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Title | github wiki | Man-hours required | Date | Finalized | Owners | Skills | Description | Raison d'etre / Value Derived |
|---|---|---|---|---|---|---|---|---|
| 10/10/2011 - 21/10/2011 |
|
| Capture what we need to the collaboration between ICRAR and TW successful | We want a clear understanding of the goal of this collaboration and how to ensure it is successful | |||
10/10/2011 | 26/10/2011 | PHP, MySQL | Rewrite GAIA Parameter database application | Sample project to show how agile methodology, technologies and infrastructure tools work in practice | ||||
Turn GAIA PDB into SKA PDB | ska-pdb | 01/12/2011 |
| Ruby on Rails, MySQL | The version of the GAIA PDB delivered by GAIA Parameter DB refresh should be converted into a deployable SKA parameter database | Have a single, accessible repository for technical and natural properties related to the SKA. | ||
NGAS FUSE storage | ngas-fuse | 01/12/2011 |
| Python, FUSE, HTTP | Implement a FUSE based container storage into NGAS | Allow physical packaging of files into single container (user based filesystem) | ||
| NGAS FUSE file system | ngasfs | 08/08/2014 | Python, FUSE, sqlite, HTTP, PyFilesystem | Implement a NGAS FUSE file system on-top of SQLite and PyFilesystem. Allow for user defined filters, limiting the number of file objects. | Allow users to mount NGAS as a part of their standard file system and thus provide posix-like functionality. | |||
VO cone search cube server | vo-data-cube-cone-search | 01/12/2011 |
| client-server, Java or Python | Implement a VO cone search server for multi-res radio data cubes | Alllow Virtual Observatory Tools to retrieve columns of data cubes via standard VO cone search | ||
Moving MAGPHYS to BOINC | 05/12/2011 |
| C, Php, Fortran | Port the MAGPHYS project into the BOINC environment | Take advantage of existing BOINC user base for calculating spectral energy density, which can be used to tell the story of how the galaxy evolved. | |||
Moving GalFit to BOINC | boinc-galfit | 05/12/2011 |
| C, Php, Fortran | Port the GalFit project into the BOINC environment | Take advantage of existing BOINC user base for classifying galaxies. | ||
Moving Python Source Finder to BOINC | boinc-source-finder | 05/12/2011 |
| C, Php, Python | Port the MAGPHYS project into the BOINC environment | Take advantage of existing BOINC user base for finding galaxies (sources). | ||
| NGAS VOSpace | 24/10/2012 | Python | Implement a VOSpace interface on-top of NGAS. This is now revived with the implementation of pvospace by Dave Pallot | Provide VOSpace capabilites for ICRAR | ||||
| NGAS Interface on-top of S3 | Python | Implement an NGAS compliant interface on-top of S3 | Provides NGAS functionality and easy cross-utilisation of S3 enabled storage. | |||||
| NGAS Minio gateway |
| Andreas Wicenec | Python, Go | Implement a gateway for NGAS in Minio. Minio is written in Go. | This would allow us to expose NGAS as a S3 compliant object store. Essentially the reverse of the above. | |||
| NGAS Minio underneath ownCloud/CloudStor |
| Andreas Wicenec | Python, Go, configuration | Integrate Minio with a NGAS gateway with ownCloud | In this way we would be able to have NGAS exposed directly to the desktop of users. Pretty cool!!! | |||
| Integrate BeeGFS with DALiuGE |
| Python, C(?) | BeeGFS offers functionality, which closely resembles advanced design features required by DALiuGE. One being storage pools another being beeond (BeeGFS on Demand). This project would implement an integration within DALiuGE to use those BeeGFS features. | Enables advanced DALiuGE features in terms of data placement and resilience control | ||||
| DALiuGE PGT to DASK graph translator |
| Python | Translating a DALiuGE Physical Graph Template (PGT) into a DASK graph essentially requires translating a JSON file into a Python dictionary. This project aims to implement such a translator. | Enable running EAGLE graphs with DASK. Inform us about missing features from DALiuGE or DASK. | ||||
| Benchmarking and Optimising Radio Astronomy Data I/O |
| Andreas Wicenec | Python/C/C++ | Produce a comprehensive and flexible benchmark suite to measure and analyse access to large Measurement Set data sets. Should include highly parallel data access patterns distributed across many processes and nodes in a cluster. Second part is to analyse measurements on various platforms/systems and derive potential optimisations. | A dedicated MS benchmarking suite. Optimisation of data distribution and access software for selected platforms/systems. |