Key Architecture Elements of a Great Observatory for Space Physics

Details Key Architecture Elements of a Great Observatory for Space Physics Key Architecture Elements of a Great Observatory for Space Physics

May 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agusmsm24a..03e&link_type=abstract

American Geophysical Union, Fall Meeting 2007, abstract #SM24A-03

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7894 Instruments And Techniques, 7899 General Or Miscellaneous, 7999 General Or Miscellaneous, 9820 Techniques Applicable In Three Or More Fields, 2799 General Or Miscellaneous

Scientific paper

Many different virtual observatories or grid systems are emerging to fulfill the growing demands of multi- spacecraft, distributed, communications-intensive, adaptive mission architectures. We have introduced the data-model-HPC-sensor rubric to clarify the relationships of such systems and to highlight the great potential for data-driven science.* Key architecture elements of a Great Observatory for space physics can then be framed within the broad categories of (1) services grid [service oriented architecture (SOA), including Web Services], (2) knowledge grid [ontology inference layer, unified schema, data mining], (3) computation grid, and (4) sensor grid [e.g., multi-node, dynamically adaptive, observing systems or "sensor webs"]. Complementing this with tools for end-to-end web-enabled publishing of and access to data, metadata, software and science results then brings the Great Observatory to every scientist's desktop both now and for the indefinite future. *Eastman, T., et al., eScience and Archiving, Data Science Journal, Vol. 4, Sept. 1, 2005, pp. 67-75.

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