Draft:MaxNet: Difference between revisions
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* Fully distributed, no per-flow information at router. |
* Fully distributed, no per-flow information at router. |
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* Very low router buffer requirement. |
* Very low router buffer requirement. |
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* 23 bit signal in header allows 32 to |
* 23 bit signal in header allows 32 to 10<sup>15 </sup>bps (one million Gbps) per source with 0.001% accuracy. |
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* Only 2 integer operations per packet on router fast-path (max & add). |
* Only 2 integer operations per packet on router fast-path (max & add). |
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MaxNet is a redesigned TCP Internet congestion control framework based on explicit signaling of congestion information from routers to hosts. MaxNet achieves provable high performance with the following key features:
Equilibrium properties:
- Efficient utilization of network capacity [1]
- Fairness of source rates (weighted Max-Min fairness) [1]
Dynamic properties:
- Provable stability for any topology [2]
- Fast dynamics: Low latency and jitter, fast utilization of link capacity as flow starts [3]
Implementation [4]:
- Fully distributed, no per-flow information at router.
- Very low router buffer requirement.
- 23 bit signal in header allows 32 to 1015 bps (one million Gbps) per source with 0.001% accuracy.
- Only 2 integer operations per packet on router fast-path (max & add).
- ^ a b c Wydrowski, Bartek; Zukerman, Moshe (2002). "MaxNet: A congestion control architecture for maxmin fairness". IEEE Communications Letters, vol. 6, no. 11: 588–599.
- ^ a b Wydrowski, Bartek; Andrew, Lachlan L.H.; Zukerman, Moshe M. Y. (2003). "MaxNet: A Congestion Control Architecture for Scalable Networks". IEEE Communications Letters, vol. 7, no. 10: 511–513.
- ^ a b Wydrowski, Bartek; Andrew, Lachlan L.H.; Mareels, Iven M. Y. (2004). "MaxNet: Faster Flow Control Convergence". NETWORKING 2004: 588–599.
- ^ a b Andrew, Lachlan L. H.; Jacobsson, Krister; Low, Steven H.; Suchara, Martin; Witt, Ryan; Wydrowski, Bartek (2004). "MaxNet: Theory and Implementation" (PDF). Technical Report: 588–599.