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DiploCloud: Efficient and Scalable
Management of RDF Data in the Cloud
  • DiploCloud: Efficient and Scalable
Management of RDF Data in the Cloud

DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud

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DiploCloud: Efficient Scalable Management  RDF Data Cloud

Despite of recent advances in distributed RDF data management, processing large-amounts of RDF data in the cloud is still very challenging. RDF is a simple data model. RDF actually encodes rich and complex graphs mixing both instance and schema-level data. Sharding such data using classical techniques or partitioning the graph using traditional min-cut algorithms leads to very inefficient distributed operations and to a high number of joins.DiploCloud: Efficient Scaleable Management  RDF Data Cloud

The proposed system describes DiploCloud, an efficient and scalable distributed RDF data management system for the cloud.

DiploCloud runs a physiological analysis of both instance and schema information prior to partitioning the data. The proposed system describes the architecture of DiploCloud, its main data structures, as well as the new algorithms which is used to partition and distribute data.DiploCloud: Efficient Scaleable Management  RDF Data Cloud

The proposed system also presents an extensive evaluation of DiploCloud showing that our system is often two orders of magnitude faster than state-of-the-art systems on standard workloads.

 

 

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