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Peer-to-Peer Metadata Management for Knowledge Discovery Applications in Grids

Gabriel Antoniu 1 Antonio Congiusta 2 Sébastien Monnet 1, 2 Domenico Talia 2 Paolo Trunfio 2 
1 PARIS - Programming distributed parallel systems for large scale numerical simulation
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : Computational Grids are powerful platforms gathering computational power and storage space from thousands of geographically distributed resources. The applications running on such platforms need to efficiently and reliably access the various and heterogeneous distributed resources they offer. This can be achieved by using metadata information describing all available resources. It is therefore crucial to provide efficient metadata management architectures and frameworks. In this paper we describe the design of a Grid metadata management service. We focus on a particular use case: the Knowledge Grid architecture which provides high-level Grid services for distributed knowledge discovery applications. Taking advantage of an existing Grid data-sharing service, namely JuxMem, the proposed solution lies at the border between peer-to-peer systems and Web services.
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Submitted on : Sunday, January 17, 2010 - 12:06:01 AM
Last modification on : Friday, February 4, 2022 - 3:22:07 AM


  • HAL Id : inria-00447932, version 1


Gabriel Antoniu, Antonio Congiusta, Sébastien Monnet, Domenico Talia, Paolo Trunfio. Peer-to-Peer Metadata Management for Knowledge Discovery Applications in Grids. CoreGRID Workshop on Grid Middleware, Jun 2007, Dresden, Germany. ⟨inria-00447932⟩



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