Asymmetric distribution of data products from WALLABY, an SKA precursor neutral hydrogen survey
The Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY) is a neutral hydrogen survey (HI) that is running on the Australian SKA Pathfinder (ASKAP), a precursor telescope for the Square Kilometre Array (SKA). The goal of WALLABY is to use ASKAP's powerful wide-field phased array feed te...
Gespeichert in:
Hauptverfasser: | , , , , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY) is a neutral
hydrogen survey (HI) that is running on the Australian SKA Pathfinder (ASKAP),
a precursor telescope for the Square Kilometre Array (SKA). The goal of WALLABY
is to use ASKAP's powerful wide-field phased array feed technology to observe
three quarters of the entire sky at the 21 cm neutral hydrogen line with an
angular resolution of 30 arcseconds. Post-processing activities at the
Australian SKA Regional Centre (AusSRC), Canadian Initiative for Radio
Astronomy Data Analysis (CIRADA) and Spanish SKA Regional Centre prototype
(SPSRC) will then produce publicly available advanced data products in the form
of source catalogues, kinematic models and image cutouts, respectively. These
advanced data products will be generated locally at each site and distributed
across the network. Over the course of the full survey we expect to replicate
data up to 10 MB per source detection, which could imply an ingestion of tens
of GB to be consolidated in the other locations near real time. Here, we
explore the use of an asymmetric database replication model and strategy, using
PostgreSQL as the engine and Bucardo as the asynchronous replication service to
enable robust multi-source pools operations with data products from WALLABY.
This work would serve to evaluate this type of data distribution solution
across globally distributed sites. Furthermore, a set of benchmarks have been
developed to confirm that the deployed model is sufficient for future
scalability and remote collaboration needs. |
---|---|
DOI: | 10.48550/arxiv.2303.11670 |