RDF Data Management in the Amazon Cloud

Francesca Bugiotti 1 François Goasdoué 2, 3 Zoi Kaoudi 2, 3 Ioana Manolescu 2, 3
3 OAK - Database optimizations and architectures for complex large data
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Cloud computing has been massively adopted recently in many applications for its elastic scaling and fault-tolerance. At the same time, given that the amount of available RDF data sources on the Web increases rapidly, there is a constant need for scalable RDF data management tools. In this paper we propose a novel architecture for the distributed management of RDF data, exploiting an existing commercial cloud infrastructure, namely Amazon Web Services (AWS). We study the problem of indexing RDF data stored within AWS, by using SimpleDB, a key-value store provided by AWS for small data items. The goal of the index is to efficiently identify the RDF datasets which may have answers for a given query, and route the query only to those. We devised and experimented with several indexing strategies; we discuss experimental results and avenues for future work.
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Francesca Bugiotti, François Goasdoué, Zoi Kaoudi, Ioana Manolescu. RDF Data Management in the Amazon Cloud. Workshop on Data analytics in the Cloud (DanaC 2012), Mar 2012, Berlin, Germany. ⟨hal-00670492⟩

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