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1、VMwarevFabricGemFireReal-TimeDataCorrelation:LatencyandSustainedOperationsEXECUTIVESUmmaryVMwarevFabricGemFireIntroductionoptimizeddataserializationformatbasedon20+yearsofbuildingnetworkbaseddistributeddatasystems.GemFireallowsforJavaVMwarevFabric™GemFire®isanin-memory,d
2、istributed,serializationorcustomerspecificserializationformats,iftheydooperationaldatastoreforJavaObjectswithsupportforJava,notwanttouseGemFireserialization.GemFireprovidesNativeC++,and.Netobjects.GemFireisanultralowlatencydataC++and.Netlibrariesalsohelpincreaseperforman
3、ceinthisarea.platformusedby8ofthe10largestcapitalmarketscompaniestomeettheirdemandingneedsforperformanceandreliability.Inaddition,GemFireprovidesanumberofotherfeaturestoGemFireprovidesfordynamicgrowthatruntimebysupportingminimizeoveralllatencyandincreasescalabilitysuchas
4、builtintheadditionofinexpensivecommodityhardware.Thissolutionisload-balancingbetweenclientsandservers,objectdeltapropagation,linearlyscalablewithonlyasmalllossinefficiencyasthesystemuseofsecondarydatacopiesforreadaccess,andadistributedhitshundredsofservers.Itisdesignedto
5、run7x24,behighlyfunctionservicestoroutefunctionstothedata(insteadoftheavailableinthefaceofhardwareandnetworkfailures,andtotraditionalpatternwhichisviceversa).provideazerodataloss.Reducinglatencyincreasesapplicationthroughput.ForapplicationsItscoretopologyisapeer-to-peera
6、rchitecturewhereeachthatdidnothaveareliablein-memoryfabricitisnotunusualtoGemFirememberholdsoneormoresocketsopentoalloftheseea10xperformanceincrease.Evenforapplicationsthatdootherpeers.Eachmembercansupportoneormorenamespaceshavesomeformofcaching,GemFireoftenincreasessyst
7、emsthatholddatacalledRegions.Eachregionhasitsownconfigurablethroughputfrom200-400percent.Inthesecases,thetotalsettingsgoverningsuchthingsasthedatastoragemodel,localamountofhardware(andrelatedspaceandelectricity)canbedatastorageandmanagement,dataeventdistributionanddatare
8、ducedbyafactoroftwoormore.persistence.Thetwomainstoragemodelsforserversarereplicated,whereeachmembertha
