Abstract

This work introduces Ophidia, a big data analytics research effort aiming at supporting the access, analysis and mining of scientific (n-dimensional array based) data. The Ophidia platform extends, in terms of both primitives and data types, current relational database system implementations (in particular MySQL) to enable efficient data analysis tasks on scientific array-based data. To enable big data analytics it exploits well-known scientific numerical libraries, a distributed and hierarchical storage model and a parallel software framework based on the Message Passing Interface to run from single tasks to more complex dataflows. The current version of the Ophidia platform is being tested on NetCDF data produced by CMCC climate scientists in the context of the international Coupled Model Intercomparison Project Phase 5 (CMIP5).

Autore Pugliese

• Aloisio Giovanni

Tutti gli autori

• Fiore S. , Palazzo C. , D'anca A. , Foster I. , Williams D.N. , Aloisio G.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2013

ISSN

Non Disponibile

ISBN

Non Disponibile

Numero di citazioni Wos

18

Ultimo Aggiornamento Citazioni

26/04/2018

Numero di citazioni Scopus

24

Ultimo Aggiornamento Citazioni

26/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile