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)

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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.: | ![]() |
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