Cisco Cisco Packet Data Gateway (PDG)

 

 

The Diameter Credit Control Application (DCCA) group schema provides operational statistics per CC group, that can 
be used for monitoring and troubleshooting Gy interface functionality used by the following products: 

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GGSN 

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HA 

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IPSG 

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PDSN 

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P-GW 

  Please note that the DCCA-group related bulk statistics variables are moved from the 

System schema to the DCCA Group schema. These DCCA group bulk statistics variables are retained in the 
System schema for backward compatibility. 

This schema provides the following types of statistics:  

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Counter: A counter records incremental data cumulatively and rolls over when the counter limit is reached.  

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All counter statistics are cumulative and reset only by one of the following methods: roll-over when the 

limit is reached, after a system restart, or after a clear command is performed. 

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The limit depends upon the data type. 

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Gauge: A gauge statistic indicates a single value; a snapshot representation of a single point in time within a 

defined time frame. The gauge changes to a new value with each snapshot though a value may repeat from one 
period to the next. The limit depends upon the data type. 

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Information: This type of statistic provides information, often intended to differentiate sets of statistics; for 

example, a VPN name or IP address. The type of information provided depends upon the data type. 

The data type defines the format of the data for the value provided by the statistic. The following data types are used in 
statistics for this schema:  

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Int32/Int64: An integer, either 32-bit or 64-bit: 

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For statistics with the Int32 data type, the roll-over to zero limit is 4,294,967,295.  

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For statistics with the Int64 data type, the roll-over to zero limit is 18,446,744,073,709,551,615.  

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Float: A numeric value that includes decimal points; for example, 1.345.  

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String: A series of ASCII alphanumeric characters in a single grouping, usually pre-configured. 

  Unless otherwise indicated, all statistics are counters and all statistics are standards-based. 

Key Variables: Every schema has some variables which are typically referred to as “key variables”. These key 
variables provide index markers to identify which object the statistics apply to. For example, in the card schema the card 
number (variable %card%) uniquely identifies a card. For an HA service, the keys would be “%vpnname%” plus