loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Iván García ; Miguel A. Martínez-Prieto ; Anibal Bregón ; Pedro C. Álvarez and Fernando Díaz

Affiliation: Universidad de Valladolid, Spain

ISBN: 978-989-758-255-4

ISSN: 2184-285X

Keyword(s): Data Lake, ADS-B, Big Data, Flight Analytics, Hadoop.

Related Ontology Subjects/Areas/Topics: Big Data ; Data Engineering ; Data Management and Quality

Abstract: The dramatic growth in the air traffic levels witnessed during the last two decades has increased the interest for optimizing the Air Traffic Management (ATM) systems. The main objective is being able to cope with the sustained air traffic growth under safe, economic, efficient and environmental friendly working conditions. The ADS-B (Automatic Dependent Surveillance - Broadcast) system is part of the new air traffic control systems, since it allows to substitute the secondary radar with cheaper ground stations that, at the same time, provide more accurate real-time positioning information. However, this system generates a large volume of data that, when combined with other flight-related data, such as flight plans or weather reports, faces scalability issues. This paper introduces an (on-going) Data Lake based architecture which allows the full ADS-B data life-cycle to be supported in a scalable and cost-effective way using technologies from the Apache Hadoop ecosystem.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.187.106

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
García, I.; Martínez-Prieto, M.; Bregón, A.; Álvarez, P. and Díaz, F. (2017). Towards a Scalable Architecture for Flight Data Management.In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-255-4, ISSN 2184-285X, pages 263-268. DOI: 10.5220/0006473402630268

@conference{data17,
author={Iván García. and Miguel A. Martínez{-}Prieto. and Anibal Bregón. and Pedro C. Álvarez. and Fernando Díaz.},
title={Towards a Scalable Architecture for Flight Data Management},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2017},
pages={263-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006473402630268},
isbn={978-989-758-255-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Towards a Scalable Architecture for Flight Data Management
SN - 978-989-758-255-4
AU - García, I.
AU - Martínez-Prieto, M.
AU - Bregón, A.
AU - Álvarez, P.
AU - Díaz, F.
PY - 2017
SP - 263
EP - 268
DO - 10.5220/0006473402630268

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.