Statistics – Computation
Scientific paper
Mar 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005ncimc..28..193a&link_type=abstract
Il Nuovo Cimento C, vol. 28, Issue 2, p.193
Statistics
Computation
Scientific paper
Earth Observation techniques offer many powerful instruments for Earth planet study, urban development planning, military intelligence helping and so on. Terabytes of EO and geospatial data about lands, oceans, glaciers, cities, etc. are continuously downloaded through remote-sensing infrastructures and stored into heterogeneous, distributed repositories usually belonging to different virtual organizations. A problem-solving environment can be a viable solution to handle, coordinate and share heterogeneous and distributed resources. Moreover, grid computing is an emerging technology to solve large-scale problems in dynamic, multi-institutional Virtual Organizations coordinated by sharing resources such as high-performance computers, observation devices, data and databases over high-speed networks, etc. In this paper we present the Italian Grid for Earth Observation (I-GEO) project, a pervasive environment based on grid technology to help the integration and processing of Earth Observation data, providing a tool to share and access data, applications and computational resources among several organizations.
Aloisio G.
Cafaro M.
Cartenì G.
Epicoco I.
Quarta G.
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