Computer Science – Information Retrieval
Scientific paper
Jun 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009ap%26ss.321..169h&link_type=abstract
Astrophysics and Space Science, Volume 321, Issue 3-4, pp. 169-175
Computer Science
Information Retrieval
Data Distribution, Information Retrieval, Publisher/Subscriber
Scientific paper
Institutions such as NASA, ESA or JAXA find solutions to distribute data from their missions to the scientific community, and their long term archives. This is a complex problem, as it includes a vast amount of data, several geographically distributed archives, heterogeneous architectures with heterogeneous networks, and users spread around the world. We propose a novel architecture that solves this problem aiming to fulfill the requirements of the final user. Our architecture is a modular system that provides a highly efficient parallel multiprotocol download engine, using a publisher/subscriber policy which helps the final user to obtain data of interest transparently. We have evaluated a first prototype, in collaboration with the ESAC centre in Villafranca del Castillo (Spain) that shows a high scalability and performance, opening a wide spectrum of opportunities.
Carretero Jesús
de La Fuente Antonio
Felix Fernando
Higuero Daniel
Tirado Juan M.
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