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The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community | | M. Brescia
; A. Corazza
; S. Cavuoti
; G. d'Angelo
; R. D'Abrusco
; C. Donalek
; S. G. Djorgovski
; N. Deniskina
; M. Fiore
; M. Garofalo
; O. Laurino
; G. Longo A. Mahabal
; F. Manna
; A. Nocella
; B. Skordovski
; | | Date: |
4 Dec 2011 | | Abstract: | Astronomical data are gathered through a very large number of heterogeneous
techniques and stored in very diversified and often incompatible data
repositories. Moreover in the e-science environment, it is needed to integrate
services across distributed, heterogeneous, dynamic "virtual organizations"
formed by different resources within a single enterprise and/or external
resource sharing and service provider relationships. The DAME/VONeural project,
run jointly by the University Federico II, INAF (National Institute of
Astrophysics) Astronomical Observatories of Napoli and the California Institute
of Technology, aims at creating a single, sustainable, distributed
e-infrastructure for data mining and exploration in massive data sets, to be
offered to the astronomical (but not only) community as a web application. The
framework makes use of distributed computing environments (e.g. S.Co.P.E.) and
matches the international IVOA standards and requirements. The integration
process is technically challenging due to the need of achieving a specific
quality of service when running on top of different native platforms. In these
terms, the result of the DAME/VO-Neural project effort will be a
service-oriented architecture, obtained by using appropriate standards and
incorporating Grid paradigms and restful Web services frameworks where needed,
that will have as main target the integration of interdisciplinary distributed
systems within and across organizational domains. | | Source: | arXiv, 1112.0742 | | Services: | Forum | Review | PDF | Favorites | |
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