Authors:
Iván García
;
Miguel A. Martínez-Prieto
;
Anibal Bregón
;
Pedro C. Álvarez
and
Fernando Díaz
Affiliation:
Universidad de Valladolid, Spain
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.