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|Developer(s)||OPENQRM AUSTRALIA PTY LTD|
5.3.8 / 24 September 2020
|Written in||PHP, C, Shell script|
|Platform||Hypervisors (Xen, KVM, VMware ESXi) and other solutions (Linux-VServer, VirtualBox, OpenVZ)|
|License||Community (GNU GPL v2)/Commercial|
It provides a complete Automated Workflow Engine for all Bare-Metal and VM deployment, as well as for all IT subsystems, enabling professional management and monitoring of your data centre & cloud capacities.
The openQRM platform manages a data centre's infrastructure to build private, public and hybrid infrastructure as a service clouds. openQRM orchestrates storage, network, virtualisation, monitoring, and security implementations technologies to deploy multi-tier services (e.g. compute clusters) as virtual machines on distributed infrastructures, combining both data centre resources and remote cloud resources, according to allocation policies.
The openQRM platform emphasises a separation of hardware (physical servers and virtual machines) from software (operating system server-images). Hardware is treated agnostically as a computing resource that should be replaceable without the need to reconfigure the software.
P2V (physical to virtual), V2P (virtual to physical), and V2V (virtual to virtual) migration are possible as well as transitioning from one virtualisation technology to another with the same VM
openQRM is developed and distributed by OPENQRM AUSTRALIA PTY LTD, a company located in New South Wales, Australia. 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.
openQRM utilises plug-ins to customise its functionality. These plug-ins allow for increased integration and compatibility.
Their plug-in library is ever-expanding and falls into the categories; Cloud, Container, Deployment, Documentation, High-Availability, Management, Miscellaneous, Monitoring, Network, Storage and Virtualisation.
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.
In 2020, openQRM Enterprise GmbH had its assets ad intellectual property acquired by Fiveways International Ltd, who appointed OPENQRM AUSTRALIA PTY LTD as the master distributor.
Release 5.3.8 on 30.01.2018
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.
- "10 Open Source tools for Cloud Infrastructure and Management". PCQuest. 2017-03-20. Retrieved 2018-10-22.
- "openQRM Features and Functionality". OpenNebula documentation. Retrieved 13 October 2011.
- 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)
- 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)