Title: Big Data challenges in building the Global Earth Observation System of Systems
Authors: NATIVI StefanoMAZZETTI PaoloSANTORO MattiaPAPESCHI FabrizioCRAGLIA MassimoOCHAI Osamu
Citation: ENVIRONMENTAL MODELLING & SOFTWARE vol. 68 p. 1-26
Publisher: ELSEVIER SCI LTD
Publication Year: 2015
JRC N°: JRC103980
ISSN: 1364-8152
URI: http://www.sciencedirect.com/science/article/pii/S1364815215000481
http://publications.jrc.ec.europa.eu/repository/handle/JRC103980
DOI: 10.1016/j.envsoft.2015.01.017
Type: Articles in periodicals and books
Abstract: 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.
JRC Directorate:Growth and Innovation

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