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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