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Enterprise QoS Solution Reference Network Design Guide

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How is <strong>QoS</strong> Optimally Deployed within the <strong>Enterprise</strong>?<br />

1-26<br />

<strong>Enterprise</strong> <strong>QoS</strong> <strong>Solution</strong> <strong>Reference</strong> <strong>Network</strong> <strong>Design</strong> <strong>Guide</strong><br />

Chapter 1 Quality of Service <strong>Design</strong> Overview<br />

The queuing policies can be expanded on a platform that supports a full 11-class <strong>QoS</strong> Baseline queuing<br />

model in such a way as to provide consistent servicing to Realtime, Best Effort and Scavenger traffic.<br />

For example, on a platform such as a Cisco IOS router that supports 11 queues with DSCP-based<br />

admission, an advanced queuing policy could be as follows:<br />

Voice (18%)<br />

Interactive Video (15%)<br />

Internetwork-Control<br />

Call-Signaling<br />

Mission-Critical Data<br />

Transactional Data<br />

<strong>Network</strong> Management<br />

Streaming Video<br />

Best Effort Data (25%)<br />

Bulk Data (4%)<br />

Scavenger (1%)<br />

The inter-relationship between these compatible queuing models is shown in Figure 1-8.<br />

Figure 1-8 Compatible Four-Class and Eleven-Class Queuing Models following Realtime, Best Effort<br />

and Scavenger Queuing Rules<br />

Scavenger 1%<br />

Best Effort 25%<br />

Bulk 4%<br />

Streaming-Video<br />

<strong>Network</strong> Management<br />

Best Effort > 25%<br />

Scavenger/<br />

Bulk < 5%<br />

Critical Data<br />

Realtime < 33%<br />

Transactional Data Mission-Critical Data<br />

Voice 18%<br />

Call-Signaling<br />

Interactive- Video 15%<br />

Internetwork-Control<br />

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Version 3.3

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