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Beehive Towards a Simple Abstraction for Scalable Soft Beehive Towards a Simple Abstraction for Scalable Soft

Beehive Towards a Simple Abstraction for Scalable Soft - PDF document

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Beehive Towards a Simple Abstraction for Scalable Soft - PPT Presentation

torontoedu Yashar Ganjali Department of Computer Science University of Toronto Toronto Canada yganjalicstorontoedu ABSTRACT Simplicity is a prominent advantage of SoftwareDe64257ned Networking SDN and is often exempli64257ed by implement ing a compli ID: 49527

torontoedu Yashar Ganjali Department

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HotNets-XIII,October27Ð28,2014,LosAngeles,CA,USA.Copyright2014ACM978-1-4503-3256-9/14/10...$ 1 Collectuponreceiv-ingStatReplys,andRouteevery1second.Toinvokeafunction,oneexplicitlyrequestsallorsomeentriesinstatedictionaries(denotedbywith),orinvokesthefunctionforeachentry(usingforeach).1app Collect(reply,mEntry)22onTimeOut(1sec):23withSandT:24Route(S,T)//Detailsonhandlingswitchandlinkdiscoveryisomittedforbrevity.Figure2:ThissimpleTra!cEngineeringappli-cationstoresßowstatsandthenetworktopology InournaiveTEexample,QueryandCollectaccesstheßowstatisticsdata(i.e.,theSdictionary)onaperswitchbasis,whereasRouteaccessesthewholedictionary.IftherewasnoRoute,theßowstatisticsdictionarycouldbedistributedamongcontrollersbyassigningtheßowstatisticsofeachswitch(i.e.,anentryinS)toonecontroller.Insuchasetting,QueryqueriesaswitchononecontrollerandCollectupdatestheßowstatisticsofthatswitchonthesamecontroller.Havingsaidthat,sinceRouterequiresthewholedictionary,wehavetocollocateallkeysonthesamecontroller.ThisessentiallymeansthatRouteandanyfunctionthatsharesstatewith val).Forinstance,ourTEapplication(Figure2)hasacellfortheßowstatisticsofeachswitchSWiintheformof(S,SWi,StatSWi behaviorisidenticaltowhentheyaredeployedonacentralizedcontroller,eventhoughtheymightbephys-icallydistributedoverdi!erentcontrollers(i.e.,hives). ,...,(Dn,Kn)}.Wecallthisset,the AsshowninFigure3,topreserveconsistency,Bee-hiveguaranteesthatallmessageswith respectivelybyacon-trolapplication.Sincethesetwomessagessharethe essentiallyindicatesthecorrelationofeachswitchtoeachvirtualnetwork.Wealsostoreprovenanceandcausationdataformessages.Forexample,westorethatpacketoutmessagesareemittedbythelearningswitchapplicationuponreceiving80%ofpacketinÕs.Wemeasureruntimemetricsoneachhivelocally,andperiodicallyaggregatethemonasinglehive.ThismergedinstrumentationdataisfurtherusedtoÞndtheoptimalplacementofbeesandisalsoutilizedforapplicationanalytics.Weimplementedthismechanismusingtheproposedabstractionasacontrolapplication.OnOptimalPlacement.FindingtheoptimumplacementofbeesisNP-Hard,asthefacilitylocationproblemcanbereducedtoit.Inadditiontothecomputationalcomplexities,therearelotsofsubtleperformanceside-e! WemigrateB1runningon earlierinSection3,forsuchafunction,Beehiveguaranteesthatthewholestate,i.e.,allcellsofthatapplication,areassignedtoonebee.Itisimportanttonotethat,sinceapplicationsdonotsharestate,theplatformmayplacedi!erentcentralizedapplicationsondi!erenthivestosatisfyextensiveresourcerequirements(e.g.,alargestate).Kandoo.Attheotherendofthespectrum,therearelocalcontrolapplicationsproposedinKandoo[]thatusethelocalstateofasingleswitchtoprocessfrequentevents.ThefunctionsofalocalcontrolapplicationuseswitchIDsasthekeysintheirstatedictionariesand,tohandlemessages,accesstheirstateusingasinglekey.Assuch,Beehiveconceivesacellforeachswitchandallocatesonebeeforeachcell.Inpractice,thisresultsinlocalfunctionsbeingreplicatedonallcontrollerstohandleswitcheslocaltothatcontroller. 10 ,thislivemigrationofcontrolplanefunctionslocalizesmessageprocessingandresultsinconsiderableimprovementincontrolchannelconsumption.ThelargestspikeinFig-ure4fcorrelatestoreplicatingcellstotheotherhives.Notethatthisisalldoneautomaticallyatruntimewithnomanualinterventionand,afteroptimization, ofcontrolapplicationsmanagingthenetworkasacohesivewhole.Forthemostpart,theseapplications 7.CONCLUSIONInthispaper,wehavepresentedaframeworkthatsimpliÞesthedesignandimplementationprocessof ,pages7Ð12,2012.[9]C.Kim,M.Caesar,andJ.Rexford.Floodlessinseattle:Ascalableethernetarchitectureforlargeenterprises.InProceedingsoftheSIGCOMMÕ08,pages3Ð14,2008.[10]T.Koponen,K.Amidon,P.Balland,M.Casado,A.Chanda,B.Fulton,I.Ganichev,J.Gross,N.Gude,P.Ingram,E.Jackson,A.Lambeth,R.Lenglet,S.-H.Li,A.Padmanabhan,J.Pettit,B.Pfa!,R.Ramanathan,S.Shenker,A.Shieh,J.Stribling,P.Thakkar,D.Wendlandt,A.Yip,andR.Zhang.Networkvirtualizationinmulti-tenantdatacenters.In