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Calibration of LOFAR data on the cloud by Sabater, J.; Expósito, S. Sánchez; Best, P. N.; Garrido, J.; Verdes-Montenegro, L.; Lezzi, D. is a scholarly article available to read on EtoBox.

What is Calibration of LOFAR data on the cloud about?

New scientific instruments are starting to generate an unprecedented amount of data. LOFAR, one of the Square Kilometre Array pathfinders, is already producing data on a petabyte scale. The calibration of these data presents a huge challenge for final users: a) extensive storage and computing resources are required; b) the installation and maintenance of the processing software is not trivial; and c) the requirements of (experimental) calibration pipelines are quickly evolving. After encountering some limitations in classical infrastructures, we investigated the viability of cloud infrastructures as a solution. We found that the installation and operation of LOFAR data calibration pipelines is not only possible, but can also be efficient in cloud infrastructures. The main advantages were: (1) ease of software installation and maintenance, and the availability of standard APIs and tools, widely used in the industry; this reduces the requirement for significant manual intervention, which can have a highly negative impact; (2) flexibility to adapt the infrastructure to the needs of the problem, especially as those demands change over time; (3) on-demand consumption of (shared) resourc

Author

Sabater, J.; Expósito, S. Sánchez; Best, P. N.; Garrido, J.; Verdes-Montenegro, L.; Lezzi, D.

Published

2017

Language

EN