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Difference between revisions of "Workload Manager"
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= EGI Workload Manager = | |||
Workload manager is a service is provided to the EGI community as | |||
*a workload management service used to distribute the users' computing tasks among the available resources both HTC and cloud. | |||
*service for managing massively distributed data. | |||
'''Main features''' | |||
Workload Manager provides a Workload Management Service (WMS) for High Throughput Computing resources based on [http://diracgrid.org/ DIRAC], which improves the general job throughput compared with native management of grid computing resources. Cloud computing resources are managed as well in a uniform and transparent way for the users. | |||
Workload Manager configuration allows to choose appropriately computing and storage resources maximising their usage efficiency for particular user requirements. | |||
Workload Manager File Catalogue includes replica, metadata and provenance functionality simplifying the development of scientific application accessing data in distributed environments. | |||
All the Workload Manager functionality is accessible through friendly user interfaces, including a Web Portal. It has an open architecture and allows easy extensions for the needs of particular applications. | |||
DIRAC data and job management systems ensure proven production scalability up to peaks of more than 100 thousand concurrently running jobs for the LHCb experiment. This is by far large enough for the computing requirements of environmental science in a sensible temporal horizon. | |||
Revision as of 12:36, 5 June 2018
EGI Workload Manager
Workload manager is a service is provided to the EGI community as
- a workload management service used to distribute the users' computing tasks among the available resources both HTC and cloud.
- service for managing massively distributed data.
Main features
Workload Manager provides a Workload Management Service (WMS) for High Throughput Computing resources based on DIRAC, which improves the general job throughput compared with native management of grid computing resources. Cloud computing resources are managed as well in a uniform and transparent way for the users. Workload Manager configuration allows to choose appropriately computing and storage resources maximising their usage efficiency for particular user requirements. Workload Manager File Catalogue includes replica, metadata and provenance functionality simplifying the development of scientific application accessing data in distributed environments. All the Workload Manager functionality is accessible through friendly user interfaces, including a Web Portal. It has an open architecture and allows easy extensions for the needs of particular applications. DIRAC data and job management systems ensure proven production scalability up to peaks of more than 100 thousand concurrently running jobs for the LHCb experiment. This is by far large enough for the computing requirements of environmental science in a sensible temporal horizon.