dc.contributor.author | Bløtekjær, Roger | |
dc.date.accessioned | 2018-09-21T22:00:46Z | |
dc.date.available | 2018-09-21T22:00:46Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Bløtekjær, Roger. Performance tuning Apache Drill on Hadoop Clusters with Evolutionary Algorithms. Master thesis, University of Oslo, 2018 | |
dc.identifier.uri | http://hdl.handle.net/10852/64907 | |
dc.description.abstract | The 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.iso | eng | |
dc.subject | PBIL | |
dc.subject | Hadoop | |
dc.subject | HDFS | |
dc.subject | SIILCK | |
dc.subject | perfomance tuning | |
dc.subject | GA | |
dc.subject | Apache Drill | |
dc.subject | autonomous | |
dc.subject | big data | |
dc.title | Performance tuning Apache Drill on Hadoop Clusters with Evolutionary Algorithms | eng |
dc.type | Master thesis | |
dc.date.updated | 2018-09-21T22:00:46Z | |
dc.creator.author | Bløtekjær, Roger | |
dc.identifier.urn | URN:NBN:no-67430 | |
dc.type.document | Masteroppgave | |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/64907/5/main.pdf | |