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Scalable TCP congestion control

Authors: Robert Morris 0005;

Scalable TCP congestion control

Abstract

The packet losses imposed by IP networks can cause long and erratic recovery delays, since senders must often use conservative loss detection and retransmission mechanisms. This paper proposes a model to explain and predict loss rates for TCP traffic. Based on that model, the paper describes a new router buffering algorithm, flow-proportional queuing (FPQ), that handles heavy TCP loads without imposing high loss rates. FPQ controls TCP by varying the router's queue length in proportion to the number of active TCP connections. Simulation results show that FPQ produces the same average transfer delays as existing schemes, but makes the delays more predictable and fairer.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
48
Top 10%
Top 1%
Top 10%
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