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1、NewMeasurementAbstractionsforDataCentersMinlanYuUniversityofSouthernCalifornia1KeyChallengesinDataCenters?Servicelevelagreements–Good,predictableperformance?Multi-tenancy–Resourceisolationacrosstenants?Costreduction–DrivethenetworktohighutilizationAllrequirefine-grainednetwor
2、kmanagement2Management=Measurement+ControlPerformanceDiagnosisMeasuredelay,IsolateandfixperformancethroughputofflowsproblemsSecurityCapturetrafficFilteroutorblockmaliciousanomaliestraffic/tenantsTrafficEngineeringCollectper-flowInstallroutingrulesstatisticsandchanges3Thestate
3、oftoday’sDatacentermeasurementTheneedfornewmeasurementabstractions4ManyMeasurementProgramsMonitorflowvolumesPerformanceAnomalydiagnosisdetectionQueryindependence:Specifymanymeasurementquerieswithsimple,programmableabstractions5ManyDataCollectionPrimitives?Passivelycollectdiff
4、erentsourcesofdataàLittlecontrolonwhat(not)tomeasureTargetindependence:Specifywhichdatatocollectindependentofwhereandhowitiscollected6LimitedMeasurementResources40Gbpsor100GbpsSwitchSmall,onchipmemoryControlfunctionsMeasurementToday,toreduceresourceusage?Lowsamplingrates?Miss
5、manyimportantinformationReconfigurable:Dynamicallychangethewayresourcesareusedfordifferentmeasurementqueriesandtraffic7ANewAbstractionforMeasurementSpecifymeasurementqueriesMeasurementFrameworkQueryindependence:ExpressiveAbstractionsformanyqueriesReconfigurable:EfficientRunti
6、meDynamicallyconfigureAutomaticallycollectdevices&manageresourcestherightdataTargetindependence:Implementableformanydevices8ExpressiveAbstractions(OpenSketch)PickingthepacketstomeasureStoring&exportingdataFiltertrafficaggregatesDynamicallyflowstocounters(e.g.,tohostA)(e.g.,mo
7、recountersforClassifyasetofflowselephantflows)(e.g.,asetofmalicioussourceIPs)pktParsingMatchingReconfigurable(onheaders&(OnheadersCountingtheirhashes)andhashes)9SupportManyQueriespktParsingMatchingReconfigurable(onheaders&(OnheadersCountingtheirhashes)andhashes)HowmanyuniqueI
8、PssendtraffictohostA?BitmapHash0001000101010OnsourceIP10SupportManyQ
