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2000

Sensitivity of ABR Congestion Control Algorithms to Hurst Parameter Estimates

8 years 10 months ago
Sensitivity of ABR Congestion Control Algorithms to Hurst Parameter Estimates
Optimal linear predictors can be utilised in ABR control algorithms for the management of self-similar network traffic. However, estimates of the Hurst parameter are required to generate these predictors, and uncertainity in these estimates results in a potential mismatch of the predictors to the traffic. When mismatched congestion control algorithms are used within the network, the impact on the network system is greater queue lengths at buffers and more significant cell losses. The sensitivity of these algorithms to the Hurst parameter estimate is investigated both analytically and using simulations. It is shown that an asymmetry in the sensitivity occurs in the region where the Hurst parameter is significantly underestimated.
Sven A. M. Östring, Harsha Sirisena, Irene Hu
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where NETWORKING
Authors Sven A. M. Östring, Harsha Sirisena, Irene Hudson
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