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Title Big Data Architectures for Logging and Monitoring Large Scale Telescope Arrays
  • A. Costa, U. Becciani, P. Bruno, A.S. Calanducci, A. Grillo, S. Riggi, E. Sciacca, F. Vitello
    INAF-OACT, Catania, Italy
  • V. Conforti, F. Gianotti
    INAF, Bologna, Italy
  • J. Schwarz
    INAF-Osservatorio Astronomico di Brera, Merate, Italy
  • G. Tosti
    Università degli di Perugia, Perugia, Italy
Abstract Large volumes of technical and logging data result from the operation of large scale astrophysical infrastructures. In the last few years several "Big Data" technologies have been developed to deal with a huge amount of data, e.g. in the Internet of Things (IoT) framework. We are comparing different stacks of Big Data/IoT architectures including high performance distributed messaging systems, time series databases, streaming systems, interactive data visualization. The main aim is to classify these technologies based on a set of use cases typically related to the data produced in the astronomical environment, with the objective to have a system that can be updated, maintained and customized with a minimal programming effort. We present the preliminary results obtained, using different Big Data stack solution to manage some use cases related to quasi real-time collection, processing and storage of the technical data, logging and technical alert produced by the array of nine ASTRI telescopes that are under development by INAF as a pathfinder array for the Cherenkov astronomy in the TeV energy range.
Footnotes & References *ASTRI Project: http://www.brera.inaf.it/~astri/wordpress/
**CTA Project: https://www.cta-observatory.org/
Funding This work was partially supported by the ASTRI "Flagship Project" financed by the Italian Ministry of Education, University, and Research and led by the Italian National Institute of Astrophysics.
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Conference ICALEPCS2019
Series International Conference on Accelerator and Large Experimental Physics Control Systems (17th)
Location New York, NY, USA
Date 05-11 October 2019
Publisher JACoW Publishing, Geneva, Switzerland
Editorial Board Karen S. White (ORNL, Oak Ridge, TN, USA); Kevin A. Brown (BNL, Upton, NY, USA); Philip S. Dyer (BNL, Upton, NY, USA); Volker RW Schaa (GSI, Darmstadt, Germany)
Online ISBN 978-3-95450-209-7
Online ISSN 2226-0358
Received 02 October 2019
Accepted 09 October 2019
Issue Date 30 August 2020
DOI doi:10.18429/JACoW-ICALEPCS2019-MOPHA032
Pages 268-271
Creative Commons CC logoPublished by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.