Big Data challenges in building the Global Earth Observation System of Systems
There are many expectations and concerns about Big Data in the sector of Earth Observation. It is
necessary to understand whether Big Data is a radical shift or an incremental change for the existing
digital infrastructures. This manuscript explores the impact of Big Data dimensionalities (commonly
known as ‘V’ axes: volume, variety, velocity, veracity, visualization) on the Global Earth Observation
System of Systems (GEOSS) and particularly its common digital infrastructure (i.e. the GEOSS Common
Infrastructure). GEOSS is a global and flexible network of content providers allowing decision makers to
access an extraordinary range of data and information. GEOSS is a pioneering framework for global and
multidisciplinary data sharing in the EO realm. The manuscript introduces and discusses the general
GEOSS strategies to address Big Data challenges, focusing on the cloud-based discovery and access solutions.
A final section reports the results of the scalability and flexibility performance tests.
NATIVI Stefano;
MAZZETTI Paolo;
SANTORO Mattia;
PAPESCHI Fabrizio;
CRAGLIA Massimo;
OCHAI Osamu;
2016-12-15
ELSEVIER SCI LTD
JRC103980
1364-8152,
http://www.sciencedirect.com/science/article/pii/S1364815215000481,
https://publications.jrc.ec.europa.eu/repository/handle/JRC103980,
10.1016/j.envsoft.2015.01.017,
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