Astron

Streaming analytics used to deliver insight from the world’s largest radio telescope

Published on 08-Oct-2013

Validated on 08 Oct 2013

"By using streaming analytics to analyze a deluge of astronomical data, researchers will be able to delve deeper into the mysteries of the universe than ever before." - Astron

Customer:
Astron

Industry:
Government

Deployment country:
Netherlands

Solution:
BA - Business Analytics, BA - Predictive Analytics, Big Data, Big Data & Analytics, Big Data & Analytics: Improve IT, IBM Research, Smarter Planet

Overview

Headquartered in Dwingeloo, ASTRON is the National Institute for Radio Astronomy in the Netherlands.

Business need:
ASTRON needed to develop a resource- and energy-efficient way for astronomers to analyze an unprecedented amount of unstructured data from what is designed to become the largest radio telescope ever built.

Solution:
ASTRON built a streaming analytics platform that runs on energy-efficient exascale supercomputing technology.

Benefits:
The solution also accelerates the identification of relevant images and data by approximately 99 percent, making the information available to astronomers for analysis in minutes as opposed to days.

Case Study

Headquartered in Dwingeloo, ASTRON is the National Institute for Radio Astronomy in the Netherlands. Its main mission to make discoveries in radio astronomy through the development of new and innovative technologies, the operation of world-class radio astronomy facilities and the pursuit of fundamental research. The institute is currently researching the technologies needed to develop the Square Kilometer Array (SKA), which is designed to become the largest and most powerful radio telescope in the world.

The Opportunity
ASTRON needed to develop a resource- and energy-efficient way for astronomers to analyze an unprecedented amount of unstructured data from what is designed to become the largest radio telescope ever built.

What Makes It Smarter
ASTRON built a streaming analytics platform that runs on energy-efficient exascale supercomputing technology. Collecting data from 3,000 dishes composing the telescope network, the new solution will use advanced algorithms to correlate radio signals with existing astronomical data, quickly providing astronomers around the world with relevant new images of galaxies, dark matter and the universe. By analyzing this information, the institute expects to gain insight into major astronomical questions.

Real Business Results
Upon completion, the streaming analytics platform will facilitate the daily analysis of more than one exabyte of data, which is twice the amount currently generated by daily Internet traffic. The solution also accelerates the identification of relevant images and data by approximately 99 percent, making the information available to astronomers for analysis in minutes as opposed to days. By analyzing a massive amount of data from the SKA telescope, ASTRON expects to gain insight to help answer important astronomical questions. Finally, because the streaming analytics solution will support the largest radio telescope in the world and represents one of the largest data-analysis projects yet conceived, ASTRON anticipates that the solution will have future applications in a wide range of industries.

For More Information
Please contact your IBM representative or IBM Business Partner. Visit us at ibm.com/spss.

To learn more about Astron, visit http://www.astron.nl.

Products and services used

IBM products and services that were used in this case study.

Software:
InfoSphere Streams, SPSS Modeler

Legal Information

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