DRM4G is an open platform, based on ?GridWay , to define, submit, and manage computational jobs. DRM4G is a Python (2.6+, 3.3+) implementation that provides a single point of control for computing resources without installing any intermediate middlewares. As a result, a user is able to run the same job on laptops, desktops, workstations, clusters, supercomputers, and any grid.
- Ready-to-run: The DRM4G bundle can be unpacked and then ran on any on any Linux OS.
- Huge amount of jobs: DRM4G is able to manage around 1,000,000 jobs at the same time.
- Different identities on different resources: DRM4G handles different user accounts on various resources through a single interface.
- One command: In order to make easier to use DRM4G, there is only one command available, which is drm4g.
What is DRM4G's architecture?
Infrastructure layer consists of the following components :
- DRM4G CLI offers users commands to submit, cancel, and monitor jobs and configure resources.
- GridWay core is in charge of job execution and resource brokering. DRM4G takes the most of GridWay by using its core.
- DRM4G Middleware Access Driver (MAD) gives access to computing resources. In order to do that, there are two kind of components:
- Resource Manager is responsible for collecting resource information.
- Communicator provides the authentication type to access them.
- DRM4G Sched is responsible for scheduling jobs.
- Management of VOs (Virtual Organizations)
- Dynamically create and destroy VMs
- Integration of cloud providers based on LibCloud's API
List of all releases
Examples of usage
This section contains examples on how to use the DRM4G CLI.
drm4g is DRM4G's Command Line Interface (CLI) for administrating both computing resources and jobs.
In order to use the DRM4G API, you only have to install DRM4G on your machine. This python API allows you to create, submit, cancel and monitor DRM4G jobs.