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Traffic Management for the Available Bit Rate (ABR) Service in ...

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mention this concept of fairness <strong>for</strong> bursty tra c, we do not use <strong>the</strong> concept fur<strong>the</strong>r<br />

<strong>in</strong> this dissertation.<br />

3.3 Stable Steady State<br />

The steady state of <strong>the</strong> system is a state where <strong>the</strong> goals of e ciency (congestion<br />

avoidance) and fairness (max-m<strong>in</strong>) have been achieved. The scheme should rst<br />

be able to converge to a steady state from any set of <strong>in</strong>itial conditions, provided<br />

that <strong>the</strong> demand and capacity rema<strong>in</strong> constant. Secondly, once <strong>the</strong> scheme reaches<br />

optimal steady state operation, it should stay close to <strong>the</strong> optimal operation <strong>in</strong> spite<br />

of asynchrony <strong>in</strong> feedback/response characteristics of <strong>the</strong> network. In o<strong>the</strong>r words,<br />

<strong>the</strong> steady state oscillations between overloaded and underloaded states should be<br />

m<strong>in</strong>imal and bounded. An example of a desirable steady state operation is shown<br />

(with respect to congestion avoidance, or e ciency alone) <strong>in</strong> Figure 3.1. Typical<br />

steady states have a small amount of residual bandwidth to dra<strong>in</strong> out transient queues<br />

and reach <strong>the</strong> steady state operation of near-zero queu<strong>in</strong>g delay and high throughput.<br />

3.4 Transient Response<br />

Figure 3.5: Transient vs Steady State Per<strong>for</strong>mance<br />

46

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