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InternationalTelecommunicationUnion
Y.2501
(09/2021)
ITU-T
TELECOMMUNICATION
STANDARDIZATIONSECTOR
OFITU
SERIESY:GLOBALINFORMATIONINFRASTRUCTURE,INTERNETPROTOCOLASPECTS,NEXT-GENERATIONNETWORKS,INTERNETOFTHINGSANDSMARTCITIES
NextGenerationNetworks–Computingpowernetworks
Computingpowernetwork–Frameworkandarchitecture
RecommendationITU-TY.2501
ITU-TY-SERIESRECOMMENDATIONS
GLOBALINFORMATIONINFRASTRUCTURE,INTERNETPROTOCOLASPECTS,NEXT-GENERATIONNETWORKS,INTERNETOFTHINGSANDSMARTCITIES
GLOBALINFORMATIONINFRASTRUCTURE
Y.100–Y.199Y.200–Y.299Y.300–Y.399Y.400–Y.499Y.500–Y.599Y.600–Y.699Y.700–Y.799Y.800–Y.899
Y.1000–Y.1099Y.1100–Y.1199Y.1200–Y.1299Y.1300–Y.1399Y.1400–Y.1499Y.1500–Y.1599Y.1600–Y.1699Y.1700–Y.1799Y.1800–Y.1899Y.1900–Y.1999
Y.2000–Y.2099Y.2100–Y.2199Y.2200–Y.2249Y.2250–Y.2299Y.2300–Y.2399Y.2400–Y.2499
General
Services,applicationsandmiddleware
Networkaspects
Interfacesandprotocols
Numbering,addressingandnaming
Operation,administrationandmaintenance
Security
Performances
INTERNETPROTOCOLASPECTS
General
Servicesandapplications
Architecture,access,networkcapabilitiesandresourcemanagement
Transport
Interworking
Qualityofserviceandnetworkperformance
Signalling
Operation,administrationandmaintenance
Charging
IPTVoverNGN
NEXTGENERATIONNETWORKS
Frameworksandfunctionalarchitecturemodels
QualityofServiceandperformance
Serviceaspects:Servicecapabilitiesandservicearchitecture
Serviceaspects:InteroperabilityofservicesandnetworksinNGN
EnhancementstoNGN
Networkmanagement
Y.2500–Y.2599
Computingpowernetworks
Y.2600–Y.2699Y.2700–Y.2799Y.2800–Y.2899Y.2900–Y.2999Y.3000–Y.3499Y.3500–Y.3599Y.3600–Y.3799Y.3800–Y.3999
Y.4000–Y.4049Y.4050–Y.4099Y.4100–Y.4249Y.4250–Y.4399Y.4400–Y.4549Y.4550–Y.4699Y.4700–Y.4799Y.4800–Y.4899Y.4900–Y.4999
Packet-basedNetworks
Security
Generalizedmobility
Carriergradeopenenvironment
FUTURENETWORKS
CLOUDCOMPUTING
BIGDATA
QUANTUMKEYDISTRIBUTIONNETWORKS
INTERNETOFTHINGSANDSMARTCITIESANDCOMMUNITIES
General
Definitionsandterminologies
Requirementsandusecases
Infrastructure,connectivityandnetworks
Frameworks,architecturesandprotocols
Services,applications,computationanddataprocessing
Management,controlandperformance
Identificationandsecurity
Evaluationandassessment
Forfurtherdetails,pleaserefertothelistofITU-TRecommendations.
Rec.ITU-TY.2501(09/2021)i
RecommendationITU-TY.2501
Computingpowernetwork–Frameworkandarchitecture
Summary
RecommendationITU-TY.2501describestheframeworkandarchitectureofthecomputingpowernetwork(CPN).Thisisanewtypeofnetworkthatrealizesoptimizedresourceallocation,bydistributingcomputing,storage,networkandotherresourceinformationofservicenodesthroughanetworkcontrolplane.Itcombinesnetworkcontextanduserrequirementstoprovidetheoptimaldistribution,association,transactionandschedulingofcomputing,storageandnetworkresources.
History
EditionRecommendationApprovalStudyGroupUniqueID*
1.0ITU-TY.25012021-09-1313
11.1002/1000/14768
Keywords
Architecture,computingpowernetwork,framework.
*ToaccesstheRecommendation,typetheURL/intheaddressfieldofyourwebbrowser,followedbytheRecommendation'suniqueID.Forexample,
/11.1002/1000/11
830-en
.
iiRec.ITU-TY.2501(09/2021)
FOREWORD
TheInternationalTelecommunicationUnion(ITU)istheUnitedNationsspecializedagencyinthefieldoftelecommunications,informationandcommunicationtechnologies(ICTs).TheITUTelecommunicationStandardizationSector(ITU-T)isapermanentorganofITU.ITU-Tisresponsibleforstudyingtechnical,operatingandtariffquestionsandissuingRecommendationsonthemwithaviewtostandardizingtelecommunicationsonaworldwidebasis.
TheWorldTelecommunicationStandardizationAssembly(WTSA),whichmeetseveryfouryears,establishesthetopicsforstudybytheITU-Tstudygroupswhich,inturn,produceRecommendationsonthesetopics.
TheapprovalofITU-TRecommendationsiscoveredbytheprocedurelaiddowninWTSAResolution1.
InsomeareasofinformationtechnologywhichfallwithinITU-T'spurview,thenecessarystandardsarepreparedonacollaborativebasiswithISOandIEC.
NOTE
InthisRecommendation,theexpression"Administration"isusedforconcisenesstoindicatebothatelecommunicationadministrationandarecognizedoperatingagency.
CompliancewiththisRecommendationisvoluntary.However,theRecommendationmaycontaincertainmandatoryprovisions(toensure,e.g.,interoperabilityorapplicability)andcompliancewiththeRecommendationisachievedwhenallofthesemandatoryprovisionsaremet.Thewords"shall"orsomeotherobligatorylanguagesuchas"must"andthenegativeequivalentsareusedtoexpressrequirements.TheuseofsuchwordsdoesnotsuggestthatcompliancewiththeRecommendationisrequiredofanyparty.
INTELLECTUALPROPERTYRIGHTS
ITUdrawsattentiontothepossibilitythatthepracticeorimplementationofthisRecommendationmayinvolvetheuseofaclaimedIntellectualPropertyRight.ITUtakesnopositionconcerningtheevidence,validityorapplicabilityofclaimedIntellectualPropertyRights,whetherassertedbyITUmembersorothersoutsideoftheRecommendationdevelopmentprocess.
AsofthedateofapprovalofthisRecommendation,ITUhadnotreceivednoticeofintellectualproperty,protectedbypatents/softwarecopyrights,whichmayberequiredtoimplementthisRecommendation.However,implementersarecautionedthatthismaynotrepresentthelatestinformationandarethereforestronglyurgedtoconsulttheappropriateITU-TdatabasesavailableviatheITU-Twebsiteat
/ITU-T/ipr/
.
?ITU2021
Allrightsreserved.Nopartofthispublicationmaybereproduced,byanymeanswhatsoever,withoutthepriorwrittenpermissionofITU.
Rec.ITU-TY.2501(09/2021)iii
TableofContents
Page
1Scope
1
2References
1
3Definitions
1
3.1Termsdefinedelsewhere
1
3.2TermsdefinedinthisRecommendation
1
4Abbreviationsandacronyms
1
5Conventions
2
6Backgroundandmotivations
2
6.1Fromtheperspectiveofcomputingpowerresourceconsumers
2
6.2Fromtheperspectiveofcomputingpowerresourceproviders
3
6.3Fromtheperspectiveofnetworktechnology
3
6.4Fromtheperspectiveofabusinessmodel
3
7Scenarios
4
7.1Scenariosoflowlatency
4
7.2Scenariosofhighmobility
5
8Requirementsofcomputingpowernetwork
5
9Generalframeworkofthecomputingpowernetwork
6
10Functionalarchitectureofcomputingpowernetwork
7
10.1CPNresourcelayer
7
10.2CPNcontrollayer
8
10.3CPNservicelayer
8
10.4CPNorchestrationandmanagementlayer
9
11Securityconsiderations
9
Rec.ITU-TY.2501(09/2021)1
RecommendationITU-TY.2501
Computingpowernetwork–Frameworkandarchitecture
1Scope
ThisRecommendationprovidestheframeworkandarchitectureofthecomputingpowernetwork,specifiesitsfunctionalentitiesanddefinesthefunctionalitiesofthesefunctionalentities,inadditionthisRecommendationalsoprovidesgeneralscenarios,requirementsandsecurityconsiderationsofthecomputingpowernetwork(CPN).
2References
ThefollowingITU-TRecommendationsandotherreferencescontainprovisionswhich,throughreferenceinthistext,constituteprovisionsofthisRecommendation.Atthetimeofpublication,theeditionsindicatedwerevalid.AllRecommendationsandotherreferencesaresubjecttorevision;usersofthisRecommendationarethereforeencouragedtoinvestigatethepossibilityofapplyingthemostrecenteditionoftheRecommendationsandotherreferenceslistedbelow.AlistofthecurrentlyvalidITU-TRecommendationsisregularlypublished.ThereferencetoadocumentwithinthisRecommendationdoesnotgiveit,asastand-alonedocument,thestatusofaRecommendation.
[ITU-TY.2011]RecommendationITU-TY.2011(2004),Generalprinciplesandgeneral
referencemodelforNextGenerationNetworks.
[ITU-TY.2012]RecommendationITU-TY.2012(2010),Functionalrequirementsand
architectureofnextgenerationnetworks.
3Definitions
3.1Termsdefinedelsewhere
ThisRecommendationusesthefollowingtermsdefinedelsewhere:
None.
3.2TermsdefinedinthisRecommendation
ThisRecommendationdefinesthefollowingterms:
None.
4Abbreviationsandacronyms
ThisRecommendationusesthefollowingabbreviationsandacronyms:
5G5th-Generation
AI
CPN
OAM
SDN
ArtificialIntelligence
ComputingPowerNetwork
OperationAdministrationandMaintenance
SoftwareDefinedNetwork
UPF
V2X
UserPlaneFunction
VehicletoX
vBRASvirtualBroadbandRemoteAccessServer
2Rec.ITU-TY.2501(09/2021)
vCPEvirtualCustomerPremiseEquipment
VRVirtualReality
5Conventions
InthisRecommendation:
Thekeywords"isrequiredto"indicatearequirementwhichmustbestrictlyfollowedandfromwhichnodeviationispermittedifconformancetothisRecommendationistobeclaimed.
Thekeywords"isrecommendedto"indicatearequirementwhichisrecommendedbutwhichisnotabsolutelyrequired.Thus,thisrequirementneednotbepresenttoclaimconformance.
6Backgroundandmotivations
Thecomputingpowernetwork(CPN)isanewtypeofnetworkthatrealizesoptimizedresourceallocation,bydistributingcomputing,storage,networkandotherresourceinformationofservicenodesthroughanetworkcontrolplane(suchasacentralizedcontroller,distributedroutingprotocol,etc.).CPNcombinesnetworkcontextanduserrequirementstoprovideoptimaldistribution,
association,transactionandschedulingofcomputing,storageandnetworkresources.CPNprovidestechnicalopportunitieswithinacertainbusinesscontext.
6.1Fromtheperspectiveofcomputingpowerresourceconsumers
Demandsforcomputingpowerareincreasingdaybydayandubiquitouscomputingpowerresourcesareneeded.
Themarketforcomputing-intensiveservices,suchastheAI-basedservicesisgrowing.Thelarge-scaleapplicationofartificialintelligence(AI)algorithmsacrossvariousindustriesrequiresagreatamountofcomputingpowerresources.Inthistheageofcloudcomputing,thetendencyistobuildcentralizedcomputingpowerresourcespoolstosolvethisproblem.However,insomenewscenarios,thesecentralizedpoolsdonotsatisfyrequirementsasappropriatecomputingpowernodesneedtobeselectedaccordingtotheservicecharacteristics,price,andnetworkconditions.Anaccesscontrolsystembasedonfacerecognition,showninFigure6-1,servestoexplainwhyubiquitouscomputingpowerresourcesareneeded.
Figure6-1–Accesscontrolsystembasedonfacerecognition
Rec.ITU-TY.2501(09/2021)3
Inthisexample,anAItrainingpartcanbedeployedincentralizedcomputingpowerpools,suchasacloudcomputingcentre,toperformcomplexcomputingprocessesoffline.However,inthereasoningphase,suchasforinstance,whenrecognizingafacetoopenadoor,thelatencyfactorshouldbeconsidered.Iftheimageorvideoinformationissenttoacloudcomputingcentreforprocessing,thewaitingtimemaybetoolongtobepractical.Consequently,servicesneedtoconsidernotonlycomputingpowerresourcesbutalsothetimeforprocessing,thetimefortransmittingandthecost.Forfully-centralizedcomputingpowerresourcepools,theycannotsatisfyallrequirements,whiledistributedcomputingpowerresourcepools,suchasedgecomputingnodes,haveobviousadvantagesinbandwidthandlatency,thusmeetingthedevelopmentrequirementsoffutureservices.
6.2Fromtheperspectiveofcomputingpowerresourceproviders
Theconstructioncostsofcomputingpowerresourcesperunitaredecreasing.
InaccordancewithMoore'sLaw,theperformanceofchipsisimproving,whilethecostsofcomputingpowerresourcesperunitaredecreasing.Comparedwiththeprovisionofelectricity,theprovisionofcomputingpowerisrelativelyeasy.Intheory,aslongasthereisspaceandelectricityandduecompliancewithfiresafetyregulations,allunitsorevenindividualscanbuildacomputingpowerresourcepooltoprovidecomputingresourcesforvariousservices.However,theexistingcomputingresourcespools,self-builtbyenterprises,aregeographicallyscattered,andtheirutilizationisquitelow.Ifalltheseresourcescouldbeused,itwouldgeneratemorevalueandcreatemorewealthforusersandsociety.Itisalsonotedthatsuper-computingcentresownalargeamountofcomputingpowerresources,whileusersdonothaveawaytoapplyfortheseresources.Consequently,thereisaneedtofindanewsolutionandtechnologysystemtorealizecomputingpowerresourcessharing.
6.3Fromtheperspectiveofnetworktechnology
Networkdevelopmenthaslaidthefoundationfortheflexibleprovisionofmulti-partycomputingresources.
Forsharingofcomputingpowerresources,theaccessibilityofcomputingpowerresourcesneedstobeconsideredfirst.Withthedevelopmentofnetworktechnologiessuchas5Gandsoftwaredefinednetworks(SDNs)thenetworkisnownolongeracauseofbottlenecks.Usersandcomputingpowerresourcescanbeefficientlyconnectedthroughnetworks.
Theisolatedcomputingpowerpoolisdifficulttotransformintoameasurableandsaleablecommoditythatcanpromoteasustainabledevelopmentoftheindustrychain.Withthedevelopmentofnewnetworktechnologiessuchas5G,computingpowerresourcescanbeconnectedinasimple,efficient,andlow-costway,andcanbesoldandusedthroughanewbusinessmodel.
6.4Fromtheperspectiveofabusinessmodel
Anewbusinessmodelisnecessary.
Howtointegratetheresourcesofallparties,sothatuserscanflexiblychooseappropriatecomputingresourcesaccordingtoservicerequirementsisproblematic.Cloudcomputingprovidersneedtoemployalotofpeopletonegotiatewithownersofcomputingpowerresources,signandthenexecuteservicecontractsinordertointegratethediscretecomputingpowerresources.Inaddition,operationandmaintenanceoperationsalsorequireagreatnumberofstaff.Thisgoesagainsttheirprinciplesofminimalistoperationandmaintenance.Consequently,cloudserviceprovidersprefertocooperatewithenterpriseswithlargeamountsofresourcesratherthansmallcompaniesorevenindividuals.
4Rec.ITU-TY.2501(09/2021)
Itishardfortheownersofsmallandmid-sizedcomputingresourcespoolstocompetewithlarge-scalecloudcomputingserviceproviders.Firstofall,duetothelimitationsoftheirtechnicalcapabilities,theproductsandservicesthatcanbeprovidedarequitelimited.Secondly,limitedbythesizeoftheirenterprises,theirmarketingeffortsarelimited,anditisthereforedifficulttoinformpotentialusersoftheirresourceinformation.
Withthesupportofnewtechnologies,computingpowerresourcesinformationcanbedistributedthroughnetworks.Acomputingpowertransactionplatformforresourceprovidersandresourceconsumerscouldbeprovided.Throughthiscomputingpowertransactionplatform,computingpowerprovidersandconsumersdonotneedtobeconcernedaboutthetransactionpartners.Thetransactionplatformshieldsthedifferencebetweentheprovidersandtheconsumers.Providersandconsumersdonotperceiveeachother,andtheycanpayaccordingtounifiedrules,forminganewresourcetransactionmodel.
7Scenarios
Computingpowernetworksmainlyworkintwotypesofscenarios:thefirsttypearelow-latencyscenariosrepresentedbyedgecomputing.Inthiskindofscenario,thecomputingpowernetworkneedstoprovidecoordinationbetweencomputingresources;thesecondtypearehigh-mobilityscenariosrepresentedbylivebroadcastandvehicletoX(V2X).Inthiskindofscenario,thecomputingpowernetworkneedstoprovideflexibleschedulingforservices.
7.1Scenariosoflowlatency
Thelowlatencyrequirementofedgecomputingneedstheinterworkingofcomputingandnetworkcapabilities.Lowlatencyisoneofthemostcriticalcharacteristicsofedgecomputing,anditisalsothekeyfactorthatdistinguishesedgecomputingfromcloudcomputing.Intheedgecomputingscenario,clientshaveanurgentneedforlowlatency,highcomputingcapabilitiesandnetworkingroutingcapabilities,whichisalreadybeyondthecapabilitiesoftraditionalcloudserviceproviders,andnetworkcapabilitieshavebecomeapartofthecloudcomputingcapabilities.Therefore,inadditiontodeployingcomputingnodesattheedgeofthenetwork,italsoneedsa'computing-networkinterworking'reconstructionofthesubstratenetworkarchitecture.Thisreconstructionevolvesthetraditionalnetworkarchitecturemainlycarryingnorth-southtraffictothenewnetworkarchitecturewhichcanscheduleflexiblytakingintoaccountlatencyandcarryeast-westtrafficaswell.
Thenewapplicationofedgecomputingneeds'cloud-networkinterworking'networkarchitecture.ForatypicalAIapplicationforexample,AIreasoningneedslowlatency,thereforeitshouldbedeployedinedgecomputingnodes.WhileAItrainingcanbedeployedinacentralizedcloudcomputingplatformatlowcostasitneedshighcomputingcapabilitiesbuthasnorequirementsonlatency.However,thecurrentedgecomputingsolutiongenerallyfollowsthenetworkconstructionschemeoftraditionaldatacentres.Thisnetworkconstructionsolutionconsistsoftwolayersofswitches(aggregation+accessorSpine-Leafarchitecture)andonelayerofegressrouters[ITU-TY.2011]and[ITU-TY.2012].Thiskindofnetworkingarchitectureincreasesthenumberofroutesanddevicesoftheedgecomputingnodes.Italsoincreasesthelatency,andthelatencyisuncontrollablewhichisquitedifferentfromtheexpectedindicators.
Therefore,forAIapplications,computingpowernetworktechnologyisneededtocollecttheresourcesandnetworkinformationabouteachresourcenode,then,accordingtotheservicerequirement,theAItrainingtaskwiththeheaviestcomputingneedscanbedeployedonthecentralcloud.Thecomputingtaskssuchasfeatureextraction,templatematching,andobjectrecognitionaredynamicallyoffloadedtoappropriateedgenodes.Theterminalonlyneedstoberesponsiblefortargettrackingandscreenrenderinganddisplaytoreducetheend-to-endlatency.
Rec.ITU-TY.2501(09/2021)5
7.2Scenariosofhighmobility
ServicessuchaslivebroadcastfortravelandV2Xoftenhavehighmobility.Inanexamplescenariooflivebroadcast,anchorXisconductingatravellivebroadcast.Duringthelivebroadcast,theanchorneedstogotocityBfromcityAandsharethesceneryalongthewaybetweencityAandcityB.Livebroadcastservicesneedtobeabletoprovidesceneryfeatures,real-timeinteractionwiththeaudience(suchasbarragecommunication,voiceandvideoconnections,livestreamingcommerce,etc.).Inthefuture,VRlivebroadcastwillrequirestrongerimagerendering,greatercomputingpowerandlowerlatency.Asthelocationoftheanchorcontinuestochange,usingthesamecomputingresourcesthechangewillincreaseaswillthephysicaldistancebetweentheserviceandthecomputingresources,leadingtoincreasedlatency.Therefore,thecomputingpowernetworkmayselectmatchingresourcesforusersinreal-timebasedonthelocationandresourceconditions,soastoprovidetheaccompanyingresourcesandimprovetheuserexperience.AsshowninFigure7-1,whenanchorXisincityA,resourcepoolN1providesservices,whenanchorXiisincityB,resourcepoolN2providesservices.
Figure7-1–Livebroadcastscenario
8Requirementsofcomputingpowernetwork
Computingpowernetworksarerequiredtohavetheabilitytoallocatethecomputingpowerresourcesaccordingtouserrequirementsandadjusttheallocationstrategywiththechangeofrequirementsinatimelymanner.Thus,thefollowingrequirementsmustbesatisfied:
–
–
–
–
–
CPNisrequiredtosupportcomputingpowermeasurementforthequantificationof
computingpowerresources.Inotherwords,CPNisrequiredtoprovideunifieddescriptionforcomputingpowerresources.
CPNisrequiredtohavethecapabilitytocollectresourcesinformation.
CPNisrequiredtomakeresourceallocationstrategiesforusersaccordingtouserrequirements.
CPNisrequiredtoestablishnetworkconnectionbetweenresourceusersandresourceprovidersaccordingtotheresourceallocationstrategies.
CPNisrequiredtosupportresourcetransactionbetweenresourceusersandresourceproviders.
6Rec.ITU-TY.2501(09/2021)
–CPNisrequiredtosupportresourcemonitoringtoupdateresourceinformationinatimelymanner.
NOTE–Theunifieddescriptionreferstoasetofmeasurementrules,accordingtowhichwecancomparecomputingresourcesundercertainconditions.Itdoesnotmeanweneedtogiveonlyoneunitforallcomputingpowerresources.
9Generalframeworkofthecomputingpowernetwork
Acomputingpowernetworkframeworkincludesacomputingpowernetworkconsumer,acomputingpowernetworkprovider,acomputingpowernetworktransactionplatform,acomputingpowernetworkcontrolplane,anetworkoperator,etc.AnAIempoweredplatformcanbelinkedaccordingtoservicesdevelopmentrequirements.ThecomputingpowernetworkframeworkisshowninFigure9-1.
–
–
–
Figure9-1–Computingpowernetworkframework
Computingpowernetworkconsumer:Unitsorindividualswhoconsumecomputingpowerresourcesandnetworkresources.Theymakevariousrequirementsintermsofcost,performanceandsecurityaccordingtotheirservices.
Computingpowernetworkprovider:Referstotheunitsorindividualsthatcanprovidecomputingpowerresources.Thecomputingresourcepoolcanbeasmall-scaleedgecomputingnode,alargeormedium-sizedcloudcomputingnode,ametropolitancomputingnodeorasuper-computingcentre,etc.Therefore,theprovidercanbeatelecommunicationoperator,alargecloudserviceprovider,asmallormedium-sizedenterprise,asupercomputingcentre,orevenanindividual.
Computingpowernetworktransactionplatform:Aplatformthatallowscomputingpowernetworkprovidersandcomputingpowernetworkconsumerstomaketransactions.Itcanbe
Rec.ITU-TY.2501(09/2021)7
apublictransaction,thatis,thecomputingpowernetworkconsumersknowexactlywhoprovidesthecomputingpowerresources.Itcanalsobeananonymoustransactionmeaningthatthecomputingpowernetworkconsumersdonotneedtoknowwhothecomputingpowernetworkprovidersare,andthecomputingpowernetworktransactionplatformisresponsiblefortransactionreliabilityandcomputingsecurity.Inaddition,onthistransactionplatform,notonlycomputingresourcetransactions,butnetworkresourcetransactionsneedtobecompletedatthesametimeaccordingtolocationandservicerequirements.
–Computingpowernetworkcontrolplane:Itcollectscomputingpowerinformation,networkinformation,etc.,andsendsthisinformationtothecomputingpowernetworktransactionplatformforcomputingpowernetworkconsumerstoselectappropriatecomputingpowerresourcesandnetworkresources,andthenprovidesthecomputingpowernetworkconsumerswiththeoptimalcomputingpowerresourceallocationandnetworkconnectionsolution.
–Networkoperator:Anoperatorthatprovidesconnectionserviceswhichconnectusersandcomputingpowerresources,andcanprovidedifferentlevelsofconnectionservicesaccordingtouserrequirements.
–AIempoweredplatform:Asanadditionalmoduleinthecomputingpowernetworkframework,itcanprovidecomputingpowerapplicationsforcomputingpowernetworkconsumersaswellasAI-basedauxiliaryoperationsforcomputingpowernetworkproviders.
10Functionalarchitectureofcomputingpowernetwork
ThefunctionalarchitectureofthecomputingpowernetworkisdepictedinFigure10-1.Itconsistsoffourlayerswhichprovidetheaforementionedfunctionalitiesbyinteractingwitheachother.
Figure10-1–Computingpowernetworkfunctionalarchitecture
10.1CPNresourcelayer
CPNresourcelayeriswheretheresourcesresidethatareprovidedbycomputingpowernetworkprovidersandnetworkoperators.Thisincludesresourcestypicallyusedinresourcenodes(cloud
8Rec.ITU-TY.2501(09/2021)
computingnode,edgecomputingnode,etc.)suchascomputingresources(servers,etc.),networkresources(switches,routers,etc.),storageresources(storagedevices),andalsothedeployedservicesthatrunontheservers.Inthislayer,theresourcesarevarious,heterogeneous,andbelongtomanyproviders.Usingunifiedidentificationcanrealizetheunifiedauthenticationandresourceschedulingofdifferentvendorsandheterogeneouscomputingpowerresources.
10.2CPNcontrollayer
TheCPNcontrollayer(realizedbytheCPNcontrolplane)collectstheinformationfromtheCPNresourcelayer,andsendsittoaservicelayerforfurtherpro
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