JointConf: Jointly autotuning configuration parameters for modularized graph databases
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Software: Evolution and Process"
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
A Novel Oppositional Chaotic Flower Pollination Optimization Algorithm for Automatic Tuning of Hadoop Configuration Parameters
Sign Up to like & getrecommendations! Published in 2020 at "Big data"
DOI: 10.1089/big.2019.0111
Abstract: At present, due to the introduction of the big data era, numerous numbers of data are generated consistently. Many applications utilize big data platforms, namely Spark, Hadoop, Amazon web services, and so on, since these… read more here.
Keywords: flower pollination; optimization; configuration parameters; time ... See more keywords