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Section: Partnerships and Cooperations

International Initiatives

INRIA Associate Teams

SARAVA

  • Title: Sarava: P2P data sharing for online communities

  • INRIA principal investigator: Patrick Valduriez

  • International Partner:

    • Institution: Federal University of Rio de Janeiro (Brazil)

    • Laboratory: Instituto Alberto Luiz Coimbra

  • Duration: 2009 - 2011

  • See also: http://www-sop.inria.fr/teams/zenith/pmwiki/pmwiki.php/Sarava/Sarava

  • The general problem we address in Sarava is P2P data sharing for online communities, by offering a high-level network ring across distributed data source owners. The major advantage of P2P is a completely decentralized approach to data sharing which does not require centralized administration. Users may be in high numbers and interested in different kinds of collaboration and sharing their knowledge, ideas, experiences, etc. Data sources can be in high numbers, fairly autonomous, i.e. locally owned and controlled, and highly heterogeneous with different semantics and structures. What we need then is new, decentralized data management techniques that scale up while addressing the autonomy, dynamic behavior and heterogeneity of both users and data sources. In this context, we focus on two major problems: query processing with uncertain data and management of scientific workflows.

INRIA International Partners

We have regular scientific relationships with research laboratories in

  • North America: Univ. of Waterloo (Tamer Özsu), McGill University (Bettina Kemme), Univ. of California, Santa Barbara (Divy Agrawal, Amr El Abbadi).

  • Europe: Univ. of Madrid (Ricardo Jimenez-Periz).

Visits of International Scientists

Prof. Amr El Abbadi (UCSB) gave a seminar at LIRMM on cloud data management.

Participation In International Programs

We are involved in the following international actions:

  • the CNPq-INRIA project DatLuge (Data & Task Management in Large Scale) with UFRJ (Marta Mattoso, Vanessa Braganholo, Alexandre Lima), LNCC, Rio de Janeiro (Fabio Porto), and UFPR, Curitiba (Eduardo Almeida) to work on large scale scientifc workflows;

  • the PICASSO project Scaling GraphDB, with UPC, Barcelona ((Josep Lluis Larriba Pey and Victor Muntes Mulero) to work on very large graph database support.

  • FAPERJ-INRIA project SwfP2Pcloud (Data-centric workflow management in hybrid P2P clouds, 2011-2013) with UFRJ (Marta Mattoso, Vanessa Braganholo, Alexandre Lima) and LNCC, Rio de Janeiro (Fabio Porto) to work on large scale scientific workflows in hybrid P2P clouds.

  • EGIDE Osmoze project SECC (SErvices for Curricula Comparison, 2011-2012), with Riga Technical University (Janis Grundspenkis, Marité Kirikova) to work on automatic analysis and mapping of conceptual trees and maps acquired from digital documents.