InternetofThings物联网展望和服务方案31

InformationPotentialof“InternetofThings”Presentedby:BorisBulanovandAmrishThakkar15thMay2014SafeHarborTheinformationbeingprovidedtodayisforinformationalpurposesonly.Thedevelopment,releaseandtimingofanyInformaticaproductorfunctionalitydescribedtodayremainatthesolediscretionofInformaticaandshouldnotberelieduponinmakingapurchasingdecision.Statementsmadetodayarebasedoncurrentlyavailableinformation,whichissubjecttochange.Suchstatementsshouldnotberelieduponasarepresentation,warrantyorcommitmenttodeliverspecificproductsorfunctionalityinthefuture.Content•IoTIntroduction•IoTArchitectureExplored•InformaticaIoTSnapshotsObservations•Today,virtuallyallproductsthatuseelectricity–fromtoysandcoffeemakerstocarsandwearables–possessinherentdataprocessingcapability•Anymanufacturedobjecthasthepotentialtobenetworked•IPv6islargeenoughforeverygrainofsandonearthtobeIPaddressableInternetofThingsDefined“Aworldwidenetworkofinterconnectedobjectsuniquelyaddressable,basedonstandardcommunicationprotocols…”QuoteSource:IoT_in_2020_Workshop_Report_V1-1.pdfVision–bringingphysicalworldintodigitalspaceInternetofThings(IoT)TechnologyTrendsLowpowerchipsEnergyharvesting(biological)Energyharvesting(photovoltaic)WirelesspowerWideuseofRFIDInternetofThingsIntegratedObjectsContinuumofpeople,computers,thingsTaggingthingsAssistedLiving,BiometricIDs,IndustrialecosystemsAutomatedhealthcare,Searchofphysicalworld,AmbientintelligenceSmartLiving,In-vivohealth,DevicecooperationCheapertags,MiniaturereadersExecutabletags,Autonomoustags,CollaborativetagsOn-chipantennas,HigherfrequenciesNano-levelprocessingVisionPeopleDevicesEnergy201020152020Source:IoT_in_2020_Workshop_Report_V1-1.pdfProgressionofIoTCapabilities•Monitoringthebehaviorofpersons,things,ordatathroughspaceandtime•Location-basedoffersandpayments;Inventoryandsupplychainmonitoringandmanagement•Achievingreal-timeawarenessofphysicalenvironment.•Vitalsignsmonitoring;Searchingforphysicalthings•Enhanced/assistedunderstandingofreality,assistinghumandecisionmakingthroughdeepanalysisanddatavisualization•Augmentedreality;Probabilisticmodels;Collectiveexperience•Immediacy•Relevance•Simplicity•ContextFundamentalIoTCharacteristicsGraphics:estimote.com•Accessible24-7acrossalldevices•OngoingandlinkedconversationacrossallinteractionchannelsExpandingInformationDeliveryMechanismsPersonalizedBillboardsConnectedCarsWearablesHomeAppliancesAugmentedPrintedMediaIoT:RapidlyexpandingandVolumesgrowingAnairplanewillgenerate10TBofdataforevery30minutesofflightEnergyutilitycompaniesprocess1.1BILLIONdatapoints(.5TB)perdayAlargerefinerygeneratesover1TBofrawdataperdayCarcangenerateasmuchas20TBofdataper1,000milesNumberofconnectedobjectsexpectedtoreach50billionby2020**-CiscoVNIReport2013DataFlowinIoTDataTrickleEx.Location,Time,Temp,AirPressureValueEx.Context,Comparison,Offers,Insight,AugmentationCollectiveExperienceDataIntegration,Processing,Preparation,Delivery-BigData-Real-timeprocessing-Aggregation-Cleansing-Referencesources-Analytics-…People,Devices,Systems123IoTArchitectureExploredIoTEco-system•Datastreaming•Multi-tenancy•Scalability•Elasticity•Security•ReliabilityMachineDataIntegrationPlatformDevicesSystemsAnalyticsOperationsControllersSensorsandConnectedDevicesGatewaysExistingSystemsDownstreamConsumersIoTIntegrationPlatformTopologyIoTPlatformProvisioningandmonitoring-devices-applications-servicesDiscovery,Configuration,DiagnosticsIdentityandSecurity,FraudPlatformServicesStreamingDataPreparation(de-duplication,stitching,routing,etc.)DataDistributionServiceAPIsPlatformDataServices-RT&BatchDI-CEPanalytics-Quality-Security-MDMAppAppAppAccounting,Billing,Reporting,AnalyticsOperations,Maintenance,VisibilityEvolutionofDataManagementforIoTAgeofDataValueofDataEventsEDWAggregateDataIoTSimplifiedServer-sideTopologyforIoTDataSourcesReal-timeDIBatchDICEPStreamingCollectionDashboardUp-to-dateHistoricalViewReal-timeViewSelf-serviceRulesInformaticaIoTSnapshotsSnapshots•OpenSourceDIframeworkforIoT•Real-timedatacollectionlayer•DataIntegrationonHadoopProjectSurf–OpenSourceIoT/M2MforAWS•SimplifyIoTbackenddevelopment•Connectivity,abstractions,examples•GitHubrepository-•RunnersinstallMarathonAppontheirphones•Eachrunnerprovidestheirnametoregisterandchoosesprivacylevels•Locationinformationiscollectedcontinuouslyfromtheirphonesduringtherun•MarathonAppdisplaysvaluableinformationbacktotherunner:•Rankingintherace•Runstatistics–speed,distance,etc.•Usefullocalizedinformation–waterstops,neighborhooddescription•Offers–fund-raising,promotions,ads,etc.•CentralizedMarathonDashboardgiveshigh-levelviewoftheraceImplementation-SurfJavaClientMQTTSurfMySQLDashboardKinesisComputeDistance,SpeedTransformKinesisKinesisAppsTargetAppsHBaseWebServerPackagePersonalViewVDS–VibeDataStreamforMachineDataReal-timeStreamingDataCollectionStreaming•Highthroughput•Peer-to-peer•Multipletargets•HA,Guaranteeddelivery•WANoptimizedReal-timeETLHDFSEDWRealTimeActionsAgentAgent•Connec