JointConf: Jointly autotuning configuration parameters for modularized graph databases
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DOI: 10.1002/smr.2495
Abstract: To support different application scenarios, graph databases (GDBs) usually provide a large number of performance‐related parameters for developers. Since manually configuring is both time‐consuming and cost‐intensive, automatically tuning configurations parameters to achieve a better performance… read more here.
Keywords: jointly autotuning; graph databases; graph; configuration parameters ... See more keywords