Difference between revisions of "FedCloudLOFAR"
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FCUC_ShortDesc = | FCUC_ShortDesc = | ||
This project aims to integrate calibration, analysis and modelling pipelines of radio-astronomy data into a cloud infrastructure. It is developed jointly by users of the | This project aims to integrate calibration, analysis and modelling pipelines of radio-astronomy data into a cloud infrastructure. It is developed jointly by users of the [www.lofar.org LOFAR] radio-telescope and members of the [http://amiga.iaa.es AMIGA4GAS] project. | ||
A cloud infrastructure like the EGI Federated Cloud provides: | A cloud infrastructure like the EGI Federated Cloud provides: | ||
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Development of a calibration pipeline for LOFAR data. The calibration of data from the radio-interferometer LOFAR requires a high capacity of storage and parallel processing. The software -relatively difficult to install and under heavy development- will be first installed into a custom image. Several configurations of virtual clusters will be used to run and profile different calibration pipelines. LOFAR users would be able to use, at a later stage, the best configuration and pipeline for the calibration of the data. | Development of a calibration pipeline for LOFAR data. The calibration of data from the radio-interferometer LOFAR requires a high capacity of storage and parallel processing. The software -relatively difficult to install and under heavy development- will be first installed into a custom image. Several configurations of virtual clusters will be used to run and profile different calibration pipelines. LOFAR users would be able to use, at a later stage, the best configuration and pipeline for the calibration of the data. | ||
The community would like to use the COMPSs high level tool to port the application on the EGI Federated Cloud. | The community would like to use the [https://wiki.egi.eu/wiki/Fedcloud-tf:How_to_use_COMPSs COMPSs] high-level tool to port the application on the EGI Federated Cloud. | ||
'''Requirements''' | '''Requirements''' | ||
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* Number of CPUs: At least 2 per instance.| | * Number of CPUs: At least 2 per instance.| | ||
FCUC_Files = | FCUC_Files = | ||
| | * [www.lofar.org LOFAR radio-telescope web site] | ||
* [http://amiga.iaa.es AMIGA4GAS project web site] | |||
* [https://wiki.egi.eu/wiki/Fedcloud-tf:How_to_use_COMPSs COMPSs] high-level tool| | |||
}} | }} |
Revision as of 18:42, 23 December 2014
General Information
- Status: Preparatory
- Start Date: 06/10/2014
- End Date: -
- EGI.eu contact: Diego Scardaci / diego.scardaci@egi.eu, Enol Fernandez / enol.fernandez@egi.eu
- External contact: José Sabater Montez / jsm@iaa.es, Daniele Lezzi / daniele.lezzi@bsc.es
Short Description
This project aims to integrate calibration, analysis and modelling pipelines of radio-astronomy data into a cloud infrastructure. It is developed jointly by users of the [www.lofar.org LOFAR] radio-telescope and members of the AMIGA4GAS project.
A cloud infrastructure like the EGI Federated Cloud provides:
- flexibility to develop innovative processing pipelines;
- a powerful frame for parallel processing pipelines and workflows;
- the advantage of the elastic on-demand resource consumption.
Use Case
Development of a calibration pipeline for LOFAR data. The calibration of data from the radio-interferometer LOFAR requires a high capacity of storage and parallel processing. The software -relatively difficult to install and under heavy development- will be first installed into a custom image. Several configurations of virtual clusters will be used to run and profile different calibration pipelines. LOFAR users would be able to use, at a later stage, the best configuration and pipeline for the calibration of the data.
The community would like to use the COMPSs high-level tool to port the application on the EGI Federated Cloud.
Requirements
- Storage: about 3 TB for the tests.
- Memory: possibility to launch instances with as much memory as possible. The amount of available memory will limit the size and resolution of the final LOFAR images. A full resolution image of 20000x20000 pixels would require about 64 GB of memory.
- Number of instances: At least three instances, one control node and two working nodes.
- Number of CPUs: At least 2 per instance.
Additional Files
- [www.lofar.org LOFAR radio-telescope web site]
- AMIGA4GAS project web site
- COMPSs high-level tool