dc.contributor.author | Pettersen, Jonatan | |
dc.date.accessioned | 2018-09-25T12:53:33Z | |
dc.date.available | 2018-09-25T12:53:33Z | |
dc.date.issued | 2018-06-15 | |
dc.identifier.uri | http://hdl.handle.net/11250/2564413 | |
dc.description | Master's thesis in Computer science | nb_NO |
dc.description.abstract | The goal of this thesis is to make a time-series database for biomedical analysis and
compare this to an earlier relational database. The system was defined in a previous
bachelor task, however, with a relational database as the core. In addition, we extended
the system functionality to make use of time-series specific functions.
We decided to use InfluxDB for our implementation, and the web application is hosted
by a custom made web server implemented in Go. The time-series we are handling are
processed data collected from automated external defibrillators (AEDs).
The relational and time-series database systems are compared through a suite of
benchmarks. The benchmark suites consists of testing the basic information retrieval,
retrieving incidents based on user-specified criteria, and the time-series extensions. The
results suggest that the relational database, in most cases, outperforms the time-series
database in terms of speed, while the time-series database has far greater ease-of-use when
it comes to time-series related queries.
We suggest that a future system would employ both structures, to retain the best
qualities of both the time-series and the relational structure. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | University of Stavanger, Norway | nb_NO |
dc.relation.ispartofseries | Masteroppgave/UIS-TN-IDE/2018; | |
dc.rights | Navngivelse-Ikkekommersiell 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/deed.no | * |
dc.subject | InfluxDB | nb_NO |
dc.subject | informasjonsteknologi | nb_NO |
dc.subject | datateknikk | nb_NO |
dc.subject | structured query language | nb_NO |
dc.subject | relational database | nb_NO |
dc.subject | time-series database | nb_NO |
dc.title | Time-Series Database for Biomedical Analysis | nb_NO |
dc.type | Master thesis | nb_NO |
dc.subject.nsi | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551 | nb_NO |