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Probabilistic Congestion Control for Non-Adaptable Flows

Author(s): Jörg Widmer, Martin Mauve, Jan Peter Damm.
Title: Probabilistic Congestion Control for Non-Adaptable Flows
Published: Technical Report TR-01-003, Department for Mathematics and Computer Science, University of Mannheim, April 2001
Keyword(s): Congestion Control, Non-Adaptable Flows, TCP-Friendliness
Abstract: In this paper we present a TCP-friendly congestion control scheme for non-adaptable flows. The main characteristic of these flows is that their data rate is determined by an application and cannot be adapted to the current congestion situation of the network. Typical examples of non-adaptable flows are those produced by networked computer games or live audio and video transmissions where adaption of the quality is not possible (e.g., since it is already at the lowest possible quality). We propose to perform congestion control for non-adaptable flows by suspending them at appropriate times so that the aggregation of multiple non-adaptable flows behaves in a TCP-friendly manner. The decision whether a flow is to be suspended is based on random experiments. In order to allocate probabilities for these experiments, the data rate of the non-adaptable flow is compared to the rate that a TCP flow would achieve under the same conditions. We present a detailed discussion of the proposed scheme and evaluate it through extensive simulations with the network simulator ns-2.
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