EGI Conference on Challenges and Solutions for Big Data Processing on Cloud

Session

EGI-GEANT Symposium: Platforms

25 Sept 2014, 11:00

CWI Conference Centre

Conveners

EGI-GEANT Symposium: Platforms

• Nuno Ferreira (EGI.EU)

1. Hadoop analytics provisioning based on a virtual infrastructure

Ivan Alvarez (FCTSG)

25/09/2014, 11:00

More than a year ago CESGA started to provide a Big Data service based on Hadoop. The initial request for this type of service came from the LIA2 research group working in Gaia, an ambitious mission from the European Space Agency. The initial implementation of the service was based on physical resources that were allocated through advanced reservations in one of our supercomputer clusters....

24. Science SQL

Peter Baumann (Jacobs University)

25/09/2014, 11:25

SQL has been lingua franca for any-size data services in business, and has been tremendously successful in delivering flexible, scalable technology. Not so, however, in scientific and engineering environments. The main reason is data structure support: While flat tables are suitable for accounting and product catalogs, science needs substantially more complex information categories, such as...

4. The Ophidia framework: toward cloud-based big data analytics for eScience

Dr Sandro Fiore (CMCC)

25/09/2014, 11:50

In many domains such as life sciences, climate, and astrophysics, scientific data is often n-dimensional and requires tools that support specialized data types and primitives if it is to be properly stored, accessed, analyzed and visualized. The n-dimensionality of scientific datasets, and their data cube abstraction, leads to a need for On-Line Analytical Processing (OLAP)-like primitives...

18. VERCE use case and requirements

Andre Gemuend (FRAUNHOFER)

25/09/2014, 12:10

The EU-funded project VERCE (http://verce.eu/) aims to address specific seismological use-cases employing resources spanning available e-Infrastructures on the basis of requirements elicited from the seismology community. It provides a service-oriented infrastructure to deal with the challenges the researchers face while carrying out the data-intensive and high-performance computations...