Time-Series Database for Biomedical Analysis
Master thesis
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http://hdl.handle.net/11250/2564413Utgivelsesdato
2018-06-15Metadata
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Sammendrag
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.
Beskrivelse
Master's thesis in Computer science