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dc.contributor.authorBløtekjær, Roger
dc.date.accessioned2018-09-21T22:00:46Z
dc.date.available2018-09-21T22:00:46Z
dc.date.issued2018
dc.identifier.citationBløtekjær, Roger. Performance tuning Apache Drill on Hadoop Clusters with Evolutionary Algorithms. Master thesis, University of Oslo, 2018
dc.identifier.urihttp://hdl.handle.net/10852/64907
dc.description.abstractThe goal for this thesis is to optimize an SQL Engine called Apache Drill that sits on top of a distributed file system, for more cost-effective big data handling, business intelligence and advanced analytics. To achieve this goal the evolutionary algorithm SIILCK was developed.eng
dc.language.isoeng
dc.subjectPBIL
dc.subjectHadoop
dc.subjectHDFS
dc.subjectSIILCK
dc.subjectperfomance tuning
dc.subjectGA
dc.subjectApache Drill
dc.subjectautonomous
dc.subjectbig data
dc.titlePerformance tuning Apache Drill on Hadoop Clusters with Evolutionary Algorithmseng
dc.typeMaster thesis
dc.date.updated2018-09-21T22:00:46Z
dc.creator.authorBløtekjær, Roger
dc.identifier.urnURN:NBN:no-67430
dc.type.documentMasteroppgave
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/64907/5/main.pdf


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