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DIGITAL.CSIC
Article . 2020
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GlSch: Observation plan scheduler for the gloria telescope network GlSch: Planificación de Observaciones en la red de Telescopios GLORIA

Authors: López-Casado, Carmen; Pérez del Pulgar, C.J.; Muñoz Martínez, V. F.; Castro-Tirado, Alberto J.;

GlSch: Observation plan scheduler for the gloria telescope network GlSch: Planificación de Observaciones en la red de Telescopios GLORIA

Abstract

This paper proposes the design and development of a telescope network scheduler for the GLORIA telescope network. This telescope network, which main objective is helping users to get involved in astronomy research, is composed by 18 heterogeneous telescopes located in different countries. These telescopes are managed by the scheduler to execute the observations requested by the users. A key module of this scheduler is the telescope decision algorithm which objective is to avoid serving an observation to a telescope that cannot execute it. This paper proposes two different algorithms: the first one is based on weather forecast, and the other one is based on fuzzy logic. Both algorithms were deployed and used into the GLORIA network, an analysis of the results and a performance comparative between both algorithm are shown in this paper. As well, the scheduler architecture based on a hybrid distributed-centralised schema is detailed.© 2018 Universitat Politecnica de Valencia. All rights reserved.

Este trabajo ha sido realizado parcialmente gracias al proyecto GLORIA. GLObal Robotic telescopes Intelligent Array for e-Science (GLORIA) es un proyecto financiado por la Union Europea bajo el Séptimo Programa Marco (FP7 ´ /2007- 2012) bajo la concesion número 283783

Open Access publicado bajo una licencia Creative Commons Atribución 4.0 Internacional.

Country
Spain
Related Organizations
Keywords

Fuzzy logic, Fuzzy logics, SoftwareTelescopes, Network, Scheduling algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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