
Prior studies have shown that XCP D. Katabi et al., (2002), while showing high potential for effective congestion control, may have significant performance problems if it misestimates the bottleneck link capacity Y. Zhang et al., (2005). To explore the magnitude of this implication and ultimately to contain it, we have conducted a control theoretic analysis of the XCP protocol and have studied its properties in the presence of capacity estimation errors. Under such conditions, by using a revised fluid model, we have discovered that XCP will not settle at zero steady-state error. However, we found that the steady-state error is bounded by the estimation error, and this bound can be exploited in XCP router queue size planning. This preliminary analysis explains what we have observed experimentally in an implementation study of XCP.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
