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[FKB17] DRSS: Distributed RDF SPARQL Streaming
Conférence Internationale avec comité de lecture : SERA 2017, June 2017, pp.10, London, UK,Mots clés: RDF graphs streams
Résumé:
In this work, we present DRSS, a distributed and
scalable engine for RDF streams processing. DRSS proposes a
new query syntax for continuous querying of RDF data streams.
The system includes among others three efficient algorithms
for (1) rewriting continuous queries sharing common substructures
(2), SPARQL query partitioning across multiple
computer nodes according to an efficient distribution strategy
and (3) query-based data distribution for local processing of
sub-queries minimizing data exchanged across nodes. Our system
combines both real-time data from multiple sources and stored
RDF processing. DRSS and its all algorithms are implemented
using the real-time data processing platform Storm Framework,
which provides parallelization mechanisms of query operators.
The DRSS evaluation is conducted on a real dataset containing
up to 1 million RDF graphs. Experiments and obtained results
confirm the scalability and the effectiveness of our system.
BibTeX
| @inproceedings { | |||
| FKB17, | |||
| title | = | "{DRSS: Distributed RDF SPARQL Streaming}", | |
| author | = | " A. Fall Dia and Z. Kasi-Aoul and A. Boly and E. Metais ", | |
| booktitle | = | "{SERA 2017}", | |
| year | = | 2017, | |
| month | = | "June", | |
| pages | = | "10", | |
| address | = | "London, UK", | |
| } | |||
