Class eqptcapacity:EstPolOTCAMEntryHist1year (CONCRETE)

Class ID:16722
Class Label: historical Policy Overflow TCAM entry from policy estimator stats in 1 year
Encrypted: false - Exportable: false - Persistent: false - Configurable: false - Subject to Quota: Disabled - Abstraction Layer: Non-Regular MO, like stat/health... - APIC NX Processing: Disabled
Write Access: [NON CONFIGURABLE]
Read Access: [admin]
Creatable/Deletable: no (see Container Mos for details)
Semantic Scope: None
Semantic Scope Evaluation Rule: Parent
Monitoring Policy Source: Parent
Monitoring Flags : [ IsObservable: false, HasStats: false, HasFaults: false, HasHealth: false, HasEventRules: false ]

RN FORMAT: HDeqptcapacityEstPolOTCAMEntry1year-{index}

    [1] PREFIX=HDeqptcapacityEstPolOTCAMEntry1year- PROPERTY = index




DN FORMAT: 

[0] topology/pod-{id}/node-{id}/sys/eqptcapacity/HDeqptcapacityEstPolOTCAMEntry1year-{index}

[1] sys/eqptcapacity/HDeqptcapacityEstPolOTCAMEntry1year-{index}

                

Diagram

Super Mo: eqptcapacity:EstPolOTCAMEntryHist, Container Mos: eqptcapacity:Entity (deletable:no),

Containers Hierarchies

top:Root  This class represents the root element in the object hierarchy. All managed objects in the system are descendants of the Root element.  ├ fabric:Topology The root for IFC topology.    ├ fabric:Pod A pod.      ├ fabric:Node The root node for the APIC.        ├ top:System The APIC uses a policy model to combine data into a health score. Health scores can be aggregated for a variety of areas such as for the infrastructure, applications, or services. The category health score is calculated using a Lp -Norm formula. The health score penalty equals 100 minus the health score. The health score penalty represents the overall health score penalties of a set of MOs that belong to a given category and are children or direc...          ├ eqptcapacity:Entity             ├ eqptcapacity:EstPolOTCAMEntryHist1year Policy overflow-TCAM entry statistics. A class that represents historical statistics for Policy Overflow TCAM entry from policy estimator in a 1 year sampling interval. This class updates every day. top:Root  This class represents the root element in the object hierarchy. All managed objects in the system are descendants of the Root element.  ├ top:System The APIC uses a policy model to combine data into a health score. Health scores can be aggregated for a variety of areas such as for the infrastructure, applications, or services. The category health score is calculated using a Lp -Norm formula. The health score penalty equals 100 minus the health score. The health score penalty represents the overall health score penalties of a set of MOs that belong to a given category and are children or direc...    ├ eqptcapacity:Entity       ├ eqptcapacity:EstPolOTCAMEntryHist1year Policy overflow-TCAM entry statistics. A class that represents historical statistics for Policy Overflow TCAM entry from policy estimator in a 1 year sampling interval. This class updates every day.

Contained Hierarchy

eqptcapacity:EstPolOTCAMEntryHist1year Policy overflow-TCAM entry statistics. A class that represents historical statistics for Policy Overflow TCAM entry from policy estimator in a 1 year sampling interval. This class updates every day.

Inheritance

stats:Item The superclass for current and historical data of the statistics.  ├ stats:Hist The superclass for historical data objects of the statistics.    ├ eqptcapacity:EstPolOTCAMEntryHist Policy overflow-TCAM entry statistics. A super class that represents historical statistics for Policy Overflow TCAM entry from policy estimator.      ├ eqptcapacity:EstPolOTCAMEntryHist1year Policy overflow-TCAM entry statistics. A class that represents historical statistics for Policy Overflow TCAM entry from policy estimator in a 1 year sampling interval. This class updates every day.

childAction

Type: mo:ModificationChildAction
Primitive Type: scalar:Bitmask32

Units: null
Encrypted: false
Access: implicit
Category: TopLevelChildAction

Delete or ignore. For internal use only.

cnt

Type: scalar:Uint16

Units: null
Encrypted: false
Access: implicit
Category: TopLevelRegular

The number of readings made within the current sample.

dn

Type: reference:BinRef

Units: null
Encrypted: false
Access: implicit
Category: TopLevelDn

A tag or metadata is a non-hierarchical keyword or term assigned to the fabric module.

index

Type: scalar:Uint16

Overrides:stats:Hist:index

Units: null
Encrypted: false
Naming Property -- [NAMING RULES]
Access: naming
Category: TopLevelRegular

The index of the object.

lastCollOffset

Type: scalar:Uint32

Units: null
Encrypted: false
Access: implicit
Category: TopLevelRegular

modTs

Type: mo:TStamp
Primitive Type: scalar:Date

Units: null
Encrypted: false
Access: implicit
Category: TopLevelRegular

The time when this object was last modified.

normalizedAvg

Type: scalar:UByte

Units: percentage
Encrypted: false
Access: oper
Category: ImplicitAvg

The normalized temperature average. Temperature readings are normalized to a 0-100 scale. The normal operation temperature of a component can be 35-65 degrees. A value of 42 would be normalized to (42-35)*100/(65-35). This is necessary to present a uniform picture for various components that have different operating thresholds.

normalizedMax

Type: scalar:UByte

Units: percentage
Encrypted: false
Access: oper
Category: ImplicitMax

The largest normalized temperature average. Temperature readings are normalized to a 0-100 scale. The normal operation temperature of a component can be 35-65 degrees. A value of 42 would be normalized to (42-35)*100/(65-35). This is necessary to present a uniform picture for various components that have different operating thresholds. This value is only overwritten if the most current value is greater than the previous value. For example, if the value of the first reading is 3 and the value of the second reading is 5, the previous value is overwritten with 5. If the third reading is smaller than 5, the value remains at 5. Note that this value resets to 0 at the beginning of each interval.

normalizedMin

Type: scalar:UByte

Units: percentage
Encrypted: false
Access: oper
Category: ImplicitMin

The lowest normalized temperature average. Temperature readings are normalized to a 0-100 scale. The normal operation temperature of a component can be 35-65 degrees. A value of 42 would be normalized to (42-35)*100/(65-35). This is necessary to present a uniform picture for various components that have different operating thresholds. This value is only overwritten if the most current value is less than the previous value. For example, if the value of the first reading is 5 and the value of the second reading is 3, the previous value is overwritten with 3. If the third reading is greater than 3, the value remains at 3. Note that this value resets to 0 at the beginning of each interval.

normalizedSpct

Type: scalar:Uint16

Units: percentage
Encrypted: false
Access: oper
Category: ImplicitSuspect

The missed and/or incorrect normalized temperature average readings. Temperature readings are normalized to a 0-100 scale. The normal operation temperature of a component can be 35-65 degrees. A value of 42 would be normalized to (42-35)*100/(65-35). This is necessary to present a uniform picture for various components that have different operating thresholds.

normalizedThr

Type: stats:ThresholdedMask
Primitive Type: scalar:Bitmask64

Units: percentage
Encrypted: false
Access: oper
Category: ImplicitThresholded

The threshold crossing flags of the normalized temperature average. Temperature readings are normalized to a 0-100 scale. The normal operation temperature of a component can be 35-65 degrees. A value of 42 would be normalized to (42-35)*100/(65-35). This is necessary to present a uniform picture for various components that have different operating thresholds. The threshold crossing flags indicate the properties of the counter that crossed the threshold during the collection interval. Note that this value resets at the beginning of each interval.

normalizedTr

Type: scalar:SByte

Units: percentage
Encrypted: false
Access: oper
Category: ImplicitTrend

The trending value of the normalized temperature average. Temperature readings are normalized to a 0-100 scale. The normal operation temperature of a component can be 35-65 degrees. A value of 42 would be normalized to (42-35)*100/(65-35). This is necessary to present a uniform picture for various components that have different operating thresholds. Note that this value resets to 0 at the beginning of each interval.

repIntvEnd

Type: scalar:Date

Units: null
Encrypted: false
Access: implicit
Category: TopLevelRegular

repIntvStart

Type: scalar:Date

Units: null
Encrypted: false
Access: implicit
Category: TopLevelRegular

rn

Type: reference:BinRN

Units: null
Encrypted: false
Access: implicit
Category: TopLevelRn

Identifies an object from its siblings within the context of its parent object. The distinguished name contains a sequence of relative names.

status

Type: mo:ModificationStatus
Primitive Type: scalar:Bitmask32

Units: null
Encrypted: false
Access: implicit
Category: TopLevelStatus

The upgrade status. This property is for internal use only.