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Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA)
Russ Taylor1,2, Fabio Porto3, Chenzhou Cui4
1University of Cape Town, Inter-University Institute for Data Intensive Astronomy, Department of Astronomy, Private Bag X3, 7701, Rondebosch, Cape Town, South Africa.
Astronomy faces a big data challenge with new telescopes like the Square Kilometre Array (SKA). This project develops scalable big data technologies and a cloud network for international astronomical data innovation.
Area of Science:
- Astronomy and Data Science
- Big Data Analytics in Radio Astronomy
Background:
- The Square Kilometre Array (SKA) and Large Synoptic Survey Telescope (LSST) generate unprecedented volumes of astronomical data.
- Conventional research methods and tools are insufficient for analyzing mega-data from next-generation facilities.
- International collaborations are essential to address the big data challenges in modern astronomy.
Purpose of the Study:
- To develop and demonstrate scalable big data technologies for radio astronomy and multi-wavelength projects.
- To establish a BRICS multinational federated data-intensive cloud network for collaborative research.
- To advance astronomical data analytics and overcome the limitations of current research methods.
Main Methods:
- Collaborative development of new technologies and systems by international data innovation teams.
- Prototyping and demonstrating scalable big data solutions.
- Establishing a federated cloud network for data-intensive astronomy.
Main Results:
- Development of advanced big data technologies tailored for astronomical mega-data.
- Establishment of a multinational cloud network facilitating collaborative research.
- Demonstration of scalable solutions for future astronomical data challenges.
Conclusions:
- The project successfully addresses the big data challenges posed by facilities like the SKA.
- The developed technologies and cloud network will accelerate data-intensive astronomy research.
- International collaboration is key to unlocking scientific discoveries in the era of mega-data.
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