RSPLab: RDF Stream Processing Benchmarking Made Easy
نویسندگان
چکیده
In Stream Reasoning (SR), empirical research on RDF Stream Processing (RSP) is attracting a growing attention. The SR community proposed methodologies and benchmarks to investigate the RSP solution space and improve existing approaches. In this paper, we present RSPLab, an infrastructure that reduces the effort required to design and execute reproducible experiments as well as share their results. RSPLab integrates two existing RSP benchmarks (LSBench and CityBench) and two RSP engines (C-SPARQL engine and CQELS). It provides a programmatic environment to: deploy in the cloud RDF Streams and RSP engines, interact with them using TripleWave and RSP Services, and continuously monitor their performances and collect statistics. RSPLab is released as open-source under an Apache 2.0 license.
منابع مشابه
Stressless RSP Benchmarking With RSPLab
RSPLab is an infrastructure that reduces the effort required to design and execute reproducible experiments as well as share their results. It provides a programmatic environment to deploy RDF Streams and RSP engines, interact with them and continuously monitor their performances and collect statistics. In this demo well show how to deploy RDFStream and RSP engines in the cloud and how to inter...
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