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The voice model converts low level statistics (network delay, latency, and loss) into an APR 
score that takes into account voice requirements. Given the sensitivity of voice to jitter, the voice 
model is especially sensitive to jitter. This model is also very sensitive to sustained loss, which 
effect can be detrimental to voice. This model is also sensitive to delay and loss. (See Section 3 
for a detailed description of the effect of delay, jitter, and loss on voice quality).

The video conferencing model converts low level statistics into an Application Performance 
Rating (APR) score that takes into account video conferencing requirements. Given the 
detrimental effects of loss on video conferencing, this model is very sensitive to loss. This model 
is also sensitive to jitter and latency.

The enterprise model takes into account the effect of low level network characteristics on short 
TCP transactions. This model is very sensitive to network loss. On the other hand, this model is 
not affected by jitter. Given that signaling traffic uses TCP and consists of short transactions, 
The CNA application model that best captures the characteristics of signaling traffic is the 
enterprise application model. 

The web model is best suited for web applications. It converts latency and loss measures into 
an APR score that best describes the user experience in the context of a typical web 
transaction.
For more information on CNA, see 

on page 344.