Code Monkey home page Code Monkey logo

virtualbox-kvm's Introduction

VirtualBox KVM

This repository contains an adapted version of the open source virtualization tool VirtualBox called VirtualBox KVM. VirtualBox KVM uses Linux KVM as the underlying hypervisor.

What to expect

The basic look and feel of VirtualBox KVM will be the same as with an conventional VirtualBox. The user is able to boot the same guest VMs in their existing VirtualBox configuration.

Nonetheless, there are the following benefits of using VirtualBox KVM compared to the conventional VirtualBox:

  • VirtualBox can run in parallel to QEMU/KVM
  • VirtualBox kernel driver (vboxdrv) is not required
  • Modern virtualization features supported by KVM are automatically used (e.g. APICv)
  • KVM is part of the Linux kernel and therefore always directly available with every kernel update

Due to the replacement of the underlying hypervisor, there will be differences in the guest performance. Performance differences heavily depend on the guest workload.

How to use

There are no prebuilt packages of VirtualBox KVM and it needs to be built from source. The process of building VirtualBox from source can be found on virtualbox.org and only minor adjustments are required to build VirtualBox with KVM as a backend.

On a fresh install of Ubuntu 22.04, you can use the following command to install all prerequisites via apt:

apt install acpica-tools chrpath doxygen g++-multilib libasound2-dev libcap-dev \
        libcurl4-openssl-dev libdevmapper-dev libidl-dev libopus-dev libpam0g-dev \
        libpulse-dev libqt5opengl5-dev libqt5x11extras5-dev qttools5-dev libsdl1.2-dev libsdl-ttf2.0-dev \
        libssl-dev libvpx-dev libxcursor-dev libxinerama-dev libxml2-dev libxml2-utils \
        libxmu-dev libxrandr-dev make nasm python3-dev python2-dev qttools5-dev-tools \
        texlive texlive-fonts-extra texlive-latex-extra unzip xsltproc \
        \
        default-jdk libstdc++5 libxslt1-dev linux-kernel-headers makeself \
        mesa-common-dev subversion yasm zlib1g-dev glslang-tools \
        libc6-dev-i386 lib32stdc++6 libtpms-dev

Newer GCC versions (>= 12) might cause build issues. The command above installs a compatible version on Ubuntu 22.04.

After having all the prerequisites installed, the build process can be condensed to the following steps:

$ ./configure --with-kvm --disable-kmods --disable-docs --disable-hardening --disable-java
$ source ./env.sh
$ kmk
$ out/linux.amd64/release/bin/VirtualBox

The noticeable difference to the official build process is the addition of --with-kvm when calling ./configure.

Known issues and limitations

  • Currently, Intel x86_64 is the only supported host platform.
    • AMD will most likely work too but is considered experimental at the moment.
  • Linux is required as a host operating system for building and running VirtualBox KVM.
  • Starting with Intel Tiger Lake (11th Gen Core processors) or newer, split lock detection must be turned off in the host system. This can be achieved using the Linux kernel command line parameter split_lock_detect=off or using the split_lock_mitigate sysctl.

How to engage

If you would like to use VirtualBox with KVM or if you have a need for custom virtualization solutions, we are happy to provide guidance and engineering services. Please reach out to us via our support form or via e-mail at [email protected].

If you encounter any issues please use the provided issue template and describe your problem as detailed as possible.

virtualbox-kvm's People

Contributors

hertrste avatar messemar avatar kaldonir avatar amphi avatar tpressure avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.