《出版社通信英語》課件edge computing -邊緣計算

EdgeComputingThecloudcomputingparadigmisaserviceprovisioningmodelthatprovidesuseraccesstoscalabledistributedcapabilitiesincludingcomputing,networking,andstorageintheclouddatacenters.Cloudserviceproviders(CSPs)provideflexibilityandefficiencyforendusersbyprovidingservicessuchassoftwareasaservice(SaaS),platformasaservice(PaaS)andinfrastructureasaservice(IaaS).edgen.邊緣，刀刃paradigmn.范例，范式provisionn.規(guī)定，條款，準(zhǔn)備；v.供給---食物及必需品scalablea.可擴(kuò)展的，可攀登的distributev.分配，散布flexibilityn.靈活性，柔韌性Forexample,servicevendorscanscaleservicestofittheirneeds,customizeapplicationsandaccesscloudservicesfromanywherewithaninternetconnection.Thuscloud-basedservicesareidealforbusinesseswithgrowingorfluctuatinginternetbandwidthdemands.Moreover,withcloudcomputing,enterpriseuserscanshipapplicationstomarketmorequickly,withoutworryingaboutunderlyinginfrastructurecosts,maintenance,disasterrecovery,andautomaticsoftwareupdates.platformn.平臺，站臺customizev.定制，量身定制fluctuatev.波動，起伏disastern.災(zāi)難，災(zāi)害automatica.自動的，機(jī)械的Toleveragethebenefitsofcloudcomputing,variousdeploymentmodelsincludingprivatecloud,publiccloud,andhybridcloud,arekeyfactorsforsystemreliabilityandscaleforbusinessneeds.Cloudcomputinghaschangedthewayofbusinessofallverticaldomainsaswellashumanbeing’sdailylifedramatically.leveragev.利用；n.杠桿deploymentn.部署，展開hybrida.混合的，雜種的reliabilityn.可靠性，可靠度verticala.垂直的，直立的dramaticallyad.顯著的，劇烈的Therefore,it’spredictedthatcloudserviceisinevitablybecomingpervasiveandubiquitousinanycommercialorpersonalmarket,whichissimilarwiththeprevalentdominanceofInternetinnowadays.inevitablea.必然的，不可避免的pervasivea.普遍的，到處滲透的ubiquitousa.普遍存在的，無所不在的prevalenta.普遍的，流行的dominancen.優(yōu)勢，統(tǒng)治

Althoughcloudcomputingcanprovideorganizationsdynamic,cloud-basedoperatingmodelsforcostoptimizationandincreasedcompetitiveness,italsohassomedisadvantagesinmanyscenarioslikeindustrialIoT,connectedautonomousvehicles(CAVs),smarthomes,andsmartcities.dynamica.動態(tài)的，動力的optimizationn.最佳化，最優(yōu)化scenariosn.場景，情節(jié)Forexample,cloudcomputingbasedprocessingrequireshugevolumeofdatatransportationfromenddevicesandsensors,whichconsumeslargenetworkbandwidth.Moreover,clouddatacenterbasedanalysisisnotpossibleforhugedatageneratedfromthousandsofmillionsofenddevicesduetotheincapabilityofcomputingandstorage.Therefore,cloudcomputingbasedprocessingcan’tprovidepromptresponsivenessandshortlatencyforbigdataanalyticsfrommassiveIoTdevices.Insomescenarioswheredataprivacyandsecurityisthefirstconcern,cloudcomputingdatacentersarenottrustfultoconductthedataanalytics.consumev.消費(fèi)，消耗Incapabilityn.無能力，無資格latencyn.潛伏，延遲，時延securityn.安全，安全性

Edgecomputingisemergedasapromisingparadigmthatprovidescapabilitiesofprocessingorstoringcriticaldatalocallyandpushingallreceiveddatatoacentraldatacenterorcloudstoragerepository.Forexample,inIoTusecases,theedgedevicescollectdatafromsensorsandprocessitthere,orsenditbacktoadatacenterorthecloudforprocessingifthelocalprocessingpowerisnotenough.repository

n.倉庫，知識庫Tothisend,edgecomputingparadigmcantakesomeoftheloadoffthecentralclouddatacentersandmigratethetasksfromcloudcomputingcenterstonetworkedgedevices,reducingoreveneliminatingtheprocessingworkloadatthecentrallocation.Thedemandforscalablereal-timedataanalyticsinIoTscenariosisthemaindrivingforceforedgecomputing.Inedgecomputingenvironment,datagenerationandconsumptionareconcentratedtotheedgeofthenetworkinmanyapplicationsofsmarthome,smartcity,andindustrialinternet.eliminatev.消除，排除environmentn.環(huán)境，外界

WiththeadvancesofIoT,5Gcommunication,autonomousdriving,andsmartcities,edgecomputingisconnectingandbridgingthegapbetweennumerousenddevicesandthecentralizedcloudcomputingdatacenters.Moreover,insomecaseswheredataprivacyandsecurityisthemainconcern,edgecomputingpromisestoprovidedataprivacypreservationbykeepingdatainsidethenetworkedgeratherthansendingthedatatocentralizedclouddatacenters,whichinturnprovideslowerlatency,increasereliabilityandimprovesoverallnetworkefficiency.bridgev.架橋，渡過privacyn.隱私，秘密preservationn.保存，保留Sincehundredsofmillionsofedgedevicesaregeographicallydeployedinadistributedmanner,andtheprocessingtodataisalsoperformedonheterogeneousdistributeddevices,it’sveryimportanttodesignnewsystemarchitecturesuitableforedgecomputingenvironments.Thedatavolumegeneratedbyvariousapplicationsanddevicesrunningintheedgecomputingenvironmentishugeandhighlyheterogeneous.Withtheever-increasingdeploymentofvariousIoTdevices,lotsofmobiledevicesandapplicationsneedsmorestringentrequirementsonservicequalityandrealtimeresponsivenessofdataprocessing.geographicala.地理的，地理學(xué)的heterogeneousa.混雜的，異質(zhì)的stringenta.嚴(yán)格的，嚴(yán)厲的elaboratea.精心制作的，詳盡的alternativea.選擇性的，交替的offloadv.卸載，分流analyticsn.解析學(xué)，分析論Threepopularapplicationcasesarelistedasfollows：1)IoTThewidedeploymentofIoTdevicesandtheincreasingcommercialdemandforreal-timedataprocessingandthehighqualityofserviceofuserexperiencesurgethecreationofedgecomputing.SincemoreandmoreintelligentdevicesandsensorsaredeployedintheIoTenvironment,dataproductionandconsumptionareperformedandshiftedtotheedgeofnetworkgradually,whichalsoneedselaboratecomputingtechnologyforrealtimeanalyticsandpervasiveprocessing.2)SMARTHOMETechnologiesforbetterqualitylifeandlivingconditionshavechangedhumanbeing’slifestyleandliftquality.Deployingvarioussensorsathomeandsendingcollecteddatatoremoteclouddatacenterforprocessingintroducehighriskofprivatedataleakage,dataabuse,andphysicalthreattomassivelocalresidents.Therefore,thetraditionalcloudcomputingbaseddataprocessingisnotsuitableforsmarthomeapplications,anddataprivacypreservationenablededgecomputingemergesastheperfectalternativetosmarthome.leakage泄露abuse濫用3)SMARTCITYCityistheplacethatconsistsofmanysmarthomes,whichimpliesthattheedgecomputingparadigmcanbeextendedfromfamilyleveltocitylevel,i.e.,thesmartcity.However,sinceatypicalcityalsoproduceslargevolumeofpublicservicesrelateddata,eventhemostadvancedclouddatacenterscan’tprocessthesedatainrealtimeforcity-scaleinteractiveanalyticsduetothelackofcapabilitiesofcomputing,storage,andnetworking.implyIfdataprocessingcanbeoffloadedtotheedgeofthenetwork,itcanreducethepressureofclouddatacentersandmakeitpossiblefornearrealtimeanalytics.Moreover,inasmartcity,oneofthemostimportantapplicationscenariosisintelligenttransportation.Networkedtrafficsensorsandcamerasprovideperfectplatformforedgedataprocessingclosetolocaldatasource,whichmakesitpossibletosolvetrafficproblemsfacingtheurbanresidents,fromtrafficconditionsalertstoroadconditionsprediction.offload卸下，卸載intelligent

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