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1、PARINET:ATunableAccessMethodforin-NetworkTrajectories##*##IulianSanduPopa,KarineZeitouni,VincentOria,DominiqueBarth,SandrineVial#PRiSMLaboratory,UniversityofVersailles45avenuedesEtats-Unis,F-78035,Versailles,France{Iulian.Sandu-Popa,Karine.Zeitouni,Dominique.Barth,Sandrine.Vial}@prism.uvsq.fr*NewJer
2、seyInstituteofTechnologyNewark,NJ07079,USAVincent.Oria@njit.eduAbstract—InthispaperweproposePARINET,anewaccesslargedatasets.SeveralaccessmethodssuchastheMV3R-methodtoefficientlyretrievethetrajectoriesofobjectsmovingTree[8],[17]havebeenproposedinthiscontext.Moreinnetworks.ThestructureofPARINETisbased
3、onarecently,Pelanisetal.[14]proposedanindexingtechnique+combinationofgraphpartitioningandasetofcompositeB-treeforcapturingthepositionsofmovingobjectsatallpointsinlocalindexes.PARINETisdesignedforhistoricaldataandreliestime(past,present,andanticipatedfuture).onthedistributionofthedataoverthenetworkas
4、forhistoricalFromthespatialperspective,mostMOaccessmethodsdata,thedatadistributionisknowninadvance.Becausethenetworkcanbemodeledusinggraphs,thepartitioningoftheconsiderthattheobjectsaremovingfreelyinthespace.trajectorydataisbasedongraphpartitioningtheoryandcanbeHowever,inseveralreal-lifeapplications
5、,theobjecttunedforagivenqueryload.Thedataineachpartitionismovementsareconstrained(e.g.,trainsmovingalonga+indexedonthetimecomponentusingB-trees.Westudyrailroadnetworkorvehiclesmovingalongaroadnetwork).differenttypesofqueries,andprovideanoptimalconfigurationTakingintoaccountthenetworkcanleadtospecifi
6、cmodelsforseveralscenarios.PARINETcaneasilybeintegratedintoanythatareoptimalforthedatarepresentation.Afewworks[1],RDBMS,whichisanessentialassetparticularlyforindustrialor[5],[15]proposedaccessmethodsforobjectsmovingincommercialapplications.Theexperimentalevaluationunderannetworks.Wewillpresentthemin
7、moredetailintherelatedoff-the-shelfDBMSshowsthatPARINETisrobust.Italsoworksection.significantlyoutperformsbothMON-treeandanotherR-treebasedaccessmethodwhicharethereferenceindexingtechniquesCurrentinde
