【研报】新计算面使能移动算网融合.docx

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1、5G-A6GNewComputingP1.aneforMobi1.eNetworkandComputingConvergence(2024Edition)卷膏1中超智库jnteIgPW浪潮ZTE中兴NOejoint1.ycontro1.1.edioensureIheE2Eexperience.Byknowingthecapabi1.ities,statusandperformanceofbothcommunicationandcomputingsegments,schedu1.ingofIhccommunicationandcomputingresourcescanbedynamica1.1.

2、yadjustedtonwettheE2Eexperiencerequirementswithoutover-provisioning.2.4. Termina1.-in-network-edge-c1.oudcomputingnetworkcoordinationMNCCshou1.dbestuti1.izethecomputingresourcesacrossmu1.tip1.edomains,inc1.udingcentra1.c1.oud,edgec1.oud,in-networkcomputing,andtermina1.s.Specifica1.1.y,MNCCprovidesub

3、iquitouscomputingresourcesphysica1.1.yinterconnectedamongthesedomains,andsynergistica1.1.yorchestratescomputingtasksamongthem.Forexamp1.e,ifanobjectrecognitionanddetectiontaskbeforeXRrenderingisimp1.c11wntcdonthec1.oudside,itwi1.1.1.eadtoa1.argeamountofdatatransmissionandcorrespondinghighnetworkband

4、widthrequirement.However,ifthecomputationisperformedon1.yonthetermina1.side,itmayriska1.argerendering/processingde1.aydue1.othe1.imitationOfcomputingresources,(hereby1.oweringuserexperience.Therefore,thecomputingresourcesofthetermina1.endorin-networkoredgeneedtobejoint1.yuti1.ized,whereeachentityhan

5、d1.esaportionofthecomputingtasktominimizethesericede1.ayandteminasenergyconsumption.Asanexamp1.e,edgecomputingSUPPOrIScomp1.exinference(e.g.1.argeAI/M1.mode1.),whi1.ethetermina1.performsasma1.1.amountofdatapreprocessing.Moreover,putingresources,andbyCo1.1.abonitivcschedu1.ingofcomputingandnetworkres

6、ourcesinaccordancewiththescnriccrequirements.MNCCcanfurtherimprovetheexperienceofusersatsca1.e.2.5. Pathse1.ectionandoptimizationTOaccesscomputingnodesforservices,pathse1.ectionandoptimizationshou1.dbeperformedinthenetwork.T1.ieexistingpathse1.ectionnchanisnwhereIhenetworkse1.ectseUPF(UserP1.aneFunc

7、tion)bySMF(SessionManagementFunction),isbasedontheavai1.abi1.ityand1.oadofexistingUPFresourceswithintheSMFsservicearea.However,itneitherfu1.1.yconsiderstheba1.anceofresourcesonag1.oba1.sca1.enorthea1.ignmentbetweenuserQoSrequirementsanduserp1.anepaths.Therefore,itcannotse1.ectIheoptima1.userp1.anepa

8、thdynamica1.1.yandefficient1.ytoprovideu1.timatecomputingexperienceIotheuser.Forcontro1.p1.anepathse1.ection,whenauseraccessesthemobi1.ecommunicationnetwork,itisnecessarytoconsidertherea1.-timestatusmanagementandcontro1.capabi1.itiesofthemobi1.enetwork,workresourcesandcomputingnodeswork1.oads,workfu

9、nctionfortheuser.Asaresu1.t,MNCCneedstouti1.izethenetworktodynamica1.1.ybui1.dintcrvonncc1.ionbetweendistributedcomputingresourcesandstorageresources.Throughmu1.ti-dimensiona1.coordinateda1.1.ocationofnetwork,storage,andcomputingresources,theapp1.icationcanbeschedu1.edamongwide1.ydistributedcomputin

10、gresourcesintheMNCC.Byjoini1.yconsideringandcontro1.1.ingthecommunicationde1.ay(inc1.udingpropagationde1.ayandtransmissionde1.ay),g1.oba1.optimizationofcomputingresourceusagecanbeachievedwithguaranteedservicequa1.ityanduserexperience.2.6. IdentificationofservicerequestsandassociatedQoS/resourcerequi

11、rementsInsomete11nina1.-in-network-c1.oudco1.1.aborationusecases,suchasfederated1.earningandUEcomputa1.inoff1.oading,app1.icationmodu1.esorcomputingtaskswi1.1.bedynamica1.1.ydep1.oyedoroff1.oadedtothecomputingnodesinthenetworkbasedonUEsrequestsandavai1.ab1.eresources.TheUE,srequestcanbeover-the-topa

12、pp1.icationrequestsorspecificcomputingservicerequeststothenetworkentities.Regard1.esshowservicerequestsareexpressedandtransported,thenetworkneeds(oidentifytherequestsandreso1.vetherequiredresourceandQoS11xuircncnts,inc1.udingthenumberofapp1.icationmodu1.esorcomputingtaskstobedep1.oyed,theamountofcom

13、putingresourcesrequired,theexpecied1.atency,thebandwidthacrossse1.ectedpath,andothernecessaryrequirements.Theserequirementsneedtoberef1.ectedexp1.icit1.yorimp1.icit1.yintheUEsrequest.3. Architectureconsiderations3.1. Evo1.utionof5(JandEdgesystemarchitecturesIn5Gera,the5GCandEdgeDataNetworkaretwosepa

14、ratenetworksthatareoperated,contro1.1.edandmanagedindependent1.y.TheEdgeDataNetworkcou1.dconsumesome5GCnetworkcapabi1.itiesthroughNEF(forexamp1.e.EDGE_7.EDGE_2andEDGE_8interfaces(see3GPPTS23.5584)tofu1.fi1.therequirementoftheedgeserviceoperations,suchasAF(App1.icationFunction)trafficinf1.uencefuncti

15、ona1.ity.UE1.ocationinformation,estab1.ishmentofanAFsessionwithQoS.andQoSmonitoringcapabi1.ity.However,thesecapabi1.itiesarcnotsufficienttoensureandoptimizetheE2EQoSthatstemsfrombothcommunicationandcomputingsegments.Withthis1.imitedcoordination,the5GcorenetworkisnotawareoftheQoSprovidedbytheEdgeData

16、Network,andtheEdgeDataNetworkhasnoknow1.edgeaboutthenetworkconditionsoftheAN(accessnetwork)ortermina1.,thereforethereisnowaytocoordinateresourcemanagementandtrafficschedu1.ingatbothsidestoensureandoptimizetheE2EQoS.Toenab1.eMNCCandcontro1.theE2EQoSbetweenthe5GsystemandEdgeDataNetwork,thecoordination

17、betweenthetwosystemsneedstobeextendedtosupxrt:5Gsystemtogetthein1.br11aiionandstatusoftheEdgeserver,suchas1.ocation,capacity,usage,bandwidth,1.atency,throughput,cic.;and5Gsystemaru1./orEdgeDataNetworkogetthein(b11nationofAccessNetworkandtermina1.,suchas1.atency,throughput,capacity,coveragearea,numbe

18、rofusers,re1.iabi1.ity,etc.TheextendedCoOrdinaIiOncou1.dbeachievedthroughenhancingtheinterfaces(EDGE_7.EDGE_2andEDGE_8)between5GCandtheEdgeDataNetwork,theinterfaces(e.g.EDGE_M)betweentheManagementandOrchestrationSystemsofbothsides,asi1.1.ustratedintheFigure3-1.resources,communication1.atency,andcomp

19、uting1.atency,which,togetherwithadditiona1.informationsuchasUE1.ocation,arcnecessarytosupportcomputingtaskschedu1.ingandcomputingresourcea1.1.ocation.Thenetworkestab1.ishessessionsbasedonbothcommunicationandcomputingQoSparameters.Thecomputingandnetworkingsessionmanagementfunctionscanse1.ectdifferent

20、forwardingpathsandcomputingnodestoprocesstherequestedcomputingtasks.Thetypeandsizeofacomputingtaskaffectsthese1.ectionofcomputingnodeswithrespecttoconditionsofnetworkandcomputingsegments,whi1.ethecommunication1.atencydeterminesthese1.ectionofuserp1.anepaths.Forthesereasons,these1.ectionOfcomputingre

21、sourceandcommunicationathshou1.dfo1.1.owunifiedpo1.icytoguanintccE2EQoS.4.3. DynamicUEwork1.oadoff1.oadingandschedu1.ingWithpervasivecomputingresourcedisiribuionwithinthenetwork,(heefficiencyofwork1.oadoff1.oadingandschedu1.ingarcheavi1.yimpactedbynetworkconditions.Thissectionexp1.oreshowwork1.oadsc

22、anbedynamica1.1.yoff1.oadedandschedu1.edacrossdifferentremoteexecutionenvironmentsanddiscussestheimpactofcommunication1.ink1.atencyandcongestiononoff1.oadingdecisions,wherethecomputingcapabi1.itiesinremoteexecutionenvironmentsinck1.cHardwareasaService(HaaS).P1.atformasaScnicc(PaaS),andSoftwareasaSer

23、vice(SaaS).Effectiveoptimizationstrategiesofwihrespecttothesefactorsareessentia1.forenhancingE2EQoSperformanceandOpiimizingresourceUti1.iziiiionandconsistsofthefo1.1.owingaspects:1) Work1.oadmode1.ing.Mode1.ingof(asksinvo1.vesidentifyingthecomputationa1.requirements,datadependencies,bandwidthrcuircnntsandexecutiontime1.inesoftasks.Accuratemode1.she1.pinpredictingtheperformanceimpactsofoff1.oadingandinmakinginformeddecisionsa