Massive data sets explored in many e-science communities, as in the Astrophysics case, are gathered by a very large number of techniques and stored in very diversified and often-incompatible data repositories. Moreover, we need to integrate services across distributed, heterogeneous, dynamic virtual organizations formed from the different resources within a single enterprise and/or from external resource sharing and service provider relationships. The DAME project aims at creating a distributed e-infrastructure to guarantee integrated and asynchronous access to data collected by very different experiments and scientific communities in order to correlate them and improve their scientific usability. The project consists of a data mining framework with powerful software instruments capable to work on massive data sets, organized by following Virtual Observatory standards, in a distributed computing environment. The integration process can be technically challenging because of the need to achieve a specific quality of service when running on top of different native platforms. In these terms, the result of the DAME project effort is a service-oriented architecture, by using appropriate standards and incorporating Cloud/Grid paradigms and Web services, that will have as main target the integration of interdisciplinary distributed systems within and across organizational domains.

Dame: A distributed web based framework for knowledge discovery in databases

Brescia, M.;Longo G.;Cavuoti, S.;D'Abrusco, R.;
2012

Abstract

Massive data sets explored in many e-science communities, as in the Astrophysics case, are gathered by a very large number of techniques and stored in very diversified and often-incompatible data repositories. Moreover, we need to integrate services across distributed, heterogeneous, dynamic virtual organizations formed from the different resources within a single enterprise and/or from external resource sharing and service provider relationships. The DAME project aims at creating a distributed e-infrastructure to guarantee integrated and asynchronous access to data collected by very different experiments and scientific communities in order to correlate them and improve their scientific usability. The project consists of a data mining framework with powerful software instruments capable to work on massive data sets, organized by following Virtual Observatory standards, in a distributed computing environment. The integration process can be technically challenging because of the need to achieve a specific quality of service when running on top of different native platforms. In these terms, the result of the DAME project effort is a service-oriented architecture, by using appropriate standards and incorporating Cloud/Grid paradigms and Web services, that will have as main target the integration of interdisciplinary distributed systems within and across organizational domains.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/677580
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