GDS: An Architecture Proposal for a grid Data-Sharing Service

Gabriel Antoniu (1) , Luc Bougé (1) , Mathieu Jan (1) , Sébastien Monnet (1) , Marin Bertier (2) , Eddy Caron (3) , Frédéric Desprez (3) , Pierre Sens (4)

1 PARIS - Programming distributed parallel systems for large scale numerical simulation
2 GRAND-LARGE - Global parallel and distributed computing
3 GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms
4 Regal - Large-Scale Distributed Systems and Applications

Grid computing has recently emerged as a response to the growing demand for resources (processing power, storage, etc.) exhibited by scientific applications. We address the challenge of sharing large amounts of data on such infrastructures, typically consisting of a federation of node clusters. We claim that storing, accessing, updating and sharing such data should be considered by applications as an external service. We propose an architecture for such a service, whose goal is to provide transparent access to mutable data, while enhancing data persistence and consistency despite node disconnections or failures. Our approach leverages on weaving together previous results in the areas of distributed shared memory systems, peer-to-peer systems, and fault-tolerant systems.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Gabriel Antoniu, Luc Bougé, Mathieu Jan, Sébastien Monnet, Marin Bertier, et al.. GDS: An Architecture Proposal for a grid Data-Sharing Service. Workshop on Future Generation Grids, Nov 2004, Dagstuhl, Germany. pp.133-152, ⟨10.1007/978-0-387-29445-2_8⟩. ⟨inria-00000983⟩