Sunday 1 August 2010 by Libadmin2010

10th International Multidisciplinary Scientific GeoConference - SGEM2010, www.sgem.org, SGEM2010 Conference Proceedings/ ISBN 10: 954-91818-1-2, June 20-26, 2010, Vol. 1, 1111-1118 pp


Due to its intensive data processing and highly distributed organization, the
multidisciplinary Earth Science applications community is uniquely positioned for the
uptake and exploitation of Grid technologies. Information and Communication
Technologies have proven to be key instruments in activities targeted at protecting the
environment and its integration in sustainable development policies. Grid computing
capabilities are powerful tools to manage large volumes of Earth observation data and
provide the Earth Science community with on-demand services. One of the key
requirements faced by the earth and environmental science community is to improve
collaboration across the many geographically-distributed research groups and enable
them to share data acquired by diverse means (ground, airborne and satellite),
computational and storage resources, knowledge, experimental results. The paper aims to
focus on and distil a few key elements in order to propose a Grid development roadmap for the
ES applications community.

The Grid and emerging e-collaboration computing services are considered as powerful
new instruments, enabling and strengthening remote collaboration among researchers.
For example, a Grid-based infrastructure can permit alternative approaches to access
and exploit large data sets. Instead of traditional remote sensing data ordering and
delivery from the acquisition/storage facilities to the user sites, user specialized
processing modules could be located wherever data and computing resources are
available. Specific on-demand data products, based on the best user-defined parameters,
could then be generated or retrieved from archives and downloaded in real-time. Such
services can be available via the web to members of a virtual thematic community,
using the emerging Web Services standards.

Keywords: grid, earth science, workflow requirements, grid platform

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