On the Use of In-memory Analytics Workflows to Compute eScience Indicators from Large Climate Datasets

D’Anca, Alessandro; Palazzo, Cosimo; Elia, Donatello; Fiore, Sandro; Bistinas, Ioannis; Böttcher, Kristin; Bennett, Victoria; Aloisio, Giovanni

doi:10.1109/ccgrid.2017.132

Public

On the Use of In-memory Analytics Workflows to Compute eScience Indicators from Large Climate Datasets

Published • May 1, 2017

Authors:

Alessandro D’Anca

Cosimo Palazzo

Donatello Elia

Abstract

The need to apply complex algorithms on large volumes of data is boosting the development of technological solutions able to satisfy big data analytics needs in Cloud and HPC environments. In this context Ophidia represents a big data analytics framework for eScience offering a cross-domain solution...

Subject

Workflow

Computer science

Data science

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!