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Scalable service differentiation using purely end-to-end mechanisms: features and limitations

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4 Author(s)
Nandagopal, T. ; Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA ; Kang-Won Lee ; Jia-Ru Li ; Bharghavan, V.

We investigate schemes for achieving service differentiation via weighted end-to-end congestion control mechanisms within the framework of the additive increase/multiplicative decrease (AIMD) principle, and study their performance as instantiations of the TCP protocol. Our first approach considers a class of weighted AIMD algorithms. This approach does not scale well in practice because it leads to excessive loss for flows with large weights, thereby causing early timeouts and a reduction in throughput. Our second approach considers a class of loss adaptive weighted AIMD algorithms. This approach scales by an order of magnitude compared to the previous approach, but is more susceptible to short-term unfairness and is sensitive to the accuracy of loss estimates. We conclude that adapting the congestion control parameters to the loss characteristics is critical to scalable service differentiation; on the other hand, estimating loss characteristics using purely end-to-end mechanisms is an inherently difficult problem

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Quality of Service, 2000. IWQOS. 2000 Eighth International Workshop on

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