SPARQL parallel engine

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10193347" target="_blank" >RIV/00216208:11320/13:10193347 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.ksi.mff.cuni.cz/spabo/" target="_blank" >http://www.ksi.mff.cuni.cz/spabo/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

SPARQL parallel engine

Popis výsledku v původním jazyce

Proliferation of RDF data on the Web creates a need for systems that are not only capable of querying them, but also capable of scaling efficiently with the growing size of the data. Parallelization is one of the ways of achieving this goal. There is also room for optimization in RDF processing to reduce the gap between RDF and relational data processing. SPARQL is a popular RDF query language; however current engines do not fully benefit from parallelization potential. We present a SPARQL parallel engine that makes use of the Bobox platform, which was designed to support development of data-intensive parallel computations as a powerful tool for querying RDF data stores. A key part of the solution is a SPARQL compiler and execution plan optimizer, which were tailored specifically to work with the Bobox parallel framework. Our experiments show, that such approach to RDF data processing has a potential to provide better performance than current serial engines.

Název v anglickém jazyce

SPARQL parallel engine

Popis výsledku anglicky

Proliferation of RDF data on the Web creates a need for systems that are not only capable of querying them, but also capable of scaling efficiently with the growing size of the data. Parallelization is one of the ways of achieving this goal. There is also room for optimization in RDF processing to reduce the gap between RDF and relational data processing. SPARQL is a popular RDF query language; however current engines do not fully benefit from parallelization potential. We present a SPARQL parallel engine that makes use of the Bobox platform, which was designed to support development of data-intensive parallel computations as a powerful tool for querying RDF data stores. A key part of the solution is a SPARQL compiler and execution plan optimizer, which were tailored specifically to work with the Bobox parallel framework. Our experiments show, that such approach to RDF data processing has a potential to provide better performance than current serial engines.

Druh

R - Software

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-08195S" target="_blank" >GA13-08195S: Vysoce škálovatelné paralelní a distribuované metody zpracování vědeckých dat</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Interní identifikační kód produktu

2

Technické parametry

http://www.ksi.mff.cuni.cz/spabo/

Ekonomické parametry

Vědecká nadstavba nad platformou pro paralelizaci datově intenzivních výpočtů

IČO vlastníka výsledku

00216208

Název vlastníka

Univerzita Karlova v Praze