LHD: Optimising Linked Data Query Processing Using Parallelisation
作者： Thanassis Tiropanis , Hugh C. Davis , Xin Wang
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摘要: In the past few years as large volume of Linked Data has been published, and processing distributed SPARQL queries over cloud is becoming increasingly challenging. The high data trac cost response time signicantly aect performance number end point at each endpoint increase. this context, parallelisation promising to fully exploit potential connections endpoints thus improve eciency querying Data. We propose LHD, a engine that built on highly parallel infrastructure able minimise query time, we evaluate its using BSBM based environment.
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