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  3. 3 CONTRIBUTI IN ATTI DI CONVEGNO (Proceedings)
  4. 3.01 Contributi in Atti di convegno
  5. LOgging UnifieD for ASTRI Mini Array
 

LOgging UnifieD for ASTRI Mini Array

Date Issued
2022
Author(s)
INCARDONA, Federico  
•
COSTA, Alessandro  
•
MUNARI, Kevin  
•
BRUNO, Pietro Giuseppe  
•
BULGARELLI, ANDREA  
•
GERMANI, STEFANO  
•
GRILLO, Alessandro  
•
SCHWARZ, Joseph Hilary  
•
SCIACCA, Eva  
•
TOSTI, Gino  
•
VITELLO, Fabio Roberto  
•
TUDISCO, Giuseppe  
DOI
10.22323/1.395.0195
Abstract
The ASTRI (Astrofisica con Specchi a Tecnologia Replicante Italiana) Mini-Array (MA) project is an international collaboration led by the Italian National Institute for Astrophysics (INAF). ASTRI MA is composed of nine Cherenkov telescopes operating in the energy range 1-100 TeV, and it aims to study very high-energy gamma ray astrophysics and optical intensity interferometry of bright stars. ASTRI MA is currently under construction, and will be installed at the site of the Teide Observatory in Tenerife (Spain). The hardware and software system that is responsible of monitoring and controlling all the operations carried out at the ASTRI MA site is the Supervision Control and Data Acquisition (SCADA). The LOgging UnifieD (LOUD) subsystem is one of the main components of SCADA. It provides the service responsible for collecting, filtering, exposing and storing log events collected by all the array elements (telescopes, LIDAR, devices, etc.). In this paper, we present the LOUD architecture and the software stack explicitly designed for distributed computing environments exploiting Internet of Things technologies (IoT).
Coverage
37th International Cosmic Ray Conference (ICRC2021)
Series
POS PROCEEDINGS OF SCIENCE  
Volume
395
Conferenece
37th International Cosmic Ray Conference (ICRC2021)
Conferenece place
Berlin, Germany
Conferenece date
12-23 July, 2021
Uri
http://hdl.handle.net/20.500.12386/35719
Url
https://pos.sissa.it/395/
Issn Identifier
1824-8039
Rights
open.access
File(s)
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ICRC2021_195.pdf

Description
PDF editoriale
Size

1.17 MB

Format

Adobe PDF

Checksum (MD5)

ec3a227a9514cec1257b04668144909f

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