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"Developer(s) openQRM Community / openQRM Enterprise
Initial release 2004
"Stable release
[1] / 2 September 2013; 4 years ago (2013-09-02)
Written in "PHP, "C, "Shell script
"Operating system "Linux
"Platform "Hypervisors ("Xen, "KVM, "VMware ESXi) and other solutions ("Linux-VServer, "VirtualBox, "OpenVZ)
Available in English
"Type "Cloud computing
"License "GNU GPL
Website www.openqrm.org

openQRM is a "free and open-source "cloud computing management platform for managing heterogeneous "data center infrastructures.

It provides a complete Automated Workflow Engine for all Bare-Metal and VM deployment, as well as for all IT subsystems, enableing professional management and monitoring of your data center & cloud capacities.

The openQRM platform manages a data center's infrastructure to build private, public and hybrid "infrastructure as a service clouds. openQRM orchestrates storage, network, virtualization, monitoring, and security implementations[1] technologies to deploy multi-tier services (e.g. "compute clusters[2][3]) as virtual machines on distributed infrastructures, combining both data center resources and remote cloud resources, according to allocation policies.

The openQRM platform emphasizes a separation of hardware (physical servers and virtual machines) from software (operating system server-images). Hardware is treated agnostically as a computing resource which should be replaceable without the need to reconfigure the software.

Supported virtualization solutions include "KVM, "Linux-VServer, "OpenVZ, "VMware ESXi, "Hyper-V and "Xen. Virtual machines of these types are managed transparently via openQRM.

P2V (physical to virtual), V2P (virtual to physical), and V2V (virtual to virtual) migration are possible as well as transitioning from one virtualization technology to another with the same VM

openQRM is sponsored by openQRM Enterprise GmbH, a company located in "Bonn, "Germany. The openQRM Enterprise Edition is the commercially backed, extended product for professional users offering reliable support options and access to additional features. Users combine the services required. Simply integrate additional technologies and services through a large variety of plug-ins to exactly fit the use-case (OpenvSwitch, KVM, ESXi, OpenStack, AWS EC2, MS Azure, etc.). Over 50 plug-ins are available for openQRM Enterprise.

More than 400.000 Downloads With over 400.000 downloads, the popular openQRM Community Release is a free, fully open-source project sponsored by the openQRM Enterprise GmbH and licensed under the GPLv2.




openQRM was initially released by the Qlusters company and went open-source in 2004. Qlusters ceased operations, while openQRM was left in the hands of the openQRM community. In November 2008, the openQRM community released version 4.0 which included a complete port of the platform from Java to PHP/C/Perl/Shell.

Latest Release[edit]

Release 5.3.8 on 30.01.2018[edit]

5.3.8 openQRM release for Community and for Enterprise.

Dependencies have been updated to ensure compatibility to the latest Linux distributions. There is also an enhanced check for PHP versions in place as well as full support for PHP 7. While openQRM fully supports PHP7, some integrated technologies have not yet completed up this step. In this case Magento, Mantis and I-do-it Integration may still require PHP 5.

The new openQRM 5.3.8 is tested on: Debian 8/9, Ubuntu 16.x + 17.x and Centos 7.

The 5.3.5 Community Release includes updated package dependencies.

The 5.3.2 Community Release includes enhanced package dependencies for latest Ubuntu, Debian, CentOS and removed rpmforge repository dependencies.

The 5.3.1 Community Release includes important security updates, bugfixes and enhancements, especially for the KVM and Cloud plug-ins.

See also[edit]


  1. ^ "openQRM Features and Functionality". OpenNebula documentation. Retrieved 13 October 2011. 
  2. ^ R. Moreno-Vozmediano, R. S. Montero, and "I. M. Llorente. "Multi-Cloud Deployment of Computing Clusters for Loosely-Coupled MTC Applications", Transactions on Parallel and Distributed Systems. Special Issue on Many Task Computing (in press, "doi:10.1109/TPDS.2010.186)
  3. ^ R. S. Montero, R. Moreno-Vozmediano, and "I. M. Llorente. "An Elasticity Model for High Throughput Computing Clusters", J. Parallel and Distributed Computing (in press, DOI: 10.1016/j.jpdc.2010.05.005)

External links[edit]

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