JuxMem: An Adpative Supportive Platform for Data Sharing on the Grid

Gabriel Antoniu (1) , Luc Bougé (1) , Mathieu Jan (1)

1 PARIS - Programming distributed parallel systems for large scale numerical simulation

We address the challenge of managing large amounts of numerical data within computing grids consisting of a federation of clusters. We claim that storing, accessing, updating and sharing such data should be considered by applications as an external service. We propose a hierarchical architecture for this service, based on a peer-to-peer approach. This architecture is illustrated through a software platform called JuxMem (for Juxtaposed Memory), which provides transparent access to mutable data, while enhancing data persistence in a dynamic environment. Managing the volatility of storage resources is specially emphasized. As a proof of concept, we describe a prototype implementation on top of the JXTA peer-to-peer framework, and we report on a preliminary experimental evaluation.

Mots clés: JuxMem; data sharing; grid; peer-to-peer; hierarchical architecture; JXTA

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

Gabriel Antoniu, Luc Bougé, Mathieu Jan. JuxMem: An Adpative Supportive Platform for Data Sharing on the Grid. Workshop on Adaptive Grid Middleware (AGridM'2003), Sep 2003, New Orleans, Louisiana, United States. ⟨inria-00000978⟩