dc.contributor.author | Fransson, Andreas | |
dc.contributor.author | Johansson, Johan | |
dc.date.accessioned | 2019-11-12T09:46:23Z | |
dc.date.available | 2019-11-12T09:46:23Z | |
dc.date.issued | 2019-11-12 | |
dc.identifier.uri | http://hdl.handle.net/2077/62434 | |
dc.description.abstract | With the growing need of instant or
almost instant processing and retrieval when working on large
data-sets we ask ourselves the following question “What impact
would switching from a conventional CPU database to a GPU
accelerated database have on emergency systems using large
geospatial data-sets”. [Methodology] We chose to use Design
Science and more specifically the method called optimization.
[Motivation for the study] We observed a knowledge gap in the
field of geospatial analysis regarding use cases associated with
emergency systems and with new technological advances both
in software and hardware there is a need to reevaluate current
systems. [Test results] The result displays that GPU accelerated
databases and SPARK databases do not increase the efficiency of
processing and retrieving of large geospatial data. [Discussion]
Even if we expected the GPU accelerated database to perform
better than the standard CPU database we could not see any
benefit from switching to a GPU accelerated database or SPARK
database. [Conclusion] Our tool we created did enable us to
take more informed decisions when making decisions on what
database is best for our use case, we did, however, conclude
that there is no benefit for us to switch to a SPARK or GPU
accelerated database. [Future work] We found several things that
would benefit further research in our area, Both in technology
and scale. | sv |
dc.language.iso | eng | sv |
dc.subject | Accelerated database | sv |
dc.subject | SPA RK database | sv |
dc.subject | Windows SQL Server | sv |
dc.subject | Geospatial Data | sv |
dc.subject | Emergency Systems | sv |
dc.title | Accelerating geospatial database services with Graphical Processing Units | sv |
dc.type | text | |
dc.setspec.uppsok | Technology | |
dc.type.uppsok | M2 | |
dc.contributor.department | Göteborgs universitet/Institutionen för data- och informationsteknik | swe |
dc.contributor.department | University of Gothenburg/Department of Computer Science and Engineering | eng |
dc.type.degree | Student essay | |