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|Title:||Big Data challenges in building the Global Earth Observation System of Systems|
|Authors:||NATIVI Stefano; MAZZETTI Paolo; SANTORO Mattia; PAPESCHI Fabrizio; CRAGLIA Massimo; OCHAI Osamu|
|Citation:||ENVIRONMENTAL MODELLING & SOFTWARE vol. 68 p. 1-26|
|Publisher:||ELSEVIER SCI LTD|
|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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