Using Grids for Exploiting the Abundance of Data in Science (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Using Grids for Exploiting the Abundance of Data in Science (Articolo in rivista) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Alternative label

• Eugenio Cesario; Domenico Talia (2010)
  Using Grids for Exploiting the Abundance of Data in Science
  in Scalable Computing. Practice and Experience
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Eugenio Cesario; Domenico Talia (literal)

Pagina inizio

• 251 (literal)

Pagina fine

• 262 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 11 (literal)

Rivista

• Scalable Computing. Practice and Experience (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 12 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 3 (literal)

Note

• DBLP (literal)
• Google Scholar (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ICAR-CNR; ICAR-CNR (literal)

Titolo

• Using Grids for Exploiting the Abundance of Data in Science (literal)

Abstract

• Digital data volumes are growing exponentially in all sciences. To handle this abundance in data availability, scientists must use data analysis techniques in their scientific practices and solving environments to get the benefits coming from knowledge that can be extracted from large data sources. When data is maintained over geographically remote sites the computational power of distributed and parallel systems can be exploited for knowledge discovery in scientific data. In this scenario the Grid can provide an effective computational support for distributed knowledge discovery on large datasets. In particular, Grid services for data integration and analysis can represent a primary component for e-science applications involving distributed massive and complex data sets. This paper describes some research activities in data-intensive Grid computing. In particular we discuss the use of data mining models and services on Grid systems for the analysis of large data repositories. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)
• Sistemi distribuiti e pervasivi intelligenti (ICT.P09.001.001) (Modulo)

Autore CNR

• DOMENICO TALIA (Persona)
• EUGENIO CESARIO (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Using Grids for Exploiting the Abundance of Data in Science" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Sistemi distribuiti e pervasivi intelligenti (ICT.P09.001.001) (Modulo)

Autore CNR di

• EUGENIO CESARIO (Unità di personale interno)
• DOMENICO TALIA (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Scalable Computing. Practice and Experience (Rivista)

Insieme di parole chiave di

• Keywords of "Using Grids for Exploiting the Abundance of Data in Science" (Insieme di parole chiave)