《出版社通信英语》课件edge computing -边缘计算

EdgeComputingThecloudcomputingparadigmisaserviceprovisioningmodelthatprovidesuseraccesstoscalabledistributedcapabilitiesincludingcomputing,networking,andstorageintheclouddatacenters.Cloudserviceproviders(CSPs)provideflexibilityandefficiencyforendusersbyprovidingservicessuchassoftwareasaservice(SaaS),platformasaservice(PaaS)andinfrastructureasaservice(IaaS).edgen.边缘，刀刃paradigmn.范例，范式provisionn.规定，条款，准备；v.供给---食物及必需品scalablea.可扩展的，可攀登的distributev.分配，散布flexibilityn.灵活性，柔韧性Forexample,servicevendorscanscaleservicestofittheirneeds,customizeapplicationsandaccesscloudservicesfromanywherewithaninternetconnection.Thuscloud-basedservicesareidealforbusinesseswithgrowingorfluctuatinginternetbandwidthdemands.Moreover,withcloudcomputing,enterpriseuserscanshipapplicationstomarketmorequickly,withoutworryingaboutunderlyinginfrastructurecosts,maintenance,disasterrecovery,andautomaticsoftwareupdates.platformn.平台，站台customizev.定制，量身定制fluctuatev.波动，起伏disastern.灾难，灾害automatica.自动的，机械的Toleveragethebenefitsofcloudcomputing,variousdeploymentmodelsincludingprivatecloud,publiccloud,andhybridcloud,arekeyfactorsforsystemreliabilityandscaleforbusinessneeds.Cloudcomputinghaschangedthewayofbusinessofallverticaldomainsaswellashumanbeing’sdailylifedramatically.leveragev.利用；n.杠杆deploymentn.部署，展开hybrida.混合的，杂种的reliabilityn.可靠性，可靠度verticala.垂直的，直立的dramaticallyad.显著的，剧烈的Therefore,it’spredictedthatcloudserviceisinevitablybecomingpervasiveandubiquitousinanycommercialorpersonalmarket,whichissimilarwiththeprevalentdominanceofInternetinnowadays.inevitablea.必然的，不可避免的pervasivea.普遍的，到处渗透的ubiquitousa.普遍存在的，无所不在的prevalenta.普遍的，流行的dominancen.优势，统治

Althoughcloudcomputingcanprovideorganizationsdynamic,cloud-basedoperatingmodelsforcostoptimizationandincreasedcompetitiveness,italsohassomedisadvantagesinmanyscenarioslikeindustrialIoT,connectedautonomousvehicles(CAVs),smarthomes,andsmartcities.dynamica.动态的，动力的optimizationn.最佳化，最优化scenariosn.场景，情节Forexample,cloudcomputingbasedprocessingrequireshugevolumeofdatatransportationfromenddevicesandsensors,whichconsumeslargenetworkbandwidth.Moreover,clouddatacenterbasedanalysisisnotpossibleforhugedatageneratedfromthousandsofmillionsofenddevicesduetotheincapabilityofcomputingandstorage.Therefore,cloudcomputingbasedprocessingcan’tprovidepromptresponsivenessandshortlatencyforbigdataanalyticsfrommassiveIoTdevices.Insomescenarioswheredataprivacyandsecurityisthefirstconcern,cloudcomputingdatacentersarenottrustfultoconductthedataanalytics.consumev.消费，消耗Incapabilityn.无能力，无资格latencyn.潜伏，延迟，时延securityn.安全，安全性

Edgecomputingisemergedasapromisingparadigmthatprovidescapabilitiesofprocessingorstoringcriticaldatalocallyandpushingallreceiveddatatoacentraldatacenterorcloudstoragerepository.Forexample,inIoTusecases,theedgedevicescollectdatafromsensorsandprocessitthere,orsenditbacktoadatacenterorthecloudforprocessingifthelocalprocessingpowerisnotenough.repository

n.仓库，知识库Tothisend,edgecomputingparadigmcantakesomeoftheloadoffthecentralclouddatacentersandmigratethetasksfromcloudcomputingcenterstonetworkedgedevices,reducingoreveneliminatingtheprocessingworkloadatthecentrallocation.Thedemandforscalablereal-timedataanalyticsinIoTscenariosisthemaindrivingforceforedgecomputing.Inedgecomputingenvironment,datagenerationandconsumptionareconcentratedtotheedgeofthenetworkinmanyapplicationsofsmarthome,smartcity,andindustrialinternet.eliminatev.消除，排除environmentn.环境，外界

WiththeadvancesofIoT,5Gcommunication,autonomousdriving,andsmartcities,edgecomputingisconnectingandbridgingthegapbetweennumerousenddevicesandthecentralizedcloudcomputingdatacenters.Moreover,insomecaseswheredataprivacyandsecurityisthemainconcern,edgecomputingpromisestoprovidedataprivacypreservationbykeepingdatainsidethenetworkedgeratherthansendingthedatatocentralizedclouddatacenters,whichinturnprovideslowerlatency,increasereliabilityandimprovesoverallnetworkefficiency.bridgev.架桥，渡过privacyn.隐私，秘密preservationn.保存，保留Sincehundredsofmillionsofedgedevicesaregeographicallydeployedinadistributedmanner,andtheprocessingtodataisalsoperformedonheterogeneousdistributeddevices,it’sveryimportanttodesignnewsystemarchitecturesuitableforedgecomputingenvironments.Thedatavolumegeneratedbyvariousapplicationsanddevicesrunningintheedgecomputingenvironmentishugeandhighlyheterogeneous.Withtheever-increasingdeploymentofvariousIoTdevices,lotsofmobiledevicesandapplicationsneedsmorestringentrequirementsonservicequalityandrealtimeresponsivenessofdataprocessing.geographicala.地理的，地理学的heterogeneousa.混杂的，异质的stringenta.严格的，严厉的elaboratea.精心制作的，详尽的alternativea.选择性的，交替的offloadv.卸载，分流analyticsn.解析学，分析论Threepopularapplicationcasesarelistedasfollows：1)IoTThewidedeploymentofIoTdevicesandtheincreasingcommercialdemandforreal-timedataprocessingandthehighqualityofserviceofuserexperiencesurgethecreationofedgecomputing.SincemoreandmoreintelligentdevicesandsensorsaredeployedintheIoTenvironment,dataproductionandconsumptionareperformedandshiftedtotheedgeofnetworkgradually,whichalsoneedselaboratecomputingtechnologyforrealtimeanalyticsandpervasiveprocessing.2)SMARTHOMETechnologiesforbetterqualitylifeandlivingconditionshavechangedhumanbeing’slifestyleandliftquality.Deployingvarioussensorsathomeandsendingcollecteddatatoremoteclouddatacenterforprocessingintroducehighriskofprivatedataleakage,dataabuse,andphysicalthreattomassivelocalresidents.Therefore,thetraditionalcloudcomputingbaseddataprocessingisnotsuitableforsmarthomeapplications,anddataprivacypreservationenablededgecomputingemergesastheperfectalternativetosmarthome.leakage泄露abuse滥用3)SMARTCITYCityistheplacethatconsistsofmanysmarthomes,whichimpliesthattheedgecomputingparadigmcanbeextendedfromfamilyleveltocitylevel,i.e.,thesmartcity.However,sinceatypicalcityalsoproduceslargevolumeofpublicservicesrelateddata,eventhemostadvancedclouddatacenterscan’tprocessthesedatainrealtimeforcity-scaleinteractiveanalyticsduetothelackofcapabilitiesofcomputing,storage,andnetworking.implyIfdataprocessingcanbeoffloadedtotheedgeofthenetwork,itcanreducethepressureofclouddatacentersandmakeitpossiblefornearrealtimeanalytics.Moreover,inasmartcity,oneofthemostimportantapplicationscenariosisintelligenttransportation.Networkedtrafficsensorsandcamerasprovideperfectplatformforedgedataprocessingclosetolocaldatasource,whichmakesitpossibletosolvetrafficproblemsfacingtheurbanresidents,fromtrafficconditionsalertstoroadconditionsprediction.offload卸下，卸载intelligent

智能的Althoughthetraditionalcloudcomputingtechnologycannotmeetrequirementsintermsofreal-timeresponse,privacyprotection,andlessenergyconsumption,theedgecomputingparadigmisnotinessencereplacingthecloudcomputingtechnology.Incontrast,thecloudcomputingandedgecomputingarecomplementaryandmutuallyreinforcingeachotherinmanyscenarios.Moreover,theedgecomputingandcloudcomputingwillcollaborateinthenetworkedcomputingenvironmentincludingscenariossuchasIoT,smartcity,smarthome,industrialinternet,connected