Wang, Frank Z. (2014) A Map-Reduce-enabledSOLAPcubeforlarge-scaleremotelysensed data aggregation. Computers & Geosciences, 70 (09). pp. 110-119. ISSN 0098-3004. (doi:10.1016/j.cageo.2014.05.008) (KAR id:69679)
|
PDF
Publisher pdf
Language: English |
|
|
Download (1MB)
|
![[thumbnail of MapReduceData.pdf]](https://kar.kent.ac.uk/style/images/fileicons/application_pdf.png) |
|
This file may not be suitable for users of assistive technology.
Request an accessible format
|
|
| Official URL: https://www.sciencedirect.com/science/article/pii/... |
|
Abstract
Spatial On-LineAnalyticalProcessing(SOLAP)isapowerfuldecisionsupportsystemstoolforexploring
the multidimensionalperspectiveofspatialdata.Inrecentyears,remotelysenseddatahavebeen
integratedintoSOLAPcubes,andthisimprovementhasadvantagesinspatio-temporalanalysisfor
environmentmonitoring.However,theperformanceofaggregationsinSOLAPstillfacesaconsiderable
challenge fromthelarge-scaledatasetgeneratedbyEarthobservation.Fromtheperspectiveofdata
parallelism, atile-basedSOLAPcubemodel,theso-calledTileCube,ispresentedinthispaper.Thenovel
model implementsRoll-Up/Drill-AcrossoperationsintheSOLAPenvironmentbasedonMap-Reduce,a
popular data-intensivecomputingparadigm,andimprovesthethroughputandscalabilityofraster
aggregation. Therefore,thelongtime-series,wide-rangeandmulti-viewanalysisofremotelysensed
data canbeprocessedinashorttime.TheTileCubeprototypewasbuiltonHadoop/Hbase,anddrought
monitoring isusedasanexampletoillustratetheaggregationsinthemodel.Theperformancetesting
indicated themodelcanbescaledalongwithboththedatagrowthandnodegrowth.Itisapplicableand
natural tointegratetheSOLAPcubewithMap-Reduce.Factorsthatinfluence theperformancearealso
discussed, andthebalanceofthemwillbeconsideredinfutureworkstomakefulluseofdatalocalityfor
model optimisation.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1016/j.cageo.2014.05.008 |
| Uncontrolled keywords: | SOLAP, Spatio-temporal cube, Data-intensive computing, Cyber GIS, Environment monitoring |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| Depositing User: | Frank Wang |
| Date Deposited: | 19 Oct 2018 09:50 UTC |
| Last Modified: | 09 Dec 2022 03:57 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/69679 (The current URI for this page, for reference purposes) |
| Wang, Frank Z.: |  https://orcid.org/0000-0003-4378-2172 |
Available versions of this item
- A Map-Reduce-enabledSOLAPcubeforlarge-scaleremotelysensed data aggregation. (deposited 19 Oct 2018 09:50) [Currently Displayed]
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):
Altmetric
Altmetric
