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Big Data challenges in building the Global Earth Observation System of Systems.
- Source :
-
Environmental Modelling & Software . Jun2015, Vol. 68, p1-26. 26p. - Publication Year :
- 2015
-
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 āVā 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13648152
- Volume :
- 68
- Database :
- Academic Search Index
- Journal :
- Environmental Modelling & Software
- Publication Type :
- Academic Journal
- Accession number :
- 101927466
- Full Text :
- https://doi.org/10.1016/j.envsoft.2015.01.017