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

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The use of <strong>the</strong> utilization factor <strong>in</strong>troduces higher degree of variation <strong>in</strong> load,<br />

and <strong>the</strong> possibility of sharp queue spikes. This necessitates complex variance<br />

reduction and queue control techniques with<strong>in</strong> <strong>the</strong> algorithm, and <strong>in</strong>troduces<br />

several extra parameters. The scheme may also require <strong>the</strong> sources to negotiate<br />

a lower value of <strong>the</strong> \<strong>Rate</strong> Increase Factor (RIF)" parameter to moderate <strong>the</strong><br />

network-directed rate <strong>in</strong>creases.<br />

The queue threshold<strong>in</strong>g procedures may require a new set of parameter recom-<br />

mendations <strong>for</strong> Wide Area Networks. It is not clear whe<strong>the</strong>r <strong>the</strong> scheme will<br />

work <strong>in</strong> WANs without complex parameter changes.<br />

4.9 UCSC Scheme<br />

This scheme was proposed by researchers Kalampoukas and Varma at <strong>the</strong> Univer-<br />

sity of Cali<strong>for</strong>nia, Santa Cruz (UCSC), and K.K. Ramakrishnan of AT&T Research<br />

[58].<br />

4.9.1 Key Techniques<br />

The scheme cleverly approximates <strong>the</strong> MIT scheme with O(1) bookkeep<strong>in</strong>g, and<br />

hence br<strong>in</strong>gs <strong>the</strong> computational complexity from O(N) to O(1). Intuitively, <strong>the</strong><br />

scheme spreads <strong>the</strong> MIT O(N) iteration over successive RM cells. As a result, <strong>the</strong><br />

convergence time and bu er requirements are traded o with computational com-<br />

plexity. The space requirements compared to <strong>the</strong> MIT scheme rema<strong>in</strong> O(N) s<strong>in</strong>ce <strong>the</strong><br />

scheme ma<strong>in</strong>ta<strong>in</strong>s some per-VC state <strong>in</strong><strong>for</strong>mation. In special cases, optimization may<br />

be achieved by us<strong>in</strong>g shift operations <strong>in</strong>stead of multiply/divide operations.<br />

75

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