be: network instability, insufficient permissions, system compatibility issues, VS Code version is too old, antivirus software or firewall interference. By checking network connections, permissions, log files, updating VS Code, disabling security software, and restarting VS Code or computers, you can gradually troubleshoot and resolve issues.

VS Code is available on Mac. It has powerful extensions, Git integration, terminal and debugger, and also offers a wealth of setup options. However, for particularly large projects or highly professional development, VS Code may have performance or functional limitations.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

How to back up VS Code configurations and extensions? Manually backup the settings file: Copy the key JSON files (settings.json, keybindings.json, extensions.json) to a safe location. Take advantage of VS Code synchronization: enable synchronization with your GitHub account to automatically back up all relevant settings and extensions. Use third-party tools: Back up configurations with reliable tools and provide richer features such as version control and incremental backups.
