A Big Data Analytics Framework for Scientific Data Management

Posted: 5 Sep 2014

See all articles by Fiore Sandro

Fiore Sandro

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici

Alessandro D'Anca

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici

Paola Nassisi

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici

Aloisio Giovanni

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici

Date Written: December 2013

Abstract

The Ophidia project is a research effort addressing big data analytics requirements, issues, and challenges for eScience. We present here the Ophidia analytics framework, which is responsible for atomically processing, transforming and manipulating array-based data. This framework provides a common way to run on large clusters analytics tasks applied to big datasets. The document highlights the design principles, algorithm, and most relevant implementation aspects of the Ophidia analytics framework. Some experimental results, related to a couple of data analytics operators in a real cluster environment, are also presented.

Keywords: big data, data analytics, parallel I/O, eScience

Suggested Citation

Sandro, Fiore and D'Anca, Alessandro and Nassisi, Paola and Giovanni, Aloisio, A Big Data Analytics Framework for Scientific Data Management (December 2013). CMCC Research Paper No. 194, Available at SSRN: https://ssrn.com/abstract=2491500

Fiore Sandro (Contact Author)

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici ( email )

via Augusto Imperatore, 16
Lecce, I-73100
Italy

Alessandro D'Anca

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici ( email )

via Augusto Imperatore, 16
Lecce, I-73100
Italy

Paola Nassisi

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici ( email )

via Augusto Imperatore, 16
Lecce, I-73100
Italy

Aloisio Giovanni

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici ( email )

via Augusto Imperatore, 16
Lecce, I-73100
Italy

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