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BigStorage: Storage-based Convergence between HPC and Cloud to handle Big Data

BigStorage: Storage-based Convergence between HPC and Cloud to handle Big Data

Objective

"The consortium of this European Training Network (ETN) ""BigStorage: Storage-based Convergence between HPC and Cloud to handle Big Data” will train future data scientists in order to enable them and us to apply holistic and interdisciplinary approaches for taking advantage of a data-overwhelmed world, which requires HPC and Cloud infrastructures with a redefinition of storage architectures underpinning them - focusing on meeting highly ambitious performance and energy usage objectives.

There has been an explosion of digital data, which is changing our knowledge about the world. This huge data collection, which cannot be managed by current data management systems, is known as Big Data. Techniques to address it are gradually combining with what has been traditionally known as High Performance Computing. Therefore, this ETN will focus on the convergence of Big Data, HPC, and Cloud data storage, ist management and analysis.

To gain value from Big Data it must be addressed from many different angles: (i) applications, which can exploit this data, (ii) middleware, operating in the cloud and HPC environments, and (iii) infrastructure, which provides the Storage, and Computing capable of handling it.

Big Data can only be effectively exploited if techniques and algorithms are available, which help to understand its content, so that it can be processed by decision-making models. This is the main goal of Data Science.

We claim that this ETN project will be the ideal means to educate new researchers on the different facets of Data Science (across storage hardware and software architectures, large-scale distributed systems, data management services, data analysis, machine learning, decision making). Such a multifaceted expertise is mandatory to enable researchers to propose appropriate answers to applications requirements, while leveraging advanced data storage solutions unifying cloud and HPC storage facilities."
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Coordinator

UNIVERSIDAD POLITECNICA DE MADRID

Address

Calle Ramiro De Maeztu 7 Edificio Rectorado
28040 Madrid

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 495 745,92

Participants (9)

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BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Spain

EU Contribution

€ 495 745,92

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 788 626,80

FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS

Greece

EU Contribution

€ 242 386,92

SEAGATE SYSTEMS UK LIMITED

United Kingdom

EU Contribution

€ 273 287,88

DEUTSCHES KLIMARECHENZENTRUM GMBH

Germany

EU Contribution

€ 249 216,48

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

France

EU Contribution

€ 262 875,60

CA TECHNOLOGIES DEVELOPMENT SPAIN SA

Spain

EU Contribution

€ 247 872,96

FUJITSU TECHNOLOGY SOLUTIONS GMBH

Germany

EU Contribution

€ 249 216,48

JOHANNES GUTENBERG-UNIVERSITAT MAINZ

Germany

EU Contribution

€ 498 432,96

Partners (3)

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IBM IRELAND LIMITED

BULL SAS

INFORMATICA EL CORTE INGLES SA

Project information

Grant agreement ID: 642963

Status

Closed project

  • Start date

    1 January 2015

  • End date

    31 December 2018

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 3 803 407,92

  • EU contribution

    € 3 803 407,92

Coordinated by:

UNIVERSIDAD POLITECNICA DE MADRID

Spain