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1、ProceedingsoftheInternationalconferenceonComputingTechnologyandInformationManagement,Dubai,UAE,2014MUSYOP:TowardsaQueryOptimizationforHeterogeneousDistributedDatabaseSysteminEnergyDataManagement111112ZhanLiu,FabianCretton,AnneLeCalvé,NicoleGlassey,AlexandreCottingandFabriceChap
2、uis1InstituteofBusinessInformationSystemsUniversityofAppliedSciencesandArtsWesternSwitzerland,Sierre,Switzerland{zhan.liu,fabian.cretton,anne.lecalve,nicole.glassey,alexandre.cotting}@hevs.ch2InstituteofBusinessInformationSystemsUniversityofAppliedSciencesWesternSwitzerland,Neu
3、chatel,Switzerlandfabrice.chapuis@he-arc.chABSTRACTinonesingleunifiedandintegrateddatabase.Rather,databasesarenon-integrated,distributedTheintegrationofdatafrommultipledistributedandandheterogeneous[1].Thisisespeciallyevidentheterogeneoussourceshaslongbeenanimportantinthecontex
4、tofanenergydatabasemanagementissueininformationsystemresearch.Inthisstudy,wesystemthatnotonlyrequiresstorageofmassiveconsideredthequeryaccessanditsoptimizationinamountsofinformationeveryday,butalsoneedssuchanintegrationscenariointhecontextofenergytobeintegratedwithexistingdataa
5、pplicationsmanagementbyusingSPARQL.Specifically,weliketemperaturemanagementsystemsandaprovidedafederatedapproach-amediatorserver-thatgeographicinformationsystem.allowsuserstoqueryaccesstomultipleheterogeneousdatasources,includingfourtypicaltypesofdatabasesToday’scomplexandincre
6、asinglyglobalizedinenergydataresources:relationaldatabaseworldwhichhasencouragedwavesofmergersTriplestore,NoSQLdatabase,andXML.AMUSYOPandacquisitions,presentsnewdifficultiesforarchitecturebasedonthisapproachisthenpresentedcompaniesastheyhavetocontinuetohandlehugeandoursolutionc
7、anrealizetheprocessdataamountsofcomplexanddisparateinformationacquisitionandintegrationwithouttheneedtorewriteacrossregions.Simplyexchangingbasicortransformthelocaldataintoaunifieddata.informationtodaymayinvolveaccessingandinterpretingawidevarietyofformats,dataKEYWORDSlanguage,
8、datamodels,andprotocolsthatgoHeterogeneousdistributedd
