Section: Partnerships and Cooperations

International Initiatives

Inria Associate Teams

MUSIC

Title: MUltiSite Cloud (MUSIC) data management

Inria principal investigator: Esther Pacitti

International Partner):

• Laboratorio Nacional de Computaçao Cientifica, Petropolis (Brazil) - Fabio Porto

• Universidade Federal do Rio de Janeiro (Brazil) - Alvaro Coutinho and Marta Mattoso

• Universidade Federal Fluminense, Niteroi (Brazil) - Daniel Oliveira

• Centro Federal de Educa cao Tecnologica, Rio de Janeiro (Brazil) - Eduardo Ogasawara

Duration: 2014 - 2016

See also: https://team.inria.fr/zenith/projects/international-projects/music/

The cloud has become a good match for managing big data since it provides unlimited computing, storage and network resources on demand. By centralizing all data in a large-scale data-center, the cloud significantly simplifies the task of system administration. But for scientific data, where different organizations may have their own data-centers, a distributed (multisite) cloud model where each site is visible from outside, is needed. The main objective of this research and scientific collaboration is to develop a multisite cloud architecture for managing and analyzing scientific data, including support for heterogeneous data; distributed scientific workflows, and complex big data analysis. The resulting architecture will enable scalable data management infrastructures that can be used to host a variety of scientific applications that benefit from computing, storage, and networking resources that span multiple data-centers.

BIGDATANET

Title: A hybrid P2P/cloud for big data

Inria principal investigator: Patrick Valduriez

International Partner : University of California at Santa Barbara (USA) - Amr El Abbadi and Divy Agrawal Duration: 2013 - 2015

See also: https://team.inria.fr/zenith/projects/international-projects/bigdatanet/

The main objective of this research and scientific collaboration is to develop a hybrid architecture of a computational platform that leverages the cloud computing and the P2P computing paradigms. The resulting architecture will enable scalable data management and data analysis infrastructures that can be used to host a variety of next-generation applications that benefit from computing, storage, and networking resources that exist not only at the network core (i.e., data-centers) but also at the network edge (i.e., machines at the user level as well as machines available in CDNs – content distribution networks hosted in ISPs).

Inria International Partners

Informal International Partners

We have regular scientific relationships with research laboratories in

• North America: Univ. of Waterloo (Tamer Özsu).

• Asia: National Univ. of Singapore (Beng Chin Ooi, Stéphane Bressan), Wonkwang University, Korea (Kwangjin Park)

• Europe: Univ. of Amsterdam (Hamideh Afsarmanesh), Univ. of Madrid (Ricardo Jiménez-Periz), UPC Barcelona (Josep Lluis Larriba Pey), HES-SO (Henning Müller), University of Catania (Concetto Spampinatto), The Open University (Stefan Rüger)

• North Africa: Univ. of Tunis (Sadok Ben-Yahia)

Inria International Labs

The Bigdatanet associated team takes part of the Inria@SiliconValley lab.

Participation In other International Programs

We are involved in the following international actions:

• CNPq-Inria project Hoscar (HPC and data management, 2012-2015) with LNCC (Fabio Porto), UFC, UFRGS (Philippe Navaux), UFRJ (Alvaro Coutinho, Marta Mattoso) to work on data management in high performance computing environments.